--- /dev/null
--- /dev/null
++pandas for Debian
++-----------------
++
++For flexibility and easier interaction with upstream, packaging VCS is
++done on top of upstream's GIT hosted on github:
++git://github.com/wesm/pandas.git
++
++ -- Yaroslav Halchenko <debian@onerussian.com>, Tue, 13 Sep 2011 12:25:02 -0400
--- /dev/null
--- /dev/null
++pandas (0.25.3+dfsg2-5) unstable; urgency=medium
++
++ * Tests: ignore rounding difference on i386. (Closes: #968208)
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 16 Aug 2020 20:09:14 +0100
++
++pandas (0.25.3+dfsg2-4) unstable; urgency=medium
++
++ * Be compatible with matplotlib 3.3. (Closes: #966393)
++ * Docs: fix broken remote->local Javascript replacement.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 09 Aug 2020 22:11:25 +0100
++
++pandas (0.25.3+dfsg2-3) unstable; urgency=medium
++
++ * Nested DataFrames may raise ValueError with numpy 1.19
++ (upstream bug 32289). Clarify error message and xfail tests.
++ * Stop using a no-longer-existing numpy constant.
++ * Tests: ignore deprecations/rewordings and avoid setup exception
++ with numpy 1.19. (Together, the above Closes: #963817)
++ * Bump debhelper compat to 13.
++ * Fix HDFStore.flush (part of #877419) on s390x.
++ * Add NEWS.html.gz for Standards-Version 4.5.0.
++ (Choosing not to also add NEWS.gz as it would be large.)
++ * Tests: accept Hurd's errno and lack of multiprocessing.
++ * Docs: replace embedded Javascript copies with links.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 28 Jun 2020 21:47:22 +0100
++
++pandas (0.25.3+dfsg2-2) unstable; urgency=medium
++
++ * Tests: don't fail on jedi deprecation warnings.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Thu, 07 May 2020 11:57:06 +0100
++
++pandas (0.25.3+dfsg2-1) unstable; urgency=medium
++
++ * Remove inconveniently licensed (CC-BY-SA) snippets.
++ * Fix (harmless) SyntaxWarning on install. (Closes: #956021)
++ * Fix NaT sort order and test failures with numpy 1.18.
++ (Closes: #958531)
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 06 May 2020 12:18:23 +0100
++
++pandas (0.25.3+dfsg-9) unstable; urgency=medium
++
++ * Don't raise on import without matplotlib installed. Add test of this.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 03 Apr 2020 21:56:02 +0100
++
++pandas (0.25.3+dfsg-8) unstable; urgency=medium
++
++ * Tests: don't fail on harmless changes in dependencies. (Closes: #954647)
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Thu, 02 Apr 2020 18:53:32 +0100
++
++pandas (0.25.3+dfsg-7) unstable; urgency=medium
++
++ * Fix another test failure due to our warnings.
++ * Skip rather than xfail crashing tests.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 26 Feb 2020 18:45:58 +0000
++
++pandas (0.25.3+dfsg-6) unstable; urgency=medium
++
++ * Don't fail tests on our own warnings.
++ * Xfail some more HDF tests on non-x86 architectures.
++ * Warn that clipboard I/O is broken on big-endian architectures
++ and xfail test.
++ * Use pytest-forked to isolate (already xfailed) crashing test.
++ * Xfail tests that use no-longer-existing URLs.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 26 Feb 2020 07:40:25 +0000
++
++pandas (0.25.3+dfsg-5) unstable; urgency=medium
++
++ * Backport packaging from experimental:
++ - Remove unnecessary test skips, and reorganize remaining ones.
++ - Use xfails instead of skips.
++ - Add warnings for the known non-x86 breakages
++ (NaN -> datetime #877754, HDF and Stata I/O #877419).
++ - Tell I/O tests where to find the source tree's test data
++ instead of skipping them.
++ - Stop using deprecated envvar/tag names.
++ - Use https for links where available.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Mon, 24 Feb 2020 22:38:26 +0000
++
++pandas (0.25.3+dfsg-4) unstable; urgency=medium
++
++ * No-change upload to unstable. (Closes: #937236, #931557)
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 10 Nov 2019 16:35:41 +0000
++
++pandas (0.25.3+dfsg-3) experimental; urgency=medium
++
++ * Fix autopkgtest.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 09 Nov 2019 10:29:47 +0000
++
++pandas (0.25.3+dfsg-2) experimental; urgency=medium
++
++ * Split up the test suite to fit in memory on mipsel,
++ and stop ignoring it there. (Closes: #943732)
++ * Reproducibility: use correct path for stripping docs.
++ * Declare transition Breaks (see #931557).
++ * Tests: ignore warning from Python 3.8.
++ * Update d/copyright (some files have moved).
++ * Use local requirejs.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 08 Nov 2019 07:56:16 +0000
++
++pandas (0.25.3+dfsg-1) experimental; urgency=medium
++
++ * Upstream bugfix release.
++ * Drop patch no longer needed.
++ * Update autopkgtest dependencies, drop unused link.
++ * Better document test skips, remove unnecessary ones.
++ * Reproducibility: strip timestamps and build paths,
++ use fixed random seeds for building documentation.
++ * Ignore test suite on mipsel.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 02 Nov 2019 22:26:31 +0000
++
++pandas (0.25.2+dfsg-2) experimental; urgency=medium
++
++ * Correct path for contributors list, and don't fail when
++ not building the -doc package.
++ * Try again to fix test failure due to deb_nonversioneer_version.
++ * Skip some failing tests on non-Intel (see #943732),
++ require other tests to pass.
++ * Fix another typo.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Mon, 28 Oct 2019 22:06:10 +0000
++
++pandas (0.25.2+dfsg-1) experimental; urgency=medium
++
++ [ Graham Inggs ]
++ * Skip python2 test_register_by_default on s390x
++ * Fix python2 test failures in certain locales
++
++ [ Yaroslav Halchenko ]
++ * Recent upstream release
++ * Updated patches
++ * Adjusted for the gone ci/print_versions
++ * d/control
++ - added python{,3}-hypothesis to b-depends
++
++ [ Rebecca N. Palmer ]
++ * New upstream release.
++ * Upload to experimental, as this is an API break (see #931557).
++ * Drop patches fixed upstream, refresh others.
++ * Remove Python 2 packages (see #937236).
++ * Use Python 3 in shebangs and subprocess calls.
++ * Re-enable building on Python 3.8.
++ * Use the new location of print_versions.
++ * Skip feather tests and remove build-dependency:
++ they now need pyarrow.feather, which isn't in Debian.
++ * Don't fail tests for our versioneer removal
++ or a differently worded error message.
++ * Add/update minimum dependency versions.
++ * Add numpydoc, nbconvert and pytest-xdist build-depends.
++ * Update d/copyright.
++ * Pre-generate a contributor list to avoid needing the git log
++ at build time (when it won't exist).
++ * Allow tests to fail for now.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Mon, 28 Oct 2019 07:53:21 +0000
++
++pandas (0.23.3+dfsg-8) unstable; urgency=medium
++
++ * Examples dependencies: re-add statsmodels and xarray;
++ also add rpy2 and feather.
++ * Use packaged intersphinx indexes. (Closes: #876417)
++ * Use https for intersphinx links.
++ * Remove cythonized-files*. (They are regenerated on each build.)
++ * Remove test xfail, as statsmodels has now been fixed.
++ * Set Rules-Requires-Root: no.
++ * Make documentation Suggest the Python 3 version.
++ * Suggest statsmodels.
++ * Only use Python 3 sphinx, and mark it -Indep/nodoc.
++ * Bump debhelper compat to 12 and use debhelper-compat and pybuild.
++ * Remove pycompat and X-Python*-Version.
++ * Add missing d/copyright item.
++ * Remove obsolete TODOs.
++ * Clarify descriptions.
++ * Stop referring to examples that no longer exist.
++ * Fix typos.
++ * Remove old (no longer used) EXCLUDE_TESTS*.
++ * Deduplicate documentation files.
++ * Use Python 3 shebangs, and fix broken shebang.
++ * Add python3-ipykernel, -ipywidgets, -seaborn to
++ Build-Depends-Indep.
++ * Disable dh_auto_test: it fails, and we run the tests elsewhere.
++ * Mark test dependencies nocheck/nodoc.
++ * Remove old minimum versions / alternative dependencies.
++ * Build-depend on dh-python.
++ * Don't build on python3.8, as it will fail tests (see #931557).
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 27 Oct 2019 11:38:37 +0000
++
++pandas (0.23.3+dfsg-7) unstable; urgency=medium
++
++ * Revert test patch and use an xfail instead.
++ * Temporarily drop statsmodels+xarray Build-Depends, as they are
++ uninstallable until this is built.
++ * Add python3-xarray to autopkgtest Depends.
++ * Drop Python 2 autopkgtest (but keep build-time test).
++ * Remove duplicate Recommends.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 20 Sep 2019 08:01:37 +0100
++
++pandas (0.23.3+dfsg-6) unstable; urgency=medium
++
++ * Team upload
++ * Avoid FTBFS with statsmodels 0.9.0
++ * Add python3-statsmodels to autopkgtest Depends
++
++ -- Graham Inggs <ginggs@debian.org> Wed, 18 Sep 2019 13:46:01 +0000
++
++pandas (0.23.3+dfsg-5) unstable; urgency=medium
++
++ * Team upload
++ * Add locales-all to Build-Depends and autopkgtest Depends in order to
++ consistently test in all avalable locales
++ * Add crh_UA to skip_noencoding_locales.patch
++ * Fix wrong debian/source/options exclude, thanks Steve Langasek
++
++ -- Graham Inggs <ginggs@debian.org> Wed, 18 Sep 2019 05:57:44 +0000
++
++pandas (0.23.3+dfsg-4) unstable; urgency=medium
++
++ * Add self to Uploaders.
++ * Recommend .xls format support also in Python 3. (Closes: #880125)
++ * Tests: don't call fixtures, as this is an error in pytest 4+.
++ * Don't test datetime in locales with no encoding.
++ (These are broken by a Python stdlib bug.)
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 14 Sep 2019 16:37:43 +0100
++
++pandas (0.23.3+dfsg-3) unstable; urgency=medium
++
++ * Team upload.
++ * Make np.array @ Series act the right way round. (Closes: #923708)
++ * Replace #918206 fix with a fix that doesn't change the return type
++ and inplace-ness of np.array += DataFrame. (Closes: #923707)
++ * Fix missing page in documentation.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 06 Mar 2019 22:19:34 +0000
++
++pandas (0.23.3+dfsg-2) unstable; urgency=medium
++
++ * Team upload.
++ * Don't fail the build on +dfsg versions.
++ * Fix another d/copyright issue.
++ * Add d/upstream/metadata.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 02 Mar 2019 14:57:12 +0000
++
++pandas (0.23.3+dfsg-1) unstable; urgency=medium
++
++ * Team upload.
++ * Fix DataFrame @ np.array matrix multiplication. (Closes: #918206)
++ * Fix documentation build (Sphinx now defaults to Python 3).
++ (Closes: #804552, LP: #1803018)
++ * Add documentation examples dependencies.
++ * Update d/copyright.
++ * Remove unlicensed files.
++
++ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 01 Mar 2019 23:02:18 +0000
++
++pandas (0.23.3-1) unstable; urgency=medium
++
++ * New upstream release
++ * debian/patches
++ - many upstreamed patches are removed and others refreshed
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 28 Jul 2018 00:39:32 -0400
++
++pandas (0.22.0-8) unstable; urgency=medium
++
++ * Team Upload.
++ * patches:
++ + Add patch: deb_dont_call_py2_in_py3_test.patch
++ During python3 unit test, command 'python' is called by one of
++ the tests. When there is no python2 installation, tests such as
++ autopkgtest would fail.
++ * Put the conditionally applied patch to series' comment to avoid
++ lintianW: patch-file-present-but-not-mentioned-in-series.
++ * Trying to fix the autopkgtest:
++ + Leave a comment about the way to run unittest in the test control file.
++ + Synchronize B-D and autopkgtest depends.
++ + Allow output to stderr during test.
++ * Switch from nosetest to pytest.
++ * Synchronize pytest argument for rules and autopkgtest.
++ - Replace tests/unittest with the symlink pointed to tests/unittest3.
++ That scripts is smart enough to tell from py2 and py3, so we won't
++ need to write the same thing twice.
++ - Filter out intel tests on non-x86 architectures.
++ - Only enable "slow" tests on (Debian + x86) tester. "slow" tests may
++ consume too much memory to cause memory error or trigger OOM killer.
++ * control:
++ + Add missing python3 dependencies and sort the B-D list.
++ * Point Vcs-* fields to Salsa.
++ * Update Homepage to https://pandas.pydata.org/ .
++ * rules:
++ * Reverse the architecture filtering logic.
++ * Disable "slow" tests during build for non-x86 architectures.
++ This may significantly reduce the build time on those weak architectures.
++ * Don't specify the pytest marker expression twice.
++ The first expression will be overridden.
++ * Fix hardening flags.
++ - Cleanup the mess of unused nosetest exclusion expressions.
++ * Update lintian overrides.
++ + Override source-is-missing error, which is a false-positive triggered
++ by insane-line-length-in-source-file.
++ + Override insane-line-length-in-source-file because we have nothing
++ todo with lenghy lines in html.
++ * TODO: Point out that the unittest speed can be boosted with pytest-xdist.
++
++ -- Mo Zhou <cdluminate@gmail.com> Sun, 17 Jun 2018 16:01:16 +0000
++
++pandas (0.22.0-7) unstable; urgency=medium
++
++ * Team Upload.
++
++ [ Mo Zhou ]
++ * Remove patch: deb_fix_test_failure_test_basic_indexing, which is
++ unneeded for pandas >= 0.21 . (Closes: #900061)
++
++ [ Graham Inggs ]
++ * Add riscv64 to the list of "not intel" architectures
++ * Update mark_tests_working_on_intel_armhf.patch
++
++ -- Graham Inggs <ginggs@debian.org> Tue, 29 May 2018 13:50:59 +0000
++
++pandas (0.22.0-6) unstable; urgency=medium
++
++ * Team upload
++ * Fix FTBFS with Sphinx 1.7, thanks Dmitry Shachnev!
++
++ -- Graham Inggs <ginggs@debian.org> Tue, 24 Apr 2018 19:09:20 +0000
++
++pandas (0.22.0-5) unstable; urgency=medium
++
++ * Team upload
++ * Add compatibility with Matplotlib 2.2 (Closes: #896673)
++
++ -- Graham Inggs <ginggs@debian.org> Mon, 23 Apr 2018 13:56:12 +0000
++
++pandas (0.22.0-4) unstable; urgency=medium
++
++ * Team upload
++ * Fix more tests expecting little-endian results
++ * Fix heap corruption in read_csv on 32-bit, big-endian architectures
++ (Closes: #895890)
++
++ -- Graham Inggs <ginggs@debian.org> Sun, 22 Apr 2018 21:48:27 +0000
++
++pandas (0.22.0-3) unstable; urgency=medium
++
++ * Team upload
++ * Refresh and re-enable mark_tests_working_on_intel.patch
++ * Fix test__get_dtype tests expecting little-endian results
++
++ -- Graham Inggs <ginggs@debian.org> Thu, 12 Apr 2018 11:04:21 +0000
++
++pandas (0.22.0-2) unstable; urgency=medium
++
++ * debian/patches
++ - as upstream moved over to pytest from nose, no more nose imports were
++ in the code. Just adjusted patches to import nose where needed
++ * debian/rules
++ - specify LC_ALL=C locale to avoid crash while building docs
++ - add the 0001-TST-pytest-deprecation-warnings-GH17197-17253-reversed.patch
++ to the series if building on a system with an old pytest
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 21 Feb 2018 23:44:58 -0500
++
++pandas (0.22.0-1) unstable; urgency=medium
++
++ * Upstream release
++ * debian/patches
++ - refreshed many
++ - updated some
++ - added
++ - up_moto_optional to skip tests requiring moto (#777089)
++ - deb_skip_difffailingtests to skip two failing tests
++ (see https://github.com/pandas-dev/pandas/issues/19774)
++ - up_xlwt_optional to skip a test requiring xlwt
++ - deb_ndsphinx_optional to make nbsphinx optional.
++ Make nbsphinx not required in build-depends on systems with
++ older python-sphinx
++ - mark_tests_failing_on_386.patch
++ see https://github.com/pandas-dev/pandas/issues/19814
++ - removed adopted upstream:
++ - dateutil-2.6.1-fixed-ambiguous-tz-dst-be.patch
++ - up_tst_np_argsort_comparison2
++ - disabled for now:
++ - mark_tests_working_on_intel.patch
++ - up_tst_dont_assert_that_a_bug_exists_in_numpy
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 21 Feb 2018 10:30:06 -0500
++
++pandas (0.20.3-11) unstable; urgency=medium
++
++ * Team upload.
++ * Cherry-pick upstream commit 5f2b96bb637f6ddeec169c5ef8ad20013a03c853
++ to workaround a numpy bug. (Closes: #884294)
++ + patches/up_tst_dont_assert_that_a_bug_exists_in_numpy
++ * Cherry-pick upstream commits to fix test failure caused by test_argsort().
++ + patches/up_tst_np_argsort_comparison2
++ * Workaround test failure of test_basic_indexing() in file
++ pandas/tests/series/test_indexing.py .
++ + patches/deb_fix_test_failure_test_basic_indexing
++
++ -- Mo Zhou <cdluminate@gmail.com> Sat, 20 Jan 2018 09:00:31 +0000
++
++pandas (0.20.3-10) unstable; urgency=medium
++
++ * Team upload.
++ * Exclude more tests failing on mips, armhf and powerpc
++
++ -- Andreas Tille <tille@debian.org> Tue, 24 Oct 2017 21:26:02 +0200
++
++pandas (0.20.3-9) unstable; urgency=medium
++
++ * Team upload.
++ * Add missing "import pytest" to two patched tests
++ * Secure URI in watch file
++
++ -- Andreas Tille <tille@debian.org> Tue, 24 Oct 2017 08:18:54 +0200
++
++pandas (0.20.3-8) unstable; urgency=medium
++
++ * Team upload.
++ * Exclude one more test and de-activate non-working ignore of test errors
++
++ -- Andreas Tille <tille@debian.org> Mon, 23 Oct 2017 21:32:24 +0200
++
++pandas (0.20.3-7) unstable; urgency=medium
++
++ * Team upload.
++ * debhelper 9
++ * Use Debian packaged mathjax
++ * Do not Recommends python3-six since it is mentioned in Depends
++ * Remove redundant/outdated XS-Testsuite: autopkgtest
++ * Exclude one more test and de-activate non-working ignore of test errors
++
++ -- Andreas Tille <tille@debian.org> Mon, 23 Oct 2017 17:33:55 +0200
++
++pandas (0.20.3-6) unstable; urgency=medium
++
++ * Team upload.
++ * Ignore test errors on some architectures
++ (Concerns bug #877419)
++ * Remove __pycache__ remainings from testing
++ * Standards-Version: 4.1.1
++ * DEP3 for Google Analytics patch
++ * Complete Google Analytics patch
++
++ -- Andreas Tille <tille@debian.org> Mon, 23 Oct 2017 09:05:27 +0200
++
++pandas (0.20.3-5) unstable; urgency=medium
++
++ * Make sure remainings of nose tests will not fail. That's a pretty stupid
++ patch since the tests are not using nose any more only some remaining
++ exceptions. Hope it will work anyway.
++ (Concerns bug #877419)
++
++ -- Andreas Tille <tille@debian.org> Mon, 16 Oct 2017 21:57:45 +0200
++
++pandas (0.20.3-4) unstable; urgency=medium
++
++ * Mark those tests @pytest.mark.intel that pass only on Intel architectures
++ * d/rules: try to exclude tests that were marked "intel"
++ (Concerns bug #877419)
++
++ -- Andreas Tille <tille@debian.org> Sat, 14 Oct 2017 19:49:01 +0200
++
++pandas (0.20.3-3) unstable; urgency=medium
++
++ * Team upload.
++ * Moved packaging from pkg-exppsy to Debian Science
++ * Exclude certain tests on certain architectures
++ (Concerns bug #877419)
++
++ -- Andreas Tille <tille@debian.org> Fri, 13 Oct 2017 20:52:53 +0200
++
++pandas (0.20.3-2) unstable; urgency=medium
++
++ * debian/control
++ - boosted policy to 4.0.0 (I think we should be ok)
++ - drop statsmodels from build-depends to altogether avoid the circular
++ build-depends (Closes: #875805)
++ * Diane Trout:
++ - Add dateutil-2.6.1-fixed-ambiguous-tz-dst-be.patch (Closes: #875807)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 21 Sep 2017 16:11:29 -0400
++
++pandas (0.20.3-1) unstable; urgency=medium
++
++ * Fresh upstream release
++ * debian/patches
++ - updated some, removed changeset*, and disabled possibly fixed upstream
++ ones
++ * debian/{control,rules}
++ - upstream switched to use pytest instead of nose
++ - enabled back all the tests for now
++ - added python-nbsphinx for b-depends, needed for docs
++ * debian/*.install
++ - no .so at the first level of subdirectories, now present on the third
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 10 Jul 2017 20:00:59 -0400
++
++pandas (0.19.2-5.1) unstable; urgency=medium
++
++ * Non-maintainer upload.
++ * Apply patch by Rebecca N. Palmer
++ Closes: #858260
++
++ -- Andreas Tille <tille@debian.org> Sun, 02 Apr 2017 07:06:36 +0200
++
++pandas (0.19.2-5) unstable; urgency=medium
++
++ * And one more test to skip on non-amd64 -- test_round_trip_valid_encodings
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 12 Jan 2017 13:10:11 -0500
++
++pandas (0.19.2-4) unstable; urgency=medium
++
++ * Exclude few more "plotting" tests on non-amd64 which cause FTBFS
++ on s390
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 12 Jan 2017 11:43:13 -0500
++
++pandas (0.19.2-3) unstable; urgency=medium
++
++ * Brought back changeset_0699c89882133a41c250abdac02796fec84512e8.diff
++ which should resolve tests failures on BE platforms (wasn't yet
++ upstreamed within 0.19.x releases)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 12 Jan 2017 09:44:52 -0500
++
++pandas (0.19.2-2) unstable; urgency=medium
++
++ * Exclude a number of tests while running on non-amd64 platforms
++ due to bugs in numpy/pandas
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 11 Jan 2017 12:13:05 -0500
++
++pandas (0.19.2-1) unstable; urgency=medium
++
++ * Fresh upstream minor release -- supposed to be bugfix but interacts
++ with current beta (1:1.12.0~b1-1) numpy leading to various failed tests
++ * debian/patches
++ - changeset_ae6a0a51cf41223394b7ef1038c210045d486cc8.diff
++ to guarantee the same Series dtype as of cut regardless of architecture
++ - up_buggy_overflows
++ workaround for inconsistent overflows while doing pow operation on big
++ ints
++ * debian/rules
++ - exclude more tests which are due to known issues in numpy beta and thus
++ not to be addressed directly in pandas
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 04 Jan 2017 10:19:52 -0500
++
++pandas (0.19.1+git174-g81a2f79-1) experimental; urgency=medium
++
++ * New upstream snapshot from v0.19.0-174-g81a2f79
++ - lots of bugfixes since 0.19.1, so decided to test snapshot
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 10 Dec 2016 22:43:19 -0500
++
++pandas (0.19.1-3) unstable; urgency=medium
++
++ * Require cython >= 0.23 or otherwise use pre-cythoned sources
++ (should resolve https://github.com/pandas-dev/pandas/issues/14699
++ on jessie)
++ * debian/control
++ - Build-Conflicts with python-tables 3.3.0-4 since that one leads to FTBFS
++ - boosted policy to 3.9.8
++ * debian/rules
++ - Exclude few more tests which fail on big endian and other platforms
++ test_(msgpack|read_dta18)
++ * debian/patches
++ - changeset_0699c89882133a41c250abdac02796fec84512e8.diff
++ to compare in the tests against native endianness
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 09 Dec 2016 15:49:50 -0500
++
++pandas (0.19.1-2) unstable; urgency=medium
++
++ * debian/control
++ - Moved statsmodels build-depend (optional) under build-depends-indep
++ to break circular dependency. Thanks Stuart Prescott for the analysis
++ * debian/patches/
++ - changeset_1309346c08945cd4764a549ec63cf51089634a45.diff
++ to not mask problem reading json leading to use of undefined variable
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 27 Nov 2016 21:49:40 -0500
++
++pandas (0.19.1-1) unstable; urgency=medium
++
++ * Fresh upstream release
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 18 Nov 2016 12:19:54 -0500
++
++pandas (0.19.0+git14-ga40e185-1) unstable; urgency=medium
++
++ * New upstream post-release (includes some bugfixes) snapshot
++ * debian/patches
++ - dropped changeset_ and up_ patches adopted upstream, refreshed the rest
++ * debian/rules,patches
++ - save debian-based version into __version.py, so doesn't conflict with
++ upstream tests of public API
++ - exclude for now test_expressions on python3
++ (see https://github.com/pydata/pandas/issues/14269)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 13 Oct 2016 10:26:18 -0400
++
++pandas (0.18.1-1) unstable; urgency=medium
++
++ * Fresh upstream release
++ * debian/patches/
++ - changeset_46af7cf0f8e0477f6cc7454aa786a573228f0ac3.diff
++ to allow also AttributeError exception being thrown in the tests
++ (Closes: #827938)
++ - debian/patches/deb_skip_test_precision_i386
++ removed (upstreamed)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 13 Jul 2016 10:42:00 -0400
++
++pandas (0.18.0+git114-g6c692ae-1) unstable; urgency=medium
++
++ * debian/control
++ - added python{,3}-pkg-resources to direct Depends for the packages
++ (Closes: #821076)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 17 Apr 2016 20:49:25 -0400
++
++pandas (0.17.1-3) unstable; urgency=medium
++
++ * debian/tests/unittest*
++ - set LC_ALL=C.UTF-8 for the tests run to prevent failure of test_set_locale
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 08 Dec 2015 08:31:30 -0500
++
++pandas (0.17.1-2) unstable; urgency=medium
++
++ * debian/control
++ - make -statsmodels and -tables optional build-depends on those platforms
++ where they are N/A atm. Added bdepends on python3-tables since available
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 06 Dec 2015 12:58:26 -0500
++
++pandas (0.17.1-1) unstable; urgency=medium
++
++ * Fresh upstream bugfix release
++ * debian/rules
++ - fixed deletion of moved away .so files
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 27 Nov 2015 10:52:49 -0500
++
++pandas (0.17.0+git8-gcac4ad2-2) unstable; urgency=medium
++
++ * Bug fix: install also msgpack/*.so extensions to -lib packages
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 10 Oct 2015 13:52:54 -0400
++
++pandas (0.17.0+git8-gcac4ad2-1) unstable; urgency=medium
++
++ * New upstream snapshot post release to pick up few bugfixes
++ - Started to trigger failures of test_constructor_compound_dtypes and
++ test_invalid_index_types -- disabled those for now, see
++ https://github.com/pydata/pandas/issues/11169
++ * debian/rules
++ - Generate pandas/version.py if not present out of debian/changelog
++ upstream version information (versioneer wouldn't know since relies on
++ git)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 09 Oct 2015 21:35:23 -0400
++
++pandas (0.16.2+git65-g054821d-1) unstable; urgency=medium
++
++ * Fresh upstream post-release snapshot (to pick up recent fixes etc)
++ (Closes: #787432)
++ * debian/{control,rules}
++ - build -doc package (Closes: #660900)
++ - add ipython (or alternative new ones from neurodebian) into
++ Build-Depends-Indep to build docs
++ - add python{,3}-{lxml,html5lib} to Build-Depends and Recommends
++ - use LC_ALL=C.UTF-8 while running tests
++ - exclude also test_set_locale since it fails ATM
++ see https://github.com/pydata/pandas/issues/10471
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 30 Jun 2015 17:26:54 -0400
++
++pandas (0.16.0~rc1-1) experimental; urgency=medium
++
++ * New upstream release candidate
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 13 Mar 2015 14:21:39 -0400
++
++pandas (0.15.2-1) unstable; urgency=medium
++
++ * Fresh upstream release
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 11 Dec 2014 09:51:57 -0500
++
++pandas (0.15.1+git125-ge463818-1) unstable; urgency=medium
++
++ * New upstream snapshot from v0.15.1-125-ge463818.
++ * Upload to unstable during freeze since previous one in sid didn't make it
++ to jessie anyways
++ * debian/control
++ - remove versioning demand for cython (it would use pre-cythonized code on
++ older ones and there is no longer need in sid/jessie to enforce version).
++ As a consecuence -- removed all dsc patches pointing to
++ nocython3-dsc-patch, since no longer needed
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 30 Nov 2014 21:09:36 -0500
++
++pandas (0.15.0-2) unstable; urgency=medium
++
++ * debian/control
++ - specify minimal numpy to be 1.7
++ * debian/patches
++ - deb_skip_stata_on_bigendians skip test_stata again on BE platforms
++ - deb_skip_test_precision_i386 skip test_precision_conversion on 32bit
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 30 Oct 2014 23:09:13 -0400
++
++pandas (0.15.0-1) unstable; urgency=medium
++
++ * New upstream release
++ * debian/control
++ - restrict statsmodels and matplotlib from being required on the ports
++ which do not have them
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 26 Oct 2014 11:30:23 -0400
++
++pandas (0.14.1-2) unstable; urgency=medium
++
++ * debian/patches/changeset_314012d.diff
++ - Fix converter test for MPL1.4 (Closes: #763709)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 06 Oct 2014 11:53:42 -0400
++
++pandas (0.14.1-1) unstable; urgency=medium
++
++ * New upstream release
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 10 Jul 2014 23:38:49 -0400
++
++pandas (0.14.0+git393-g959e3e4-1) UNRELEASED; urgency=medium
++
++ * New upstream snapshot from v0.14.0-345-g8cd3dd6
++ * debian/rules
++ - disable running disabled tests to prevent clipboard tests failures
++ under kfreebsd kernels
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 07 Jul 2014 12:29:50 -0400
++
++pandas (0.14.0+git213-g741b2fa-1) experimental; urgency=medium
++
++ * New upstream snapshot from v0.14.0-213-g741b2fa.
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 19 Jun 2014 10:30:42 -0400
++
++pandas (0.14.0+git17-g3849d5d-1) unstable; urgency=medium
++
++ * New upstream snapshot from v0.14.0-17-g3849d5d -- has resolved a number
++ of bugs sneaked into 0.14.0 release, and caused FTBFS on some platforms
++ and backports
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 01 Jun 2014 00:54:34 -0400
++
++pandas (0.14.0-1) unstable; urgency=medium
++
++ * New upstream release
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 30 May 2014 08:45:35 -0400
++
++pandas (0.14.0~rc1+git79-g1fa5dd4-1) experimental; urgency=medium
++
++ * New upstream snapshot from v0.14.0rc1-73-g8793356
++ * debian/patches:
++ - dropped CPed changeset_*s
++ - added deb_disable_googleanalytics
++ * debian/control:
++ - boosted policy compliance to 3.9.5
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 27 May 2014 16:00:00 -0400
++
++pandas (0.13.1-2) unstable; urgency=low
++
++ * debian/patches/changeset_6d56e7300d66d3ba76684334bbb44b6cd0ea9f61.diff
++ to fix FTBFS of statsmodels due to failing tests (Closes: #735804)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 08 Feb 2014 12:46:42 -0500
++
++pandas (0.13.1-1) unstable; urgency=low
++
++ * Fresh upstream release
++ * debian/patches
++ - deb_skip_test_pytables_failure to mitigate error while testing on
++ amd64 wheezy and ubuntu 12.04
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 04 Feb 2014 12:09:29 -0500
++
++pandas (0.13.0+git464-g15a8ff7-1) experimental; urgency=low
++
++ * Fresh pre-release snapshot
++ * debian/patches
++ - removed all cherry-picked patches (should have been upstreamed)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 29 Jan 2014 21:27:45 -0500
++
++pandas (0.13.0-2) unstable; urgency=low
++
++ * debian/patches
++ - 0001-BLD-fix-cythonized-msgpack-extension-in-setup.py-GH5.patch
++ to resolve issue with building C++ Cython extension using
++ pre-generated sources
++ - 0001-Add-division-future-import-everywhere.patch
++ 0002-remove-explicit-truediv-kwarg.patch
++ to resolve compatibility issues with elderly Numexpr
++ - 0001-BUG-Yahoo-finance-changed-ichart-url.-Fixed-here.patch
++ - deb_skip_sequencelike_on_armel to prevent FTBFS on armel due to failing
++ test: https://github.com/pydata/pandas/issues/4473
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 03 Jan 2014 23:13:48 -0500
++
++pandas (0.13.0-1) unstable; urgency=low
++
++ * Fresh upstream release
++ - resolved compatibility with matplotlib 1.3 (Closes: #733848)
++ * debian/{control,rules}
++ - use xvfb (added to build-depends together with xauth, and xclip)
++ for tests
++ - define http*_proxy to prevent downloads
++ - install .md files not .rst for docs -- were renamed upstream
++ - include .cpp Cython generated files into debian/cythonized-files*
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 01 Jan 2014 18:08:22 -0500
++
++pandas (0.12.0-2) unstable; urgency=low
++
++ [ Dmitry Shachnev ]
++ * DEP-8 tests improvements:
++ - Use Xvfb for running tests.
++ - Increase verbosity using -v flag.
++ - Fix printing interpreter version in unittests3.
++ * Fix indentaion in debian/control.
++
++ [ Yaroslav Halchenko ]
++ * debian/control
++ - place python3-matplotlib ahead of elderly python-matplotlib without
++ python3 support since now we have python3-matplotlib in sid
++ * debian/copyright
++ - go through reported missing copyright/license statements (Closes:
++ #700564) Thanks Luca Falavigna for the report
++ * debian/rules,patches
++ - exclude test test_bar_log due to incompatibility with matplotlib 1.3.0 (test
++ adjusted upstream and would be re-enabled for the new release).
++ - debian/patches/changeset_952c5f0bc433622d21df20ed761ee4cb728370eb.diff
++ adds matplotlib 1.3.0 compatibility
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 14 Sep 2013 20:02:58 -0400
++
++pandas (0.12.0-1) unstable; urgency=low
++
++ * New upstream release:
++ - should address failed tests on 32bit platforms
++ * debian/patches
++ - neurodebian: allow to build for jessie with outdated cython
++ * debian/control
++ - build for Python2 >= 2.7 due to some (probably temporary) incompatibilities
++ in tests with 2.6
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 24 Jul 2013 23:29:03 -0400
++
++pandas (0.12.0~rc1+git127-gec8920a-1) experimental; urgency=low
++
++ * New upstream snapshot from origin/master at v0.12.0rc1-127-gec8920a
++ - should address FTBFS due to failing tests on big endians
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 20 Jul 2013 09:23:04 -0400
++
++pandas (0.12.0~rc1+git112-gb79996c-1) experimental; urgency=low
++
++ * Fresh git snapshot of upstream candidate release. Experimental build
++ to verify functioning across the ports.
++ * debian/control
++ - dedented last "paragraph" to break it away from the 2nd one.
++ Thanks Beatrice Torracca for the detailed report (Closes: #712260)
++ - Depends on python-six now
++ * debian/{,tests/}control
++ - added python{,3}-bs4, python-html5lib to Build-Depends for more
++ thorough testing
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 18 Jul 2013 13:15:19 -0400
++
++pandas (0.11.0-2) unstable; urgency=low
++
++ [ Yaroslav Halchenko ]
++ * Upload to unstable -- this upstream release addressed Cython 0.19
++ compatibility issue (Closes: #710608)
++ * Recommends numexpr
++ * Re-cythonized using Cython 0.19
++
++ [ Dmitry Shachnev ]
++ * debian/tests/unittests3: use nosetests3 instead of nosetests-3.x.
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 03 Jun 2013 11:57:43 -0400
++
++pandas (0.11.0-1) experimental; urgency=low
++
++ * New upstream release
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 23 Apr 2013 22:40:15 -0400
++
++pandas (0.10.1-1) experimental; urgency=low
++
++ * New upstream release
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 22 Jan 2013 13:07:31 -0500
++
++pandas (0.10.0-1) experimental; urgency=low
++
++ * New upstream release
++ - drops python 2.5 support (we are dropping pyversions in favor of
++ X-Python-Version)
++ * debian/patches:
++ - all previous are in upstream now, dropped locally
++ - added -dsc-patch'es for systems without cython3
++ * debian/control:
++ - added python-statsmodels for the extended tests coverage
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 17 Dec 2012 12:27:25 -0500
++
++pandas (0.9.1-2) unstable; urgency=low
++
++ [ Julian Taylor ]
++ * Provide python3 packages
++ * Add autopkgtests
++ * debian/patches:
++ - relax-float-tests.patch:
++ replace float equality tests with almost equal
++ - fix-endian-tests.patch:
++ patch from upstream to fix the test failure on big endian machines
++
++ [ Yaroslav Halchenko ]
++ * Upload to unstable
++ * Dropping pysupport
++ * debian/rules:
++ - slight reduction of code duplication between python 2 and 3
++ - cythonize for both python 2 and 3 into separate directories
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 01 Dec 2012 22:57:47 -0500
++
++pandas (0.9.1-1) experimental; urgency=low
++
++ * New upstream release
++ * Boosted policy to 3.9.3 (no due changes)
++ * debian/rules
++ - Fixed up cleaning up of cythonized files
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 14 Nov 2012 09:44:14 -0500
++
++pandas (0.9.0-1) experimental; urgency=low
++
++ * New upstream release
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 07 Oct 2012 21:26:23 -0400
++
++pandas (0.9.0~rc2-1) experimental; urgency=low
++
++ * New upstream release candidate
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 21 Sep 2012 10:27:52 -0400
++
++pandas (0.8.1-1) unstable; urgency=low
++
++ * Primarily a bugfix upstream release.
++ * up_tag_yahoo_test_requiring_network patch removed.
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 22 Jul 2012 20:13:16 -0400
++
++pandas (0.8.0-2) unstable; urgency=medium
++
++ * up_tag_yahoo_test_requiring_network patch cherry-picked from upstream
++ GIT so that tests would not be excercised at package build time
++ (Closes: #681449)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 13 Jul 2012 08:54:41 -0400
++
++pandas (0.8.0-1) unstable; urgency=low
++
++ * Fresh upstream release
++ * debian/control
++ - drop python-statsmodels from Build-Depends since it might not be yet
++ available on some architectures and is not critical for the test
++ - recommend python-statsmodels instead of deprecated
++ python-scikits.statsmodels
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 29 Jun 2012 13:02:28 -0400
++
++pandas (0.8.0~rc2+git26-g76c6351-1) experimental; urgency=low
++
++ * Fresh upstream release candidate
++ - all patches dropped (upstreamed)
++ - requires numpy >= 1.6
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 12 Jun 2012 13:23:27 -0400
++
++pandas (0.7.3-1) unstable; urgency=low
++
++ * Fresh upstream release
++ - few post-release patches (submitted upstream) to exclude unittests
++ requiring network access
++ * debian/control:
++ - python-openpyxl, python-xlwt, python-xlrd into Build-Depends
++ and Recommends
++ * debian/rules:
++ - exclude running tests marked with @network
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 12 Apr 2012 11:27:31 -0400
++
++pandas (0.7.1+git1-ga2e86c2-1) unstable; urgency=low
++
++ * New upstream release with a bugfix which followed
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 01 Mar 2012 22:28:10 -0500
++
++pandas (0.7.0-1) unstable; urgency=low
++
++ * New upstream release
++ * Updated pre-cythoned .c files for older Debian/Ubuntu releases.
++ Added a stamp file with upstream version to assure up-to-dateness
++ of the generated files
++ * Dropped all exclusions of unittests and patches -- shouldn't be necessary
++ any longer
++ * Build only for requested versions (not all supported) of Python
++ * Do nothing for build operation, rely on overloaded install
++ (to avoid undesired re-cythonization on elderly Ubuntus)
++ * Adjusted url in watch due to migration of repository under pydata
++ organization
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 16 Jan 2012 19:31:50 -0500
++
++pandas (0.6.1-1) UNRELEASED; urgency=low
++
++ * New upstream release
++ * python-tk into Build-Depends
++ * Create matplotlibrc with backend: Agg to allow tests run without $DISPLAY
++ * Carry pre-cythonized .c files for systems with older Cython
++ * Skip few tests known to fail
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 13 Dec 2011 18:36:11 -0500
++
++pandas (0.5.0+git7-gcf32be2-1) unstable; urgency=low
++
++ * New upstream release with post-release fixes
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 01 Nov 2011 21:15:06 -0400
++
++pandas (0.4.3-1) unstable; urgency=low
++
++ * New upstream release(s): primarily bugfixes and optimizations but also
++ with some minor API changes and new functionality
++ * Adjusted debian/watch to match new layout on github
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 18 Oct 2011 11:27:50 -0400
++
++pandas (0.4.1-1) unstable; urgency=low
++
++ * New upstream bugfix release
++ - incorporated all debian/patches
++ * debian/rules: 'clean' removes generated pandas/version.py
++ * debian/copyright: adjusted to become DEP-5 compliant
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 25 Sep 2011 21:48:30 -0400
++
++pandas (0.4.0-1) unstable; urgency=low
++
++ * Initial Debian release (Closes: #641464)
++
++ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 13 Sep 2011 12:24:05 -0400
--- /dev/null
--- /dev/null
++Current to 0.25.3 (generated by git shortlog -ns)
++There may be multiple entries for the same person if they have used more than one (form of their) name
++https://github.com/pandas-dev/pandas/graphs/contributors
++
++Upstream
++ 3129 Wes McKinney
++ 3043 jreback
++ 1685 Jeff Reback
++ 943 y-p
++ 906 Joris Van den Bossche
++ 630 Chang She
++ 628 jbrockmendel
++ 607 Phillip Cloud
++ 569 Tom Augspurger
++ 437 gfyoung
++ 344 sinhrks
++ 327 Adam Klein
++ 218 Matthew Roeschke
++ 160 Andy Hayden
++ 148 topper-123
++ 146 William Ayd
++ 128 Jeff Tratner
++ 124 Simon Hawkins
++ 122 Jeffrey Tratner
++ 118 Marc Garcia
++ 109 Vytautas Jancauskas
++ 91 Pietro Battiston
++ 89 Skipper Seabold
++ 84 Stephan Hoyer
++ 81 h-vetinari
++ 75 Wouter Overmeire
++ 70 jschendel
++ 65 Sinhrks
++ 64 Jeremy Schendel
++ 61 TomAugspurger
++ 58 MeeseeksMachine
++ 58 Mortada Mehyar
++ 55 Chris
++ 54 Thomas Kluyver
++ 54 behzad nouri
++ 53 Kevin Sheppard
++ 51 Christopher Whelan
++ 49 Ka Wo Chen
++ 43 Kieran O'Mahony
++ 42 Dieter Vandenbussche
++ 38 Paul Reidy
++ 38 alimcmaster1
++ 33 Evan Wright
++ 33 chris-b1
++ 32 bwignall
++ 31 Jan Schulz
++ 29 Yaroslav Halchenko
++ 29 immerrr
++ 28 David Stephens
++ 27 Mak Sze Chun
++ 26 Gábor Lipták
++ 25 Stephen Lin
++ 25 Thein Oo
++ 25 rockg
++ 23 Fabian Haase
++ 23 Justin Zheng
++ 22 Licht Takeuchi
++ 22 Ming Li
++ 21 Thierry Moisan
++ 20 Dan Birken
++ 20 lexual
++ 19 Abraham Flaxman
++ 19 Artemy Kolchinsky
++ 19 DSM
++ 18 Kerby Shedden
++ 18 unutbu
++ 17 Anthonios Partheniou
++ 17 Nicolas Bonnotte
++ 16 Matt Roeschke
++ 16 Saurav Chakravorty
++ 16 danielballan
++ 16 onesandzeroes
++ 15 Kaiqi Dong
++ 15 Tobias Brandt
++ 15 seth-p
++ 14 Christopher C. Aycock
++ 14 Dr. Irv
++ 14 Gregory Rome
++ 14 Maximilian Roos
++ 14 Roy Hyunjin Han
++ 14 Spencer Lyon
++ 14 locojaydev
++ 13 Alex Rothberg
++ 13 Daniel Saxton
++ 13 John W. O'Brien
++ 13 Jonathan Chambers
++ 13 Todd Jennings
++ 13 pilkibun
++ 12 Abdullah İhsan Seçer
++ 12 Alex Rychyk
++ 12 Luca Beltrame
++ 12 PKEuS
++ 12 Richard T. Guy
++ 12 Tommy
++ 11 Andrew Rosenfeld
++ 11 Daniel Himmelstein
++ 11 Joe Jevnik
++ 11 Keith Hughitt
++ 11 Vaibhav Vishal
++ 11 Wenhuan
++ 11 anmyachev
++ 11 terrytangyuan
++ 10 Aaron Critchley
++ 10 Alexander Ponomaroff
++ 10 Anjali2019
++ 10 Dale Jung
++ 10 Garrett Drapala
++ 10 John McNamara
++ 10 K.-Michael Aye
++ 10 Martin Blais
++ 10 Nick Eubank
++ 10 Sam Foo
++ 10 cbertinato
++ 9 Damien Garaud
++ 9 Guillaume Gay
++ 9 Jacob Schaer
++ 9 Kendall Masse
++ 9 Ryan Nazareth
++ 9 Tong SHEN
++ 9 Viktor Kerkez
++ 8 Aly Sivji
++ 8 Brandon Bradley
++ 8 Dr-Irv
++ 8 Kalyan Gokhale
++ 8 Mike Kelly
++ 8 Shawn Heide
++ 8 Tim Swast
++ 8 Varun
++ 8 Vasily Litvinov
++ 8 himanshu awasthi
++ 8 jnmclarty
++ 7 Benedikt Sauer
++ 7 Dan Allan
++ 7 Francis T. O'Donovan
++ 7 Jason Sexauer
++ 7 Kernc
++ 7 Michael Mueller
++ 7 Takafumi Arakaki
++ 7 Winterflower
++ 7 Younggun Kim
++ 7 dsm054
++ 7 nipunreddevil
++ 7 scls19fr
++ 6 Adam J. Stewart
++ 6 Albert Villanova del Moral
++ 6 ArtinSarraf
++ 6 Benjamin Rowell
++ 6 Brad Buran
++ 6 Bran Yang
++ 6 Chris Whelan
++ 6 David Bew
++ 6 Garrett-R
++ 6 Graham Inggs
++ 6 Jeff Carey
++ 6 Joel Nothman
++ 6 Kelsey Jordahl
++ 6 Mateusz Woś
++ 6 Matt Kirk
++ 6 Neil Parley
++ 6 Nicholaus E. Halecky
++ 6 Piotr Jucha
++ 6 Rouz Azari
++ 6 Stephen Hoover
++ 6 Steve
++ 6 Thomas A Caswell
++ 6 Thomas Grainger
++ 6 Uddeshya Singh
++ 6 Vincent Arel-Bundock
++ 6 Wes Turner
++ 6 ZhuBaohe
++ 6 agijsberts
++ 6 agraboso
++ 6 ajcr
++ 6 clham
++ 6 ischwabacher
++ 6 timmie
++ 6 tmnhat2001
++ 5 Adam Obeng
++ 5 Ajay Saxena
++ 5 Alan Velasco
++ 5 Andrew
++ 5 Ben Kandel
++ 5 Bharat Raghunathan
++ 5 Chapman Siu
++ 5 Chuanzhu Xu
++ 5 Clark Fitzgerald
++ 5 DataOmbudsman
++ 5 David Cottrell
++ 5 Douglas McNeil
++ 5 Gjelt
++ 5 Janelle Zoutkamp
++ 5 Jon Mease
++ 5 Joris Vankerschaver
++ 5 Josh
++ 5 Ksenia
++ 5 Lars Buitinck
++ 5 LeakedMemory
++ 5 Marc Abramowitz
++ 5 Mark Wiebe
++ 5 Matti Picus
++ 5 Nicholas Musolino
++ 5 Pauli Virtanen
++ 5 Prabakaran Kumaresshan
++ 5 Sangwoong Yoon
++ 5 Scott E Lasley
++ 5 Tao He
++ 5 Tarbo Fukazawa
++ 5 Ted Petrou
++ 5 Tomaz Berisa
++ 5 TrigonaMinima
++ 5 Troels Nielsen
++ 5 Yuichiro Kaneko
++ 5 benjamin
++ 5 dieterv77
++ 5 donK23
++ 5 realead
++ 5 tshauck
++ 5 yui-knk
++ 4 Adam Greenhall
++ 4 Addison Lynch
++ 4 Alvaro Tejero-Cantero
++ 4 Andreas Würl
++ 4 Armin Varshokar
++ 4 Avi Sen
++ 4 Benjamin Thyreau
++ 4 Bob Haffner
++ 4 Brenda Moon
++ 4 Chalmer Lowe
++ 4 Cheuk Ting Ho
++ 4 Chris Billington
++ 4 Chris Warth
++ 4 Christian Hudon
++ 4 Clemens Brunner
++ 4 DaanVanHauwermeiren
++ 4 Dan Miller
++ 4 Daniel Waeber
++ 4 David Adrián Cañones Castellano
++ 4 Dražen Lučanin
++ 4 Erik
++ 4 Gianluca Rossi
++ 4 Giftlin Rajaiah
++ 4 Goyo
++ 4 Gregg Lind
++ 4 Guilherme Beltramini
++ 4 Henning Sperr
++ 4 Jacques Kvam
++ 4 James Myatt
++ 4 JennaVergeynst
++ 4 Jev Kuznetsov
++ 4 Jim Crist
++ 4 John Zwinck
++ 4 Junya Hayashi
++ 4 Kevin Stone
++ 4 Krishna
++ 4 Kyle Meyer
++ 4 Loïc Estève
++ 4 Matias Heikkilä
++ 4 Matt Wittmann
++ 4 Matthew Gilbert
++ 4 Max van Deursen
++ 4 Nicholas Ver Halen
++ 4 OXPHOS
++ 4 Olivier Grisel
++ 4 Paul Ivanov
++ 4 Robert Gieseke
++ 4 Roger Thomas
++ 4 Shane Conway
++ 4 Shivam Rana
++ 4 Stephen Rauch
++ 4 Trent Hauck
++ 4 Vincent La
++ 4 Vladimir Filimonov
++ 4 Vyomkesh Tripathi
++ 4 WANG Aiyong
++ 4 akosel
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++ 4 gliptak
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++ 4 wcwagner
++ 3 Adam Hooper
++ 3 Aleksey Bilogur
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++ 3 Alexander Buchkovsky
++ 3 Alfonso MHC
++ 3 Andreas Winkler
++ 3 Angelos Evripiotis
++ 3 Anjana S
++ 3 Anton I. Sipos
++ 3 Baurzhan Muftakhidinov
++ 3 Ben Welsh
++ 3 Brandon M. Burroughs
++ 3 Brett Naul
++ 3 Brock Mendel
++ 3 Caleb Epstein
++ 3 Carlos Souza
++ 3 Chris Bertinato
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++ 3 David Krych
++ 3 Dillon Niederhut
++ 3 Doug Latornell
++ 3 Eric Chea
++ 3 Francesc Via
++ 3 Giacomo Ferroni
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++ 3 Hugues Valois
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++ 3 Joel Ostblom
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++ 3 Kyle Barron
++ 3 Liam3851
++ 3 Markus Meier
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++ 3 Matthew Brett
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++ 3 Noam Hershtig
++ 3 Pamela Wu
++ 3 Patrick O'Brien
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++ 3 Safia Abdalla
++ 3 Sahil Dua
++ 3 Samuel Sinayoko
++ 3 Sebastian Bank
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++ 3 Stefania Delprete
++ 3 Stefano Cianciulli
++ 3 Stijn Van Hoey
++ 3 Thijs Damsma
++ 3 Tjerk Santegoeds
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++ 3 Tom Bird
++ 3 Yian
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++ 3 Zac Hatfield-Dodds
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++ 2 DanielFEvans
++ 2 Data & Code Expert Experimenting with Code on Data
++ 2 Dave Hirschfeld
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++ 2 Eduardo Schettino
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++ 2 Elliott Sales de Andrade
++ 2 Eric Chlebek
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++ 2 Guillaume Horel
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++ 2 Ilya V. Schurov
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++ 2 Jacopo Rota
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++ 2 Jaume Bonet
++ 2 Javad Noorbakhsh
++ 2 Jay Parlar
++ 2 Jeff Knupp
++ 2 Jeff Mellen
++ 2 Jeffrey Gerard
++ 2 Jiang Yue
++ 2 Jing Qiang Goh
++ 2 Joe Bradish
++ 2 John David Reaver
++ 2 John Liekezer
++ 2 John-Colvin
++ 2 Jon M. Mease
++ 2 Jonas Abernot
++ 2 Jonathan deWerd
++ 2 Jordi Contestí
++ 2 Jose Quinones
++ 2 Juarez Bochi
++ 2 Julia Evans
++ 2 Julien Danjou
++ 2 Justin Bozonier
++ 2 Justin Lecher
++ 2 KOBAYASHI Ittoku
++ 2 Kamil Kisiel
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++ 2 Kara de la Marck
++ 2 Koustav Samaddar
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++ 2 Luca Scarabello
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++ 2 Manan Pal Singh
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++ 2 Marco Hemken
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++ 2 Matt Maybeno
++ 2 Maxim Veksler
++ 2 Michael
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++ 2 Michael Odintsov
++ 2 Michael Penkov
++ 2 Michael Schatzow
++ 2 Michael W Schatzow
++ 2 Min RK
++ 2 Mitch Negus
++ 2 Monson Shao
++ 2 Nathalie Rud
++ 2 Nathan Pinger
++ 2 Naveen Michaud-Agrawal
++ 2 Nick Chmura
++ 2 Nicolas Dickreuter
++ 2 Nikhil Kumar Mengani
++ 2 Nipun Batra
++ 2 Oleg Shteynbuk
++ 2 Ondrej Kokes
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++ 2 Patrick O'Keeffe
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++ 2 Pierre Haessig
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++ 2 Ravi Kumar Nimmi
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++ 2 Simone Basso
++ 2 SleepingPills
++ 2 Soyoun(Rose) Kim
++ 2 Stefaan Lippens
++ 2 Stephen Childs
++ 2 Stephen Pascoe
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++ 2 Tiago Requeijo
++ 2 Tim D. Smith
++ 2 Tim Hoffmann
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++ 2 Tony Tao
++ 2 Travis N. Vaught
++ 2 Tushar Gupta
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++ 2 Vikram Bhandoh
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++ 1 Matthieu Brucher
++ 1 Matti Airas
++ 1 Max Bolingbroke
++ 1 Max Chang
++ 1 Max Grender-Jones
++ 1 Max Kanter
++ 1 Max Kovalovs
++ 1 Max Mikhaylov
++ 1 MaxU
++ 1 Mayank Asthana
++ 1 Mehmet Ali "Mali" Akmanalp
++ 1 Michael Davis
++ 1 Michael Droettboom
++ 1 Michael E. Gruen
++ 1 Michael Felt
++ 1 Michael Gasvoda
++ 1 Michael Lamparski
++ 1 Michael P. Moran
++ 1 Michael Röttger
++ 1 Michael Scherer
++ 1 Michael Selik
++ 1 Michael Silverstein
++ 1 Michael Waskom
++ 1 Michael-J-Ward
++ 1 Michelangelo D'Agostino
++ 1 Michiel Stock
++ 1 Mickaël Schoentgen
++ 1 Mie~~~
++ 1 Miguel Sánchez de León Peque
++ 1 Mike Cramblett
++ 1 Mike Graham
++ 1 Mike Kutzma
++ 1 Mikolaj Chwalisz
++ 1 Milo
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++ 1 Muhammad Haseeb Tariq
++ 1 Mukul Ashwath Ram
++ 1 MusTheDataGuy
++ 1 Mykola Golubyev
++ 1 Nanda H Krishna
++ 1 Nate George
++ 1 Nathan Ford
++ 1 Nathan Sanders
++ 1 Nathan Typanski
++ 1 Navreet Gill
++ 1 Nehil Jain
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++ 1 Nicholas Ursa
++ 1 Nick Burns
++ 1 Nick Foti
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++ 1 Nikoleta Glynatsi
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++ 1 Nipun Sadvilkar
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++ 1 Olivier Harris
++ 1 Onno Eberhard
++ 1 P-Tillmann
++ 1 Pablo Ambrosio
++ 1 Pan Deng / Zora
++ 1 Parfait G
++ 1 Pastafarianist
++ 1 Patrick Luo
++ 1 Patrick O'Melveny
++ 1 Patrick Park
++ 1 Paul Mannino
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++ 1 Paulo Roberto de Oliveira Castro
++ 1 Pav A
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++ 1 Peter
++ 1 Peter Csizsek
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++ 1 Peter Waller
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++ 1 RahulHP
++ 1 Ralph Bean
++ 1 Ray Bell
++ 1 Redonnet Louis
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++ 1 Ridhwan Luthra
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++ 1 Rob deCarvalho
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++ 1 Robin Kiplang'at
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++ 1 Roei.r
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++ 1 Rok Mihevc
++ 1 RomainSa
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++ 1 Ross Petchler
++ 1 Roy Keyes
++ 1 Rupert Thompson
++ 1 Russell Smith
++ 1 Ryan Hendrickson
++ 1 Ryan Joyce
++ 1 Ryszard T. Kaleta
++ 1 Rémy Léone
++ 1 Rüdiger Busche
++ 1 SEUNG HOON, SHIN
++ 1 Sakar Panta
++ 1 Sam Cohan
++ 1 Sam Zhang
++ 1 Sami Salonen
++ 1 Samir Musali
++ 1 Samuel Denny
++ 1 Sandeep Pathak
++ 1 Sandrine Pataut
++ 1 Sanghee Kim
++ 1 Sangmin Park
++ 1 Sanjiv Lobo
++ 1 Santosh Kumar
++ 1 Sarah Bird
++ 1 SarahJessica
++ 1 Sarma Tangirala
++ 1 Saumitra Shahapure
++ 1 Schaer, Jacob C
++ 1 Scott Lasley
++ 1 Scott McAllister
++ 1 Scott Talbert
++ 1 Sean Chan
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++ 1 Senthil Palanisami
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++ 1 Sébastien de Menten
++ 1 Sören
++ 1 T N
++ 1 Taavi Burns
++ 1 Takuya N
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++ 1 surveymedia.ca
++ 1 svaksha
++ 1 syutbai
++ 1 tadeja
++ 1 tamuhey
++ 1 testvinder
++ 1 thauck
++ 1 the-nose-knows
++ 1 theandygross
++ 1 themrmax
++ 1 thuske
++ 1 tobycheese
++ 1 tom-alcorn
++ 1 tomascassidy
++ 1 tomrod
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++ 1 tworec
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++ 1 zhangjinjie
++ 1 zhezherun
++ 1 znmean
++ 1 zzgao
++ 1 Åsmund Hjulstad
++ 1 Øystein S. Haaland
++ 1 颜发才（Yan Facai）
++
++Debian packaging
++ 323 Yaroslav Halchenko
++ 73 Rebecca N. Palmer
++ 49 Mo Zhou
++ 25 Andreas Tille
++ 25 Graham Inggs
++ 4 Dmitry Shachnev
++ 2 Julian Taylor
++ 2 Yaroslav O Halchenko
++ 1 Diane Trout
++ 1 Ole Streicher
--- /dev/null
--- /dev/null
++Source: pandas
++Section: python
++Priority: optional
++Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
++Uploaders: Yaroslav Halchenko <debian@onerussian.com>,
++ Michael Hanke <michael.hanke@gmail.com>,
++ Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Build-Depends: debhelper-compat (= 13),
++ dh-python,
++ locales-all,
++ quilt,
++ python3-all-dev,
++ python3-setuptools,
++ cython3 (>= 0.29.13~),
++ python3-bs4 <!nocheck> <!nodoc>,
++ python3-dateutil,
++ python3-hypothesis <!nocheck> <!nodoc>,
++ python3-html5lib <!nocheck> <!nodoc>,
++ python3-lxml <!nocheck> <!nodoc>,
++ python3-matplotlib [!hurd-i386],
++ python3-nose <!nocheck> <!nodoc>,
++ python3-numpy,
++ python3-openpyxl <!nocheck> <!nodoc>,
++ python3-pytest (>= 4.0.2~) <!nocheck> <!nodoc>,
++ python3-pytest-xdist <!nocheck> <!nodoc>,
++ python3-pytest-forked <!nocheck> <!nodoc>,
++ python3-scipy,
++ python3-six,
++ python3-tables (>= 3.4.2~) [!m68k !sh4 !x32] <!nocheck> <!nodoc>,
++ python3-tk <!nocheck> <!nodoc>,
++ python3-tz <!nocheck> <!nodoc>,
++ python3-xlsxwriter <!nocheck> <!nodoc>,
++ python3-xlrd <!nocheck> <!nodoc>,
++ python3-xlwt <!nocheck> <!nodoc>,
++ xvfb <!nocheck>,
++ xauth <!nocheck>,
++ xclip <!nocheck>,
++Build-Depends-Indep:
++ python3-sphinx <!nodoc>,
++ python3-nbsphinx <!nodoc>,
++ python3-ipykernel <!nodoc>,
++ python3-numpydoc <!nodoc>,
++ python3-nbconvert (>= 5.4.1~) <!nodoc>,
++ ipython3 <!nodoc>,
++ jdupes <!nodoc>,
++# for style.ipynb
++ pandoc <!nodoc>,
++# for intersphinx inventories
++ python3-doc <!nodoc>,
++ python-numpy-doc <!nodoc>,
++ python-scipy-doc <!nodoc>,
++ python-matplotlib-doc <!nodoc>,
++ python-statsmodels-doc <!nodoc>,
++# these are for not having (as many) exception messages in documentation examples
++# so may be temporarily removed if they are broken or to break bootstrap cycles
++# not in Debian (not to be confused with python3-arrow) python3-pyarrow <!nodoc>,
++ python3-rpy2 <!nodoc>,
++ python3-sqlalchemy <!nodoc>,
++ python3-statsmodels <!nodoc>,
++ python3-xarray <!nodoc>,
++ python3-ipywidgets <!nodoc>,
++ python3-seaborn <!nodoc>
++Standards-Version: 4.5.0
++Rules-Requires-Root: no
++Homepage: https://pandas.pydata.org/
++Vcs-Browser: https://salsa.debian.org/science-team/pandas
++Vcs-Git: https://salsa.debian.org/science-team/pandas.git
++
++Package: python3-pandas
++Architecture: all
++Depends: ${misc:Depends}, ${python3:Depends},
++ python3-numpy (>= 1:1.15~),
++ python3-dateutil,
++ python3-pandas-lib(>= ${source:Version}),
++ python3-pkg-resources,
++ python3-six,
++Recommends: python3-scipy,
++ python3-matplotlib,
++ python3-numexpr,
++ python3-tables,
++ python3-tz,
++ python3-xlrd,
++ python3-openpyxl, python3-xlwt,
++ python3-bs4,
++ python3-html5lib,
++ python3-lxml,
++Suggests: python-pandas-doc,
++ python3-statsmodels
++# 0.23 -> 0.25 API breaks, #931557 - assumes the not-yet-fixed ones are fixed on next upload, but is better than nothing
++Breaks: cnvkit (<< 0.9.6-1.1),
++ python3-feather-format (<< 0.3.1+dfsg1-2.1),
++ python3-skbio (<< 0.5.5-2.1),
++ python3-statsmodels (<< 0.10.0~),
++ q2-types (<< 2019.7.0-1.1)
++Description: data structures for "relational" or "labeled" data
++ pandas is a Python package providing fast, flexible, and expressive
++ data structures designed to make working with "relational" or
++ "labeled" data both easy and intuitive. It aims to be the fundamental
++ high-level building block for doing practical, real world data
++ analysis in Python. pandas is well suited for many different kinds of
++ data:
++ .
++ - Tabular data with heterogeneously-typed columns, as in an SQL
++ table or Excel spreadsheet
++ - Ordered and unordered (not necessarily fixed-frequency) time
++ series data.
++ - Arbitrary matrix data (homogeneously typed or heterogeneous) with
++ row and column labels
++ - Any other form of observational / statistical data sets. The data
++ actually need not be labeled at all to be placed into a pandas
++ data structure
++ .
++ This package contains the Python 3 version.
++
++Package: python-pandas-doc
++Architecture: all
++Section: doc
++Depends: ${misc:Depends},
++ libjs-jquery,
++ libjs-requirejs,
++ libjs-underscore,
++ libjs-mathjax
++Suggests: python3-pandas
++Description: data structures for "relational" or "labeled" data - documentation
++ pandas is a Python package providing fast, flexible, and expressive
++ data structures designed to make working with "relational" or
++ "labeled" data both easy and intuitive. It aims to be the fundamental
++ high-level building block for doing practical, real world data
++ analysis in Python. pandas is well suited for many different kinds of
++ data:
++ .
++ - Tabular data with heterogeneously-typed columns, as in an SQL
++ table or Excel spreadsheet
++ - Ordered and unordered (not necessarily fixed-frequency) time
++ series data.
++ - Arbitrary matrix data (homogeneously typed or heterogeneous) with
++ row and column labels
++ - Any other form of observational / statistical data sets. The data
++ actually need not be labeled at all to be placed into a pandas
++ data structure
++ .
++ This package contains the documentation.
++
++Package: python3-pandas-lib
++Architecture: any
++Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}, python3-numpy (>=1:1.15~)
++Description: low-level implementations and bindings for pandas
++ This is a low-level package for python3-pandas providing
++ architecture-dependent extensions.
++ .
++ Users should not need to install it directly.
--- /dev/null
--- /dev/null
++Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
++Upstream-Name: pandas
++Upstream-Contact: pandas-dev@python.org
++Source: https://github.com/pandas-dev/pandas
++Files-Excluded: pandas/tests/io/data/computer_sales_page.html
++ pandas/tests/io/data/macau.html
++ pandas/tests/io/data/nyse_wsj.html
++ scripts/find_commits_touching_func.py
++ scripts/merge-pr.py
++ doc/source/user_guide/cookbook.rst
++Comment: tests/* fixed upstream in 1.1, cookbook has around 100 Stack Overflow snippets (CC-BY-SA with possibly inadequate attribution)
++
++Files: *
++Copyright: 2008-2011 AQR Capital Management, LLC
++ 2011 Wes McKinney and pandas developers
++ 2011-2019 Lambda Foundry, Inc. and PyData Development Team
++License: BSD-3
++Comment: The original source contains some CC-BY-SA snippets by Stack Overflow users (https://stackoverflow.com/users/1114/jeremy-banks, https://stackoverflow.com/users/387251/oliver, https://stackoverflow.com/users/3297752/noah-motion, https://stackoverflow.com/users/925671/bill, https://stackoverflow.com/users/1082349/foobar, https://stackoverflow.com/users/3089209/crantila, https://stackoverflow.com/users/2375855/ojdo, https://stackoverflow.com/users/487339/dsm, https://stackoverflow.com/users/2677943/swenzel, https://stackoverflow.com/users/2262529/midfield), but these may be too small to be copyrightable, and the less trivial ones are patched out in this package
++
++Files: pandas/_libs/tslibs/src/datetime/*
++Copyright: 2005-2013, NumPy Developers
++License: BSD-3
++Origin: numpy
++Comment: Listed as derived from Numpy 1.7
++
++Files: pandas/_libs/skiplist.pyx
++ pandas/_libs/src/skiplist.h
++Copyright: 2009, Raymond Hettinger
++ 2011-2019 Wes McKinney and PyData Development Team
++License: Expat and BSD-3
++Origin: http://code.activestate.com/recipes/576930/
++Comment: it is a Cython code "inspired" by the original Python code by Raymond
++
++Files: pandas/_libs/src/headers/ms_*
++Copyright: 2006-2008 Alexander Chemeris
++License: BSD-3
++
++Files: pandas/_libs/src/klib/*
++Copyright: 2008, 2009, 2011 by Attractive Chaos <attractor@live.co.uk>
++License: Expat
++
++Files: pandas/_libs/src/msgpack/*
++Copyright: 2008-2011 FURUHASHI Sadayuki and Naoki INADA
++License: Apache
++
++Files: pandas/_libs/src/parser/tokenizer.*
++Copyright: 2002 Michael Ringgaard
++ 2011-2012 Warren Weckesser
++ 2001-2012 Python Software Foundation and Python contributors
++ 2012-2019 Lambda Foundry, Inc. and PyData Development Team
++License: Python and BSD-3
++Origin: csv (Python standard library), github.com/WarrenWeckesser/textreader
++
++Files: pandas/_libs/src/ujson/*
++Copyright: 1988-1993 The Regents of the University of California
++ 1994 Sun Microsystems, Inc.
++ 2007 Nick Galbreath
++ 2011-2013 ESN Social Software AB and Jonas Tarnstrom
++ 2012-2019 Lambda Foundry, Inc. and PyData Development Team
++License: BSD-3 and Expat
++Origin: ultrajson
++
++Files: pandas/compat/*
++Copyright: 2010-2013 Benjamin Peterson
++ 2012-2019 Lambda Foundry, Inc. and PyData Development Team
++License: Expat and BSD-3
++Origin: six
++
++Files: pandas/core/window.py
++Copyright: 2010-2012 Archipel Asset Management AB
++ 2011-2019 Lambda Foundry, Inc. and PyData Development Team
++License: BSD-3
++Comment: unclear if actual copying from bottleneck has taken place; assuming it has to be safe. Original was BSD-2, but BSD-2 and BSD-3 = BSD-3
++
++Files: pandas/io/packers.py
++ pandas/tests/io/test_packers.py
++Copyright: 2013 Lev Givon
++ 2013-2019 Lambda Foundry, Inc. and PyData Development Team
++License: BSD-3
++
++Files: pandas/io/sas/sas7bdat.py
++Copyright: 2015 Jared Hobbs
++ 2016-2018 Lambda Foundry, Inc. and PyData Development Team
++Origin: https://bitbucket.org/jaredhobbs/sas7bdat
++License: Expat
++
++Files: pandas/io/clipboard/*
++Copyright: 2010-2017 Albert Sweigart and Pyperclip contributors
++ 2016-2019 Lambda Foundry, Inc. and PyData Development Team
++License: BSD-3
++Origin: Pyperclip
++
++Files: pandas/tests/io/data/banklist.html
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++ Commons" or any related trademark or logo of Creative Commons without the prior written consent
++ of Creative Commons. Any permitted use will be in compliance with Creative Commons' then-current
++ trademark usage guidelines, as may be published on its website or otherwise made available upon
++ request from time to time. For the avoidance of doubt, this trademark restriction does not form part
++ of the License.
++ .
++ Creative Commons may be contacted at http://creativecommons.org/.
--- /dev/null
--- /dev/null
++[DEFAULT]
++# the default branch for upstream sources:
++upstream-branch = master
++# the default branch for the debian patch:
++debian-branch = debian
++# the default tag formats used:
++upstream-tag = v%(version)s
++debian-tag = debian/%(version)s
++
++
--- /dev/null
--- /dev/null
++reverted:
++--- a/pandas/tests/computation/test_eval.py
+++++ b/pandas/tests/computation/test_eval.py
++@@ -38,14 +38,13 @@ _scalar_skip = 'in', 'not in'
++
++
++ @pytest.fixture(params=(
++- pytest.param(engine,
++- marks=pytest.mark.skipif(
++- engine == 'numexpr' and not _USE_NUMEXPR,
++- reason='numexpr enabled->{enabled}, '
++- 'installed->{installed}'.format(
++- enabled=_USE_NUMEXPR,
++- installed=_NUMEXPR_INSTALLED)))
++- for engine in _engines)) # noqa
+++ pytest.mark.skipif(engine == 'numexpr' and not _USE_NUMEXPR,
+++ reason='numexpr enabled->{enabled}, '
+++ 'installed->{installed}'.format(
+++ enabled=_USE_NUMEXPR,
+++ installed=_NUMEXPR_INSTALLED))(engine)
+++ for engine in _engines # noqa
+++))
++ def engine(request):
++ return request.param
++
++--- a/pandas/tests/io/parser/test_network.py
+++++ b/pandas/tests/io/parser/test_network.py
++@@ -16,10 +16,8 @@ from pandas.compat import BytesIO
++ @pytest.mark.parametrize(
++ "compression,extension",
++ [('gzip', '.gz'), ('bz2', '.bz2'), ('zip', '.zip'),
++- pytest.param('xz', '.xz',
++- marks=pytest.mark.skipif(not tm._check_if_lzma(),
++- reason='need backports.lzma '
++- 'to run'))])
+++ pytest.mark.skipif(not tm._check_if_lzma(),
+++ reason='need backports.lzma to run')(('xz', '.xz'))])
++ @pytest.mark.parametrize('mode', ['explicit', 'infer'])
++ @pytest.mark.parametrize('engine', ['python', 'c'])
++ def test_compressed_urls(salaries_table, compression, extension, mode, engine):
++--- a/pandas/tests/io/test_excel.py
+++++ b/pandas/tests/io/test_excel.py
++@@ -2426,10 +2426,8 @@ class TestExcelWriterEngineTests(object)
++
++
++ @pytest.mark.parametrize('engine', [
++- pytest.param('xlwt',
++- marks=pytest.mark.xfail(reason='xlwt does not support '
++- 'openpyxl-compatible '
++- 'style dicts')),
+++ pytest.mark.xfail('xlwt', reason='xlwt does not support '
+++ 'openpyxl-compatible style dicts'),
++ 'xlsxwriter',
++ 'openpyxl',
++ ])
++--- a/pandas/tests/io/test_parquet.py
+++++ b/pandas/tests/io/test_parquet.py
++@@ -27,14 +27,10 @@ except ImportError:
++
++ # setup engines & skips
++ @pytest.fixture(params=[
++- pytest.param('fastparquet',
++- marks=pytest.mark.skipif(not _HAVE_FASTPARQUET,
++- reason='fastparquet is '
++- 'not installed')),
++- pytest.param('pyarrow',
++- marks=pytest.mark.skipif(not _HAVE_PYARROW,
++- reason='pyarrow is '
++- 'not installed'))])
+++ pytest.mark.skipif(not _HAVE_FASTPARQUET,
+++ reason='fastparquet is not installed')('fastparquet'),
+++ pytest.mark.skipif(not _HAVE_PYARROW,
+++ reason='pyarrow is not installed')('pyarrow')])
++ def engine(request):
++ return request.param
++
++--- a/pandas/tests/test_window.py
+++++ b/pandas/tests/test_window.py
++@@ -552,9 +552,8 @@ class TestExpanding(Base):
++
++ @pytest.mark.parametrize(
++ 'expander',
++- [1, pytest.param('ls', marks=pytest.mark.xfail(
++- reason='GH 16425 expanding with '
++- 'offset not supported'))])
+++ [1, pytest.mark.xfail(
+++ reason='GH 16425 expanding with offset not supported')('1s')])
++ def test_empty_df_expanding(self, expander):
++ # GH 15819 Verifies that datetime and integer expanding windows can be
++ # applied to empty DataFrames
--- /dev/null
--- /dev/null
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/858260
++Last-Update: Sat, 1 Apr 2017 23:21:31 +0100
++Description: Use tiinfo correctly
++ The underlying issue (but not strictly a bug as the documentation
++ specifically says not to do that -
++ http://sources.debian.net/src/python-tz/2016.7-0.2/pytz/tzinfo.py/#L247
++ ) is that passing a pytz tzinfo to the datetime constructor uses its
++ first listed offset, not its correct offset for that date:
++ .
++ >>> datetime.datetime(2017,4,1,tzinfo=pytz.timezone('Europe/London'))
++ datetime.datetime(2017, 4, 1, 0, 0, tzinfo=<DstTzInfo 'Europe/London'
++ GMT0:00:00 STD>)
++ >>> pytz.timezone('Europe/London').localize(datetime.datetime(2017,4,1))
++ datetime.datetime(2017, 4, 1, 0, 0, tzinfo=<DstTzInfo 'Europe/London'
++ BST+1:00:00 DST>)
++
++--- a/pandas/tests/test_multilevel.py
+++++ b/pandas/tests/test_multilevel.py
++@@ -84,9 +84,9 @@ class TestMultiLevel(tm.TestCase):
++ # GH 7112
++ import pytz
++ tz = pytz.timezone('Asia/Tokyo')
++- expected_tuples = [(1.1, datetime.datetime(2011, 1, 1, tzinfo=tz)),
++- (1.2, datetime.datetime(2011, 1, 2, tzinfo=tz)),
++- (1.3, datetime.datetime(2011, 1, 3, tzinfo=tz))]
+++ expected_tuples = [(1.1, tz.localize(datetime.datetime(2011, 1, 1))),
+++ (1.2, tz.localize(datetime.datetime(2011, 1, 2))),
+++ (1.3, tz.localize(datetime.datetime(2011, 1, 3)))]
++ expected = Index([1.1, 1.2, 1.3] + expected_tuples)
++ self.assert_index_equal(result, expected)
++
++@@ -104,9 +104,9 @@ class TestMultiLevel(tm.TestCase):
++
++ result = midx_lv3.append(midx_lv2)
++ expected = Index._simple_new(
++- np.array([(1.1, datetime.datetime(2011, 1, 1, tzinfo=tz), 'A'),
++- (1.2, datetime.datetime(2011, 1, 2, tzinfo=tz), 'B'),
++- (1.3, datetime.datetime(2011, 1, 3, tzinfo=tz), 'C')] +
+++ np.array([(1.1, tz.localize(datetime.datetime(2011, 1, 1)), 'A'),
+++ (1.2, tz.localize(datetime.datetime(2011, 1, 2)), 'B'),
+++ (1.3, tz.localize(datetime.datetime(2011, 1, 3)), 'C')] +
++ expected_tuples), None)
++ self.assert_index_equal(result, expected)
++
--- /dev/null
--- /dev/null
++Description: Don't fail test for rounding difference on i386
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/968208
++Forwarded: no
++
++--- pandas-0.25.3+dfsg2.orig/pandas/tests/window/test_moments.py
+++++ pandas-0.25.3+dfsg2/pandas/tests/window/test_moments.py
++@@ -1,6 +1,9 @@
++ import copy
++ from datetime import datetime
++ import warnings
+++import sys
+++import platform
+++import re
++
++ import numpy as np
++ from numpy.random import randn
++@@ -606,7 +609,9 @@ class TestMoments(Base):
++ if np.isnan(q1):
++ assert np.isnan(q2)
++ else:
++- assert q1 == q2
+++ assert np.abs(q1-q2)<1e-15
+++ if not (re.match('i.?86|x86',platform.uname()[4]) and sys.maxsize<2**33):
+++ assert q1 == q2
++
++ def test_invalid_quantile_value(self):
++ data = np.arange(5)
--- /dev/null
--- /dev/null
++Description: Don't try to read a contributor list from the git log
++
++Debian packages are built from tarballs, so there isn't a git log.
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- pandas-0.25.2+dfsg.orig/doc/sphinxext/contributors.py
+++++ pandas-0.25.2+dfsg/doc/sphinxext/contributors.py
++@@ -10,9 +10,6 @@ individually.
++ """
++ from docutils import nodes
++ from docutils.parsers.rst import Directive
++-import git
++-
++-from announce import build_components
++
++
++ class ContributorsDirective(Directive):
++@@ -20,6 +17,7 @@ class ContributorsDirective(Directive):
++ name = "contributors"
++
++ def run(self):
+++ return [nodes.paragraph(), nodes.Text("For contributors, please see /usr/share/doc/contributors_list.txt or https://github.com/pandas-dev/pandas/graphs/contributors")]
++ range_ = self.arguments[0]
++ if range_.endswith("x..HEAD"):
++ return [nodes.paragraph(), nodes.bullet_list()]
--- /dev/null
--- /dev/null
++Author: Yaroslav Halchenko <debian@onerussian.com>
++ Andreas Tille <tille@debian.org>
++Last-Update: Mon, 23 Oct 2017 08:55:28 +0200
++Description: Avoid privacy breach by Google Analytics
++
++--- a/pandas/tests/io/data/spam.html
+++++ b/pandas/tests/io/data/spam.html
++@@ -27,45 +27,9 @@
++
++ <link rel="stylesheet" href="/ndb/static/css/main.css" />
++
++- <script type="text/JavaScript">
++- var _gaq = _gaq || [];
++- // NAL
++- _gaq.push(['_setAccount', 'UA-28627214-1']);
++- _gaq.push(['_setDomainName', 'nal.usda.gov']);
++- _gaq.push(['_setAllowLinker', true]);
++- _gaq.push(['_trackPageview']);
++- //
++- // _gaq.push(['_setAccount', 'UA-3876418-1']);
++- // _gaq.push(['_trackPageview']);
++- // for NDB
++- _gaq.push(['_setAccount', 'UA-36442725-1']);
++- _gaq.push(['_trackPageview']);
++- // USDA servers
++- _gaq.push(['_setAccount', 'UA-466807-3']);
++- _gaq.push(['_setDomainName', 'usda.gov']);
++- _gaq.push(['_setAllowLinker', true]);
++- _gaq.push(['_trackPageview']);
++- //
++- _gaq.push(['a._setAccount', 'UA-27627304-18']);
++- _gaq.push(['a._setDomainName', 'usda.gov']);
++- _gaq.push(['a._setAllowLinker', true]);
++- _gaq.push(['a._trackPageview']);
++- //
++- _gaq.push(['b._setAccount', 'UA-27627304-1']);
++- _gaq.push(['b._setDomainName', 'usda.gov']);
++- _gaq.push(['b._setAllowLinker', true]);
++- _gaq.push(['b._trackPageview']);
++-
++- (function() {
++- var ga = document.createElement('script'); ga.type =
++- 'text/javascript'; ga.async = true;
++- ga.src = ('https:' == document.location.protocol ? 'https://ssl' :
++- 'http://www') + '.google-analytics.com/ga.js';
++- var s = document.getElementsByTagName('script')[0];
++- s.parentNode.insertBefore(ga, s);
++- })();
++- </script>
++-
+++<!-- google analytics snippet was completely removed by Debian maintainers.
+++ See http://lintian.debian.org/tags/privacy-breach-google-adsense.html
+++ for more information -->
++
++
++ <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
++@@ -794,4 +758,4 @@ handler: function() {this.cancel();},
++ Software v.1.2.2
++ </div>
++ </body>
++-</html>
++\ No newline at end of file
+++</html>
++--- a/doc/source/themes/nature_with_gtoc/layout.html
+++++ b/doc/source/themes/nature_with_gtoc/layout.html
++@@ -94,15 +94,4 @@ $(document).ready(function() {
++ });
++ });
++ </script>
++-<script type="text/javascript">
++- var _gaq = _gaq || [];
++- _gaq.push(['_setAccount', 'UA-27880019-2']);
++- _gaq.push(['_trackPageview']);
++-
++- (function() {
++- var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
++- ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
++- var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
++- })();
++-</script>
++ {% endblock %}
--- /dev/null
--- /dev/null
++--- a/doc/make.py
+++++ b/doc/make.py
++@@ -350,8 +350,9 @@ def main():
++ # external libraries (namely Sphinx) to compile this module and resolve
++ # the import of `python_path` correctly. The latter is used to resolve
++ # the import within the module, injecting it into the global namespace
++- os.environ["PYTHONPATH"] = args.python_path
++- sys.path.insert(0, args.python_path)
+++ # Debian: we set it outside
+++ #os.environ["PYTHONPATH"] = args.python_path
+++ #sys.path.insert(0, args.python_path)
++ globals()["pandas"] = importlib.import_module("pandas")
++
++ # Set the matplotlib backend to the non-interactive Agg backend for all
--- /dev/null
--- /dev/null
++--- a/doc/source/conf.py
+++++ b/doc/source/conf.py
++@@ -63,11 +63,16 @@ extensions = [
++ "sphinx.ext.mathjax",
++ "sphinx.ext.ifconfig",
++ "sphinx.ext.linkcode",
++- "nbsphinx",
+++ # "nbsphinx",
++ "contributors", # custom pandas extension
++ ]
++
++ mathjax_path="MathJax.js"
+++try:
+++ import nbsphinx
+++ extensions += ["nbsphinx"]
+++except:
+++ pass # survive without
++
++ exclude_patterns = ["**.ipynb_checkpoints"]
++ try:
--- /dev/null
--- /dev/null
++--- a/setup.cfg
+++++ b/setup.cfg
++@@ -69,7 +69,7 @@ markers =
++ high_memory: mark a test as a high-memory only
++ clipboard: mark a pd.read_clipboard test
++ doctest_optionflags = NORMALIZE_WHITESPACE IGNORE_EXCEPTION_DETAIL
++-addopts = --strict-data-files
+++# addopts = --strict-data-files
++ xfail_strict = True
++ filterwarnings =
++ error:Sparse:FutureWarning
--- /dev/null
--- /dev/null
++--- a/pandas/__init__.py
+++++ b/pandas/__init__.py
++@@ -182,13 +182,7 @@ from pandas.util._tester import test
++ import pandas.testing
++ import pandas.arrays
++
++-# use the closest tagged version if possible
++-from ._version import get_versions
++-
++-v = get_versions()
++-__version__ = v.get("closest-tag", v["version"])
++-__git_version__ = v.get("full-revisionid")
++-del get_versions, v
+++from .__version import version as __version__
++
++
++ # GH 27101
++--- a/pandas/tests/api/test_api.py
+++++ b/pandas/tests/api/test_api.py
++@@ -189,7 +189,7 @@ class TestPDApi(Base):
++ "_np_version_under1p17",
++ "_tslib",
++ "_typing",
++- "_version",
+++# not in Debian "_version",
++ ]
++
++ def test_api(self):
++--- a/pandas/tests/test_common.py
+++++ b/pandas/tests/test_common.py
++@@ -111,7 +111,7 @@ def test_standardize_mapping():
++ dd = collections.defaultdict(list)
++ assert isinstance(com.standardize_mapping(dd), partial)
++
++-
+++@pytest.mark.xfail(reason="deb_nonversioneer_version patch")
++ def test_git_version():
++ # GH 21295
++ git_version = pd.__git_version__
--- /dev/null
--- /dev/null
++From: Yaroslav Halchenko <debian@onerussian.com>
++Subject: swallow the error from pytables
++
++happens on wheezy and ubuntu 12.04, only in amd64, only if the entire test
++battery is run -- difficult to troubleshoot, and definetly resolved on later
++releases of Debian/Ubuntu. Thus skipping for now -- must be some glitch in
++pytables
++
++Origin: NeuroDebian
++Last-Update: 2014-02-04
++
++--- a/pandas/tests/io/test_pytables.py
+++++ b/pandas/tests/io/test_pytables.py
++@@ -3318,9 +3318,13 @@ class TestHDFStore(Base, tm.TestCase):
++
++ # big selector along the columns
++ selector = ['a', 'b', 'c'] + ['a%03d' % i for i in range(60)]
++- result = store.select(
++- 'df', [Term("ts>=Timestamp('2012-02-01')"),
++- Term('users=selector')])
+++ try:
+++ result = store.select(
+++ 'df', [Term("ts>=Timestamp('2012-02-01')"),
+++ Term('users=selector')])
+++ except KeyError as e:
+++ if "No object named df in" in str(e):
+++ raise nose.SkipTest("Skipping the test due to catching known %s" % e)
++ expected = df[(df.ts >= Timestamp('2012-02-01')) &
++ df.users.isin(selector)]
++ tm.assert_frame_equal(expected, result)
--- /dev/null
--- /dev/null
++Description: Allow tests to use the data files in the source tree
++
++We don't ship these in the package,
++but do want to run the tests that use them
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: not-needed
++
++--- a/pandas/conftest.py
+++++ b/pandas/conftest.py
++@@ -2,6 +2,7 @@ from datetime import date, time, timedel
++ from decimal import Decimal
++ import operator
++ import os
+++import argparse
++
++ from dateutil.tz import tzlocal, tzutc
++ import hypothesis
++@@ -43,6 +44,7 @@ def pytest_addoption(parser):
++ action="store_true",
++ help="Fail if a test is skipped for missing data file.",
++ )
+++ parser.addoption("--deb-data-root-dir",action="store",help=argparse.SUPPRESS)#for internal use of the Debian CI infrastructure, may change without warning. Security note: test_pickle can run arbitrary code from this directory
++
++
++ def pytest_runtest_setup(item):
++@@ -340,7 +342,7 @@ def strict_data_files(pytestconfig):
++
++
++ @pytest.fixture
++-def datapath(strict_data_files):
+++def datapath(strict_data_files,pytestconfig):
++ """Get the path to a data file.
++
++ Parameters
++@@ -357,7 +359,9 @@ def datapath(strict_data_files):
++ ValueError
++ If the path doesn't exist and the --strict-data-files option is set.
++ """
++- BASE_PATH = os.path.join(os.path.dirname(__file__), "tests")
+++ BASE_PATH = pytestconfig.getoption("--deb-data-root-dir",default=None)
+++ if BASE_PATH is None:
+++ BASE_PATH = os.path.join(os.path.dirname(__file__), "tests")
++
++ def deco(*args):
++ path = os.path.join(BASE_PATH, *args)
++--- a/pandas/tests/util/test_util.py
+++++ b/pandas/tests/util/test_util.py
++@@ -86,6 +86,7 @@ def test_datapath_missing(datapath):
++ datapath("not_a_file")
++
++
+++@pytest.mark.xfail(reason="--deb-data-root-dir intentionally breaks this",strict=False)
++ def test_datapath(datapath):
++ args = ("data", "iris.csv")
++
--- /dev/null
--- /dev/null
++Description: Don't use 'is' with literals
++
++It causes a SyntaxWarning on install, and possibly undefined test results
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/956021
++Forwarded: https://github.com/pandas-dev/pandas/pull/33322
++
++--- pandas-1.0.3+dfsg.orig/pandas/tests/frame/test_alter_axes.py
+++++ pandas-1.0.3+dfsg/pandas/tests/frame/test_alter_axes.py
++@@ -236,9 +236,16 @@ class TestDataFrameAlterAxes:
++
++ # need to adapt first drop for case that both keys are 'A' --
++ # cannot drop the same column twice;
++- # use "is" because == would give ambiguous Boolean error for containers
+++ # plain == would give ambiguous Boolean error for containers
++ first_drop = (
++- False if (keys[0] is "A" and keys[1] is "A") else drop # noqa: F632
+++ False
+++ if (
+++ type(keys[0]) == str
+++ and keys[0] == "A"
+++ and type(keys[1]) == str
+++ and keys[1] == "A"
+++ )
+++ else drop
++ )
++ # to test against already-tested behaviour, we add sequentially,
++ # hence second append always True; must wrap keys in list, otherwise
--- /dev/null
--- /dev/null
++Description: Use fixed seeds for reproducible pseudorandomness
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- pandas-0.25.3+dfsg.orig/doc/source/getting_started/comparison/comparison_with_r.rst
+++++ pandas-0.25.3+dfsg/doc/source/getting_started/comparison/comparison_with_r.rst
++@@ -226,6 +226,7 @@ In ``pandas`` we may use :meth:`~pandas.
++
++ import random
++ import string
+++ random.seed(123456) # for reproducibility
++
++ baseball = pd.DataFrame(
++ {'team': ["team %d" % (x + 1) for x in range(5)] * 5,
++--- pandas-0.25.3+dfsg.orig/doc/source/user_guide/advanced.rst
+++++ pandas-0.25.3+dfsg/doc/source/user_guide/advanced.rst
++@@ -565,6 +565,7 @@ they need to be sorted. As with any inde
++ .. ipython:: python
++
++ import random
+++ random.seed(123456) # for reproducibility
++ random.shuffle(tuples)
++ s = pd.Series(np.random.randn(8), index=pd.MultiIndex.from_tuples(tuples))
++ s
++--- pandas-0.25.3+dfsg.orig/doc/source/user_guide/visualization.rst
+++++ pandas-0.25.3+dfsg/doc/source/user_guide/visualization.rst
++@@ -996,6 +996,7 @@ are what constitutes the bootstrap plot.
++ :suppress:
++
++ np.random.seed(123456)
+++ random.seed(123456) # for reproducibility - bootstrap_plot uses random.sample
++
++ .. ipython:: python
++
--- /dev/null
--- /dev/null
++Description: Use Python 3 shebangs and subprocess calls
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- a/pandas/tests/io/test_compression.py
+++++ b/pandas/tests/io/test_compression.py
++@@ -139,7 +139,7 @@ def test_with_missing_lzma():
++ import pandas
++ """
++ )
++- subprocess.check_output(["python", "-c", code])
+++ subprocess.check_output(["python3", "-c", code])
++
++
++ def test_with_missing_lzma_runtime():
++@@ -156,4 +156,4 @@ def test_with_missing_lzma_runtime():
++ df.to_csv('foo.csv', compression='xz')
++ """
++ )
++- subprocess.check_output(["python", "-c", code])
+++ subprocess.check_output(["python3", "-c", code])
++--- a/ci/print_skipped.py
+++++ b/ci/print_skipped.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++
++ import os
++ import sys
++--- a/doc/make.py
+++++ b/doc/make.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++ """
++ Python script for building documentation.
++
++--- a/pandas/core/computation/eval.py
+++++ b/pandas/core/computation/eval.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++
++ """
++ Top level ``eval`` module.
++--- a/pandas/tests/io/generate_legacy_storage_files.py
+++++ b/pandas/tests/io/generate_legacy_storage_files.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++
++ """
++ self-contained to write legacy storage (pickle/msgpack) files
++--- a/pandas/tests/plotting/common.py
+++++ b/pandas/tests/plotting/common.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++ # coding: utf-8
++
++ import os
++--- a/scripts/download_wheels.py
+++++ b/scripts/download_wheels.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++ """Fetch wheels from wheels.scipy.org for a pandas version."""
++ import argparse
++ import pathlib
++--- a/scripts/validate_docstrings.py
+++++ b/scripts/validate_docstrings.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++ """
++ Analyze docstrings to detect errors.
++
++--- a/setup.py
+++++ b/setup.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++
++ """
++ Parts of this file were taken from the pyzmq project
++--- a/doc/sphinxext/announce.py
+++++ b/doc/sphinxext/announce.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++ # -*- encoding:utf-8 -*-
++ """
++ Script to generate contributor and pull request lists
++--- a/scripts/generate_pip_deps_from_conda.py
+++++ b/scripts/generate_pip_deps_from_conda.py
++@@ -1,4 +1,4 @@
++-#!/usr/bin/env python
+++#!/usr/bin/env python3
++ """
++ Convert the conda environment.yml to the pip requirements-dev.txt,
++ or check that they have the same packages (for the CI)
--- /dev/null
--- /dev/null
++Description: Avoid test failures on Hurd
++
++Allow multiprocessing to be unavailable
++Accept any errno not just 2 for (intentionally) nonexistent files
++(Hurd appears to use 2**30+2)
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- pandas-1.0.5+dfsg.orig/pandas/tests/io/parser/test_common.py
+++++ pandas-1.0.5+dfsg/pandas/tests/io/parser/test_common.py
++@@ -960,7 +960,7 @@ def test_nonexistent_path(all_parsers):
++ parser = all_parsers
++ path = "{}.csv".format(tm.rands(10))
++
++- msg = "does not exist" if parser.engine == "c" else r"\[Errno 2\]"
+++ msg = "does not exist" if parser.engine == "c" else r"\[Errno 2\]|\[Errno [0-9]+\] No such file or directory"
++ with pytest.raises(FileNotFoundError, match=msg) as e:
++ parser.read_csv(path)
++
++--- pandas-1.0.5+dfsg.orig/pandas/tests/io/parser/test_multi_thread.py
+++++ pandas-1.0.5+dfsg/pandas/tests/io/parser/test_multi_thread.py
++@@ -3,7 +3,12 @@ Tests multithreading behaviour for readi
++ parsing files for each parser defined in parsers.py
++ """
++ from io import BytesIO
++-from multiprocessing.pool import ThreadPool
+++import pytest
+++try:
+++ from multiprocessing.pool import ThreadPool
+++ ThreadPool()
+++except ImportError:
+++ pytest.skip(reason="multiprocessing not available",allow_module_level=True)
++
++ import numpy as np
++
++--- a/pandas/tests/io/test_common.py
+++++ b/pandas/tests/io/test_common.py
++@@ -152,7 +152,7 @@ bar2,12,13,14,15
++ path = os.path.join(HERE, "data", "does_not_exist." + fn_ext)
++ msg1 = r"File (b')?.+does_not_exist\.{}'? does not exist".format(fn_ext)
++ msg2 = (
++- r"\[Errno 2\] No such file or directory: '.+does_not_exist" r"\.{}'"
+++ r"\[Errno [0-9]+\] No such file or directory: '.+does_not_exist" r"\.{}'"
++ ).format(fn_ext)
++ msg3 = "Expected object or value"
++ msg4 = "path_or_buf needs to be a string file path or file-like"
++@@ -191,7 +191,7 @@ bar2,12,13,14,15
++
++ msg1 = r"File (b')?.+does_not_exist\.{}'? does not exist".format(fn_ext)
++ msg2 = (
++- r"\[Errno 2\] No such file or directory:" r" '.+does_not_exist\.{}'"
+++ r"\[Errno [0-9]+\] No such file or directory:" r" '.+does_not_exist\.{}'"
++ ).format(fn_ext)
++ msg3 = "Unexpected character found when decoding 'false'"
++ msg4 = "path_or_buf needs to be a string file path or file-like"
--- /dev/null
--- /dev/null
++Description: Don't fail tests on harmless changes to dependencies
++
++Ignore deprecation warnings added in
++Python 3.8, matplotlib 3.2, jedi 0.16/0.17
++(one jedi deprecation appears to come from IPython because it uses stacklevel=2)
++
++Don't assert that matplotlib rejects shorthand hex colors,
++as from 3.2 it accepts them:
++https://matplotlib.org/users/prev_whats_new/whats_new_3.2.0.html#digit-and-4-digit-hex-colors
++
++Ignore change to date axis default range/ticks
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- a/pandas/util/testing.py
+++++ b/pandas/util/testing.py
++@@ -14,7 +14,10 @@ import traceback
++ from typing import Union, cast
++ import warnings
++ import zipfile
++-
+++try:
+++ from matplotlib.cbook import MatplotlibDeprecationWarning
+++except ImportError:
+++ MatplotlibDeprecationWarning = None
++ import numpy as np
++ from numpy.random import rand, randn
++
++@@ -2695,6 +2698,12 @@ def assert_produces_warning(
++ else:
++ if actual_warning.category==UserWarning and "Non-x86 system detected" in str(actual_warning.message) and not bool(re.match('i.?86|x86',platform.uname()[4])):
++ continue
+++ if actual_warning.category==DeprecationWarning and "PY_SSIZE_T_CLEAN will be required for '#' formats" in str(actual_warning.message) and 'matplotlib' in actual_warning.filename:
+++ continue
+++ if actual_warning.category==MatplotlibDeprecationWarning and "deprecated in Matplotlib 3.2" in str(actual_warning.message) and 'matplotlib' in actual_warning.filename:
+++ continue
+++ if actual_warning.category==DeprecationWarning and ('jedi' in actual_warning.filename or 'IPython' in actual_warning.filename):
+++ continue
++ extra_warnings.append(
++ (
++ actual_warning.category.__name__,
++--- a/pandas/tests/plotting/test_datetimelike.py
+++++ b/pandas/tests/plotting/test_datetimelike.py
++@@ -1520,11 +1520,7 @@ class TestTSPlot(TestPlotBase):
++ ax.scatter(x="time", y="y", data=df)
++ self.plt.draw()
++ label = ax.get_xticklabels()[0]
++- if self.mpl_ge_3_0_0:
++- expected = "2017-12-08"
++- else:
++- expected = "2017-12-12"
++- assert label.get_text() == expected
+++ assert label.get_text() in ["2018-01-01","2017-12-08","2017-12-12"] # matplotlib version dependent
++
++
++ def _check_plot_works(f, freq=None, series=None, *args, **kwargs):
++--- a/pandas/tests/plotting/test_frame.py
+++++ b/pandas/tests/plotting/test_frame.py
++@@ -1989,12 +1989,6 @@ class TestDataFramePlots(TestPlotBase):
++ self._check_colors(ax.get_lines(), linecolors=custom_colors)
++ tm.close()
++
++- with pytest.raises(ValueError):
++- # Color contains shorthand hex value results in ValueError
++- custom_colors = ["#F00", "#00F", "#FF0", "#000", "#FFF"]
++- # Forced show plot
++- _check_plot_works(df.plot, color=custom_colors)
++-
++ @pytest.mark.slow
++ def test_dont_modify_colors(self):
++ colors = ["r", "g", "b"]
++@@ -2046,14 +2040,6 @@ class TestDataFramePlots(TestPlotBase):
++ self._check_colors(ax.get_lines(), linecolors=[c])
++ tm.close()
++
++- with pytest.raises(ValueError):
++- # Color contains shorthand hex value results in ValueError
++- custom_colors = ["#F00", "#00F", "#FF0", "#000", "#FFF"]
++- # Forced show plot
++- # _check_plot_works adds an ax so catch warning. see GH #13188
++- with tm.assert_produces_warning(UserWarning):
++- _check_plot_works(df.plot, color=custom_colors, subplots=True)
++-
++ rgba_colors = [cm.jet(n) for n in np.linspace(0, 1, len(df))]
++ for cmap in ["jet", cm.jet]:
++ axes = df.plot(colormap=cmap, subplots=True)
--- /dev/null
--- /dev/null
++Description: Use https for links where possible
++
++Also fix some (semi-)broken links found while checking https availability.
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: accepted for 1.1 https://github.com/pandas-dev/pandas/pull/31145
++
++--- a/.github/CODE_OF_CONDUCT.md
+++++ b/.github/CODE_OF_CONDUCT.md
++@@ -54,10 +54,10 @@ incident.
++
++ This Code of Conduct is adapted from the [Contributor Covenant][homepage],
++ version 1.3.0, available at
++-[http://contributor-covenant.org/version/1/3/0/][version],
+++[https://www.contributor-covenant.org/version/1/3/0/][version],
++ and the [Swift Code of Conduct][swift].
++
++-[homepage]: http://contributor-covenant.org
++-[version]: http://contributor-covenant.org/version/1/3/0/
+++[homepage]: https://www.contributor-covenant.org
+++[version]: https://www.contributor-covenant.org/version/1/3/0/
++ [swift]: https://swift.org/community/#code-of-conduct
++
++--- a/.github/CONTRIBUTING.md
+++++ b/.github/CONTRIBUTING.md
++@@ -16,7 +16,7 @@ If you notice a bug in the code or docum
++
++ ## Contributing to the Codebase
++
++-The code is hosted on [GitHub](https://www.github.com/pandas-dev/pandas), so you will need to use [Git](http://git-scm.com/) to clone the project and make changes to the codebase. Once you have obtained a copy of the code, you should create a development environment that is separate from your existing Python environment so that you can make and test changes without compromising your own work environment. For more information, please refer to the "[Working with the code](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#working-with-the-code)" section.
+++The code is hosted on [GitHub](https://www.github.com/pandas-dev/pandas), so you will need to use [Git](https://git-scm.com/) to clone the project and make changes to the codebase. Once you have obtained a copy of the code, you should create a development environment that is separate from your existing Python environment so that you can make and test changes without compromising your own work environment. For more information, please refer to the "[Working with the code](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#working-with-the-code)" section.
++
++ Before submitting your changes for review, make sure to check that your changes do not break any tests. You can find more information about our test suites in the "[Test-driven development/code writing](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#test-driven-development-code-writing)" section. We also have guidelines regarding coding style that will be enforced during testing, which can be found in the "[Code standards](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#code-standards)" section.
++
++--- a/AUTHORS.md
+++++ b/AUTHORS.md
++@@ -14,7 +14,7 @@ About the Copyright Holders
++ The PyData Development Team is the collection of developers of the PyData
++ project. This includes all of the PyData sub-projects, including pandas. The
++ core team that coordinates development on GitHub can be found here:
++- http://github.com/pydata.
+++ https://github.com/pydata.
++
++ Full credits for pandas contributors can be found in the documentation.
++
++--- a/RELEASE.md
+++++ b/RELEASE.md
++@@ -2,5 +2,5 @@ Release Notes
++ =============
++
++ The list of changes to Pandas between each release can be found
++-[here](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html). For full
++-details, see the commit logs at http://github.com/pandas-dev/pandas.
+++[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full
+++details, see the commit logs at https://github.com/pandas-dev/pandas.
++--- a/asv_bench/benchmarks/pandas_vb_common.py
+++++ b/asv_bench/benchmarks/pandas_vb_common.py
++@@ -48,7 +48,7 @@ except AttributeError:
++ def setup(*args, **kwargs):
++ # This function just needs to be imported into each benchmark file to
++ # set up the random seed before each function.
++- # http://asv.readthedocs.io/en/latest/writing_benchmarks.html
+++ # https://asv.readthedocs.io/en/latest/writing_benchmarks.html
++ np.random.seed(1234)
++
++
++--- a/doc/cheatsheet/README.txt
+++++ b/doc/cheatsheet/README.txt
++@@ -5,4 +5,4 @@ and pick "PDF" as the format.
++ This cheat sheet was inspired by the RStudio Data Wrangling Cheatsheet[1], written by Irv Lustig, Princeton Consultants[2].
++
++ [1]: https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
++-[2]: http://www.princetonoptimization.com/
+++[2]: https://www.princetonoptimization.com/
++--- a/doc/source/conf.py
+++++ b/doc/source/conf.py
++@@ -632,11 +632,11 @@ def linkcode_resolve(domain, info):
++ fn = os.path.relpath(fn, start=os.path.dirname(pandas.__file__))
++
++ if "+" in pandas.__version__:
++- return "http://github.com/pandas-dev/pandas/blob/master/pandas/" "{}{}".format(
+++ return "https://github.com/pandas-dev/pandas/blob/master/pandas/" "{}{}".format(
++ fn, linespec
++ )
++ else:
++- return "http://github.com/pandas-dev/pandas/blob/" "v{}/pandas/{}{}".format(
+++ return "https://github.com/pandas-dev/pandas/blob/" "v{}/pandas/{}{}".format(
++ pandas.__version__, fn, linespec
++ )
++
++@@ -703,7 +703,7 @@ def rstjinja(app, docname, source):
++ """
++ Render our pages as a jinja template for fancy templating goodness.
++ """
++- # http://ericholscher.com/blog/2016/jul/25/integrating-jinja-rst-sphinx/
+++ # https://www.ericholscher.com/blog/2016/jul/25/integrating-jinja-rst-sphinx/
++ # Make sure we're outputting HTML
++ if app.builder.format != "html":
++ return
++--- a/doc/source/development/contributing.rst
+++++ b/doc/source/development/contributing.rst
++@@ -35,7 +35,7 @@ Bug reports and enhancement requests
++ Bug reports are an important part of making *pandas* more stable. Having a complete bug report
++ will allow others to reproduce the bug and provide insight into fixing. See
++ `this stackoverflow article <https://stackoverflow.com/help/mcve>`_ and
++-`this blogpost <http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports>`_
+++`this blogpost <https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports>`_
++ for tips on writing a good bug report.
++
++ Trying the bug-producing code out on the *master* branch is often a worthwhile exercise
++@@ -46,7 +46,7 @@ Bug reports must:
++
++ #. Include a short, self-contained Python snippet reproducing the problem.
++ You can format the code nicely by using `GitHub Flavored Markdown
++- <http://github.github.com/github-flavored-markdown/>`_::
+++ <https://github.github.com/github-flavored-markdown/>`_::
++
++ ```python
++ >>> from pandas import DataFrame
++@@ -83,19 +83,19 @@ feel free to ask for help.
++
++ The code is hosted on `GitHub <https://www.github.com/pandas-dev/pandas>`_. To
++ contribute you will need to sign up for a `free GitHub account
++-<https://github.com/signup/free>`_. We use `Git <http://git-scm.com/>`_ for
+++<https://github.com/signup/free>`_. We use `Git <https://git-scm.com/>`_ for
++ version control to allow many people to work together on the project.
++
++ Some great resources for learning Git:
++
++-* the `GitHub help pages <http://help.github.com/>`_.
++-* the `NumPy's documentation <http://docs.scipy.org/doc/numpy/dev/index.html>`_.
++-* Matthew Brett's `Pydagogue <http://matthew-brett.github.com/pydagogue/>`_.
+++* the `GitHub help pages <https://help.github.com/>`_.
+++* the `NumPy's documentation <https://docs.scipy.org/doc/numpy/dev/index.html>`_.
+++* Matthew Brett's `Pydagogue <https://matthew-brett.github.com/pydagogue/>`_.
++
++ Getting started with Git
++ ------------------------
++
++-`GitHub has instructions <http://help.github.com/set-up-git-redirect>`__ for installing git,
+++`GitHub has instructions <https://help.github.com/set-up-git-redirect>`__ for installing git,
++ setting up your SSH key, and configuring git. All these steps need to be completed before
++ you can work seamlessly between your local repository and GitHub.
++
++@@ -204,7 +204,7 @@ To return to your root environment::
++
++ conda deactivate
++
++-See the full conda docs `here <http://conda.pydata.org/docs>`__.
+++See the full conda docs `here <https://conda.pydata.org/docs>`__.
++
++ .. _contributing.pip:
++
++@@ -280,9 +280,9 @@ About the *pandas* documentation
++ --------------------------------
++
++ The documentation is written in **reStructuredText**, which is almost like writing
++-in plain English, and built using `Sphinx <http://sphinx.pocoo.org/>`__. The
+++in plain English, and built using `Sphinx <https://www.sphinx-doc.org/en/master/>`__. The
++ Sphinx Documentation has an excellent `introduction to reST
++-<http://sphinx.pocoo.org/rest.html>`__. Review the Sphinx docs to perform more
+++<https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html>`__. Review the Sphinx docs to perform more
++ complex changes to the documentation as well.
++
++ Some other important things to know about the docs:
++@@ -305,7 +305,7 @@ Some other important things to know abou
++ contributing_docstring.rst
++
++ * The tutorials make heavy use of the `ipython directive
++- <http://matplotlib.org/sampledoc/ipython_directive.html>`_ sphinx extension.
+++ <https://matplotlib.org/sampledoc/ipython_directive.html>`_ sphinx extension.
++ This directive lets you put code in the documentation which will be run
++ during the doc build. For example::
++
++@@ -351,7 +351,7 @@ Some other important things to know abou
++ The ``.rst`` files are used to automatically generate Markdown and HTML versions
++ of the docs. For this reason, please do not edit ``CONTRIBUTING.md`` directly,
++ but instead make any changes to ``doc/source/development/contributing.rst``. Then, to
++- generate ``CONTRIBUTING.md``, use `pandoc <http://johnmacfarlane.net/pandoc/>`_
+++ generate ``CONTRIBUTING.md``, use `pandoc <https://johnmacfarlane.net/pandoc/>`_
++ with the following command::
++
++ pandoc doc/source/development/contributing.rst -t markdown_github > CONTRIBUTING.md
++@@ -536,8 +536,8 @@ You can also run this command on an enti
++ cpplint --extensions=c,h --headers=h --filter=-readability/casting,-runtime/int,-build/include_subdir --recursive modified-c-directory
++
++ To make your commits compliant with this standard, you can install the
++-`ClangFormat <http://clang.llvm.org/docs/ClangFormat.html>`_ tool, which can be
++-downloaded `here <http://llvm.org/builds/>`__. To configure, in your home directory,
+++`ClangFormat <https://clang.llvm.org/docs/ClangFormat.html>`_ tool, which can be
+++downloaded `here <https://llvm.org/builds/>`__. To configure, in your home directory,
++ run the following command::
++
++ clang-format style=google -dump-config > .clang-format
++@@ -565,7 +565,7 @@ fixes manually.
++ Python (PEP8 / black)
++ ~~~~~~~~~~~~~~~~~~~~~
++
++-*pandas* follows the `PEP8 <http://www.python.org/dev/peps/pep-0008/>`_ standard
+++*pandas* follows the `PEP8 <https://www.python.org/dev/peps/pep-0008/>`_ standard
++ and uses `Black <https://black.readthedocs.io/en/stable/>`_ and
++ `Flake8 <http://flake8.pycqa.org/en/latest/>`_ to ensure a consistent code
++ format throughout the project.
++@@ -755,9 +755,9 @@ Adding tests is one of the most common r
++ it is worth getting in the habit of writing tests ahead of time so this is never an issue.
++
++ Like many packages, *pandas* uses `pytest
++-<http://docs.pytest.org/en/latest/>`_ and the convenient
+++<https://docs.pytest.org/en/latest/>`_ and the convenient
++ extensions in `numpy.testing
++-<http://docs.scipy.org/doc/numpy/reference/routines.testing.html>`_.
+++<https://docs.scipy.org/doc/numpy/reference/routines.testing.html>`_.
++
++ .. note::
++
++@@ -805,7 +805,7 @@ Transitioning to ``pytest``
++ class TestReallyCoolFeature:
++ pass
++
++-Going forward, we are moving to a more *functional* style using the `pytest <http://docs.pytest.org/en/latest/>`__ framework, which offers a richer testing
+++Going forward, we are moving to a more *functional* style using the `pytest <https://docs.pytest.org/en/latest/>`__ framework, which offers a richer testing
++ framework that will facilitate testing and developing. Thus, instead of writing test classes, we will write test functions like this:
++
++ .. code-block:: python
++@@ -1038,7 +1038,7 @@ On Windows, one can type::
++ This can significantly reduce the time it takes to locally run tests before
++ submitting a pull request.
++
++-For more, see the `pytest <http://docs.pytest.org/en/latest/>`_ documentation.
+++For more, see the `pytest <https://docs.pytest.org/en/latest/>`_ documentation.
++
++ .. versionadded:: 0.20.0
++
++--- a/doc/source/development/contributing_docstring.rst
+++++ b/doc/source/development/contributing_docstring.rst
++@@ -77,8 +77,8 @@ language that allows encoding styles in
++ about reStructuredText can be found in:
++
++ * `Sphinx reStructuredText primer <https://www.sphinx-doc.org/en/stable/rest.html>`_
++-* `Quick reStructuredText reference <http://docutils.sourceforge.net/docs/user/rst/quickref.html>`_
++-* `Full reStructuredText specification <http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html>`_
+++* `Quick reStructuredText reference <https://docutils.sourceforge.io/docs/user/rst/quickref.html>`_
+++* `Full reStructuredText specification <https://docutils.sourceforge.io/docs/ref/rst/restructuredtext.html>`_
++
++ Pandas has some helpers for sharing docstrings between related classes, see
++ :ref:`docstring.sharing`.
++--- a/doc/source/development/extending.rst
+++++ b/doc/source/development/extending.rst
++@@ -264,7 +264,7 @@ Subclassing pandas data structures
++
++ 1. Extensible method chains with :ref:`pipe <basics.pipe>`
++
++- 2. Use *composition*. See `here <http://en.wikipedia.org/wiki/Composition_over_inheritance>`_.
+++ 2. Use *composition*. See `here <https://en.wikipedia.org/wiki/Composition_over_inheritance>`_.
++
++ 3. Extending by :ref:`registering an accessor <extending.register-accessors>`
++
++--- a/doc/source/ecosystem.rst
+++++ b/doc/source/ecosystem.rst
++@@ -267,8 +267,8 @@ dimensional arrays, rather than the tabu
++ Out-of-core
++ -------------
++
++-`Blaze <http://blaze.pydata.org/>`__
++-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+++`Blaze <https://blaze.pydata.org/>`__
+++~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
++
++ Blaze provides a standard API for doing computations with various
++ in-memory and on-disk backends: NumPy, Pandas, SQLAlchemy, MongoDB, PyTables,
++--- a/doc/source/getting_started/comparison/comparison_with_r.rst
+++++ b/doc/source/getting_started/comparison/comparison_with_r.rst
++@@ -6,9 +6,9 @@ Comparison with R / R libraries
++ *******************************
++
++ Since ``pandas`` aims to provide a lot of the data manipulation and analysis
++-functionality that people use `R <http://www.r-project.org/>`__ for, this page
+++functionality that people use `R <https://www.r-project.org/>`__ for, this page
++ was started to provide a more detailed look at the `R language
++-<http://en.wikipedia.org/wiki/R_(programming_language)>`__ and its many third
+++<https://en.wikipedia.org/wiki/R_(programming_language)>`__ and its many third
++ party libraries as they relate to ``pandas``. In comparisons with R and CRAN
++ libraries, we care about the following things:
++
++@@ -518,37 +518,37 @@ For more details and examples see :ref:`
++
++
++ .. |c| replace:: ``c``
++-.. _c: http://stat.ethz.ch/R-manual/R-patched/library/base/html/c.html
+++.. _c: https://stat.ethz.ch/R-manual/R-patched/library/base/html/c.html
++
++ .. |aggregate| replace:: ``aggregate``
++-.. _aggregate: http://finzi.psych.upenn.edu/R/library/stats/html/aggregate.html
+++.. _aggregate: https://stat.ethz.ch/R-manual/R-patched/library/stats/html/aggregate.html
++
++ .. |match| replace:: ``match`` / ``%in%``
++-.. _match: http://finzi.psych.upenn.edu/R/library/base/html/match.html
+++.. _match: https://stat.ethz.ch/R-manual/R-patched/library/base/html/match.html
++
++ .. |tapply| replace:: ``tapply``
++-.. _tapply: http://finzi.psych.upenn.edu/R/library/base/html/tapply.html
+++.. _tapply: https://stat.ethz.ch/R-manual/R-patched/library/base/html/tapply.html
++
++ .. |with| replace:: ``with``
++-.. _with: http://finzi.psych.upenn.edu/R/library/base/html/with.html
+++.. _with: https://stat.ethz.ch/R-manual/R-patched/library/base/html/with.html
++
++ .. |subset| replace:: ``subset``
++-.. _subset: http://finzi.psych.upenn.edu/R/library/base/html/subset.html
+++.. _subset: https://stat.ethz.ch/R-manual/R-patched/library/base/html/subset.html
++
++ .. |ddply| replace:: ``ddply``
++-.. _ddply: http://www.inside-r.org/packages/cran/plyr/docs/ddply
+++.. _ddply: https://cran.r-project.org/web/packages/plyr/plyr.pdf#Rfn.ddply.1
++
++ .. |meltarray| replace:: ``melt.array``
++-.. _meltarray: http://www.inside-r.org/packages/cran/reshape2/docs/melt.array
+++.. _meltarray: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.melt.array.1
++
++ .. |meltlist| replace:: ``melt.list``
++-.. meltlist: http://www.inside-r.org/packages/cran/reshape2/docs/melt.list
+++.. meltlist: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.melt.list.1
++
++ .. |meltdf| replace:: ``melt.data.frame``
++-.. meltdf: http://www.inside-r.org/packages/cran/reshape2/docs/melt.data.frame
+++.. meltdf: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.melt.data.frame.1
++
++ .. |cast| replace:: ``cast``
++-.. cast: http://www.inside-r.org/packages/cran/reshape2/docs/cast
+++.. cast: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.cast.1
++
++ .. |factor| replace:: ``factor``
++ .. _factor: https://stat.ethz.ch/R-manual/R-devel/library/base/html/factor.html
++--- a/doc/source/getting_started/comparison/comparison_with_stata.rst
+++++ b/doc/source/getting_started/comparison/comparison_with_stata.rst
++@@ -673,6 +673,6 @@ Disk vs memory
++ Pandas and Stata both operate exclusively in memory. This means that the size of
++ data able to be loaded in pandas is limited by your machine's memory.
++ If out of core processing is needed, one possibility is the
++-`dask.dataframe <http://dask.pydata.org/en/latest/dataframe.html>`_
+++`dask.dataframe <https://dask.pydata.org/en/latest/dataframe.html>`_
++ library, which provides a subset of pandas functionality for an
++ on-disk ``DataFrame``.
++--- a/doc/source/getting_started/dsintro.rst
+++++ b/doc/source/getting_started/dsintro.rst
++@@ -658,7 +658,7 @@ union of the column and row labels.
++
++ When doing an operation between DataFrame and Series, the default behavior is
++ to align the Series **index** on the DataFrame **columns**, thus `broadcasting
++-<http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html>`__
+++<https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html>`__
++ row-wise. For example:
++
++ .. ipython:: python
++--- a/doc/source/install.rst
+++++ b/doc/source/install.rst
++@@ -7,13 +7,13 @@ Installation
++ ============
++
++ The easiest way to install pandas is to install it
++-as part of the `Anaconda <http://docs.continuum.io/anaconda/>`__ distribution, a
+++as part of the `Anaconda <https://docs.continuum.io/anaconda/>`__ distribution, a
++ cross platform distribution for data analysis and scientific computing.
++ This is the recommended installation method for most users.
++
++ Instructions for installing from source,
++ `PyPI <https://pypi.org/project/pandas>`__, `ActivePython <https://www.activestate.com/activepython/downloads>`__, various Linux distributions, or a
++-`development version <http://github.com/pandas-dev/pandas>`__ are also provided.
+++`development version <https://github.com/pandas-dev/pandas>`__ are also provided.
++
++ Python version support
++ ----------------------
++@@ -28,28 +28,28 @@ Installing pandas
++ Installing with Anaconda
++ ~~~~~~~~~~~~~~~~~~~~~~~~
++
++-Installing pandas and the rest of the `NumPy <http://www.numpy.org/>`__ and
++-`SciPy <http://www.scipy.org/>`__ stack can be a little
+++Installing pandas and the rest of the `NumPy <https://www.numpy.org/>`__ and
+++`SciPy <https://www.scipy.org/>`__ stack can be a little
++ difficult for inexperienced users.
++
++ The simplest way to install not only pandas, but Python and the most popular
++-packages that make up the `SciPy <http://www.scipy.org/>`__ stack
++-(`IPython <http://ipython.org/>`__, `NumPy <http://www.numpy.org/>`__,
++-`Matplotlib <http://matplotlib.org/>`__, ...) is with
++-`Anaconda <http://docs.continuum.io/anaconda/>`__, a cross-platform
+++packages that make up the `SciPy <https://www.scipy.org/>`__ stack
+++(`IPython <https://ipython.org/>`__, `NumPy <https://www.numpy.org/>`__,
+++`Matplotlib <https://matplotlib.org/>`__, ...) is with
+++`Anaconda <https://docs.continuum.io/anaconda/>`__, a cross-platform
++ (Linux, Mac OS X, Windows) Python distribution for data analytics and
++ scientific computing.
++
++ After running the installer, the user will have access to pandas and the
++-rest of the `SciPy <http://www.scipy.org/>`__ stack without needing to install
+++rest of the `SciPy <https://www.scipy.org/>`__ stack without needing to install
++ anything else, and without needing to wait for any software to be compiled.
++
++-Installation instructions for `Anaconda <http://docs.continuum.io/anaconda/>`__
++-`can be found here <http://docs.continuum.io/anaconda/install.html>`__.
+++Installation instructions for `Anaconda <https://docs.continuum.io/anaconda/>`__
+++`can be found here <https://docs.continuum.io/anaconda/install.html>`__.
++
++ A full list of the packages available as part of the
++-`Anaconda <http://docs.continuum.io/anaconda/>`__ distribution
++-`can be found here <http://docs.continuum.io/anaconda/pkg-docs.html>`__.
+++`Anaconda <https://docs.continuum.io/anaconda/>`__ distribution
+++`can be found here <https://docs.continuum.io/anaconda/packages/pkg-docs/>`__.
++
++ Another advantage to installing Anaconda is that you don't need
++ admin rights to install it. Anaconda can install in the user's home directory,
++@@ -62,28 +62,28 @@ Installing with Miniconda
++ ~~~~~~~~~~~~~~~~~~~~~~~~~
++
++ The previous section outlined how to get pandas installed as part of the
++-`Anaconda <http://docs.continuum.io/anaconda/>`__ distribution.
+++`Anaconda <https://docs.continuum.io/anaconda/>`__ distribution.
++ However this approach means you will install well over one hundred packages
++ and involves downloading the installer which is a few hundred megabytes in size.
++
++ If you want to have more control on which packages, or have a limited internet
++ bandwidth, then installing pandas with
++-`Miniconda <http://conda.pydata.org/miniconda.html>`__ may be a better solution.
+++`Miniconda <https://conda.pydata.org/miniconda.html>`__ may be a better solution.
++
++-`Conda <http://conda.pydata.org/docs/>`__ is the package manager that the
++-`Anaconda <http://docs.continuum.io/anaconda/>`__ distribution is built upon.
+++`Conda <https://conda.pydata.org/docs/>`__ is the package manager that the
+++`Anaconda <https://docs.continuum.io/anaconda/>`__ distribution is built upon.
++ It is a package manager that is both cross-platform and language agnostic
++ (it can play a similar role to a pip and virtualenv combination).
++
++-`Miniconda <http://conda.pydata.org/miniconda.html>`__ allows you to create a
+++`Miniconda <https://conda.pydata.org/miniconda.html>`__ allows you to create a
++ minimal self contained Python installation, and then use the
++-`Conda <http://conda.pydata.org/docs/>`__ command to install additional packages.
+++`Conda <https://conda.pydata.org/docs/>`__ command to install additional packages.
++
++-First you will need `Conda <http://conda.pydata.org/docs/>`__ to be installed and
+++First you will need `Conda <https://conda.pydata.org/docs/>`__ to be installed and
++ downloading and running the `Miniconda
++-<http://conda.pydata.org/miniconda.html>`__
+++<https://conda.pydata.org/miniconda.html>`__
++ will do this for you. The installer
++-`can be found here <http://conda.pydata.org/miniconda.html>`__
+++`can be found here <https://conda.pydata.org/miniconda.html>`__
++
++ The next step is to create a new conda environment. A conda environment is like a
++ virtualenv that allows you to specify a specific version of Python and set of libraries.
++@@ -113,7 +113,7 @@ To install other packages, IPython for e
++
++ conda install ipython
++
++-To install the full `Anaconda <http://docs.continuum.io/anaconda/>`__
+++To install the full `Anaconda <https://docs.continuum.io/anaconda/>`__
++ distribution::
++
++ conda install anaconda
++@@ -153,10 +153,10 @@ To install pandas for Python 2, you may
++ :widths: 10, 10, 20, 50
++
++
++- Debian, stable, `official Debian repository <http://packages.debian.org/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
+++ Debian, stable, `official Debian repository <https://packages.debian.org/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
++ Debian & Ubuntu, unstable (latest packages), `NeuroDebian <http://neuro.debian.net/index.html#how-to-use-this-repository>`__ , ``sudo apt-get install python3-pandas``
++- Ubuntu, stable, `official Ubuntu repository <http://packages.ubuntu.com/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
++- OpenSuse, stable, `OpenSuse Repository <http://software.opensuse.org/package/python-pandas?search_term=pandas>`__ , ``zypper in python3-pandas``
+++ Ubuntu, stable, `official Ubuntu repository <https://packages.ubuntu.com/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
+++ OpenSuse, stable, `OpenSuse Repository <https://software.opensuse.org/package/python-pandas?search_term=pandas>`__ , ``zypper in python3-pandas``
++ Fedora, stable, `official Fedora repository <https://admin.fedoraproject.org/pkgdb/package/rpms/python-pandas/>`__ , ``dnf install python3-pandas``
++ Centos/RHEL, stable, `EPEL repository <https://admin.fedoraproject.org/pkgdb/package/rpms/python-pandas/>`__ , ``yum install python3-pandas``
++
++@@ -177,7 +177,7 @@ pandas is equipped with an exhaustive se
++ the code base as of this writing. To run it on your machine to verify that
++ everything is working (and that you have all of the dependencies, soft and hard,
++ installed), make sure you have `pytest
++-<http://docs.pytest.org/en/latest/>`__ >= 4.0.2 and `Hypothesis
+++<https://docs.pytest.org/en/latest/>`__ >= 4.0.2 and `Hypothesis
++ <https://hypothesis.readthedocs.io/>`__ >= 3.58, then run:
++
++ ::
++@@ -204,9 +204,9 @@ Dependencies
++ Package Minimum supported version
++ ================================================================ ==========================
++ `setuptools <https://setuptools.readthedocs.io/en/latest/>`__ 24.2.0
++-`NumPy <http://www.numpy.org>`__ 1.13.3
+++`NumPy <https://www.numpy.org>`__ 1.13.3
++ `python-dateutil <https://dateutil.readthedocs.io/en/stable/>`__ 2.6.1
++-`pytz <http://pytz.sourceforge.net/>`__ 2017.2
+++`pytz <https://pypi.org/project/pytz/>`__ 2017.2
++ ================================================================ ==========================
++
++ .. _install.recommended_dependencies:
++@@ -299,5 +299,5 @@ top-level :func:`~pandas.read_html` func
++ usage of the above three libraries.
++
++ .. _html5lib: https://github.com/html5lib/html5lib-python
++-.. _BeautifulSoup4: http://www.crummy.com/software/BeautifulSoup
++-.. _lxml: http://lxml.de
+++.. _BeautifulSoup4: https://www.crummy.com/software/BeautifulSoup
+++.. _lxml: https://lxml.de
++--- a/doc/source/getting_started/tutorials.rst
+++++ b/doc/source/getting_started/tutorials.rst
++@@ -23,12 +23,12 @@ Community guides
++ pandas Cookbook by Julia Evans
++ ------------------------------
++
++-The goal of this 2015 cookbook (by `Julia Evans <http://jvns.ca>`_) is to
+++The goal of this 2015 cookbook (by `Julia Evans <https://jvns.ca>`_) is to
++ give you some concrete examples for getting started with pandas. These
++ are examples with real-world data, and all the bugs and weirdness that
++ entails.
++ For the table of contents, see the `pandas-cookbook GitHub
++-repository <http://github.com/jvns/pandas-cookbook>`_.
+++repository <https://github.com/jvns/pandas-cookbook>`_.
++
++ Learn Pandas by Hernan Rojas
++ ----------------------------
++@@ -38,10 +38,10 @@ A set of lesson for new pandas users: ht
++ Practical data analysis with Python
++ -----------------------------------
++
++-This `guide <http://wavedatalab.github.io/datawithpython>`_ is an introduction to the data analysis process using the Python data ecosystem and an interesting open dataset.
++-There are four sections covering selected topics as `munging data <http://wavedatalab.github.io/datawithpython/munge.html>`__,
++-`aggregating data <http://wavedatalab.github.io/datawithpython/aggregate.html>`_, `visualizing data <http://wavedatalab.github.io/datawithpython/visualize.html>`_
++-and `time series <http://wavedatalab.github.io/datawithpython/timeseries.html>`_.
+++This `guide <https://wavedatalab.github.io/datawithpython>`_ is an introduction to the data analysis process using the Python data ecosystem and an interesting open dataset.
+++There are four sections covering selected topics as `munging data <https://wavedatalab.github.io/datawithpython/munge.html>`__,
+++`aggregating data <https://wavedatalab.github.io/datawithpython/aggregate.html>`_, `visualizing data <https://wavedatalab.github.io/datawithpython/visualize.html>`_
+++and `time series <https://wavedatalab.github.io/datawithpython/timeseries.html>`_.
++
++ .. _tutorial-exercises-new-users:
++
++@@ -61,13 +61,13 @@ Tutorial series written in 2016 by
++ The source may be found in the GitHub repository
++ `TomAugspurger/effective-pandas <https://github.com/TomAugspurger/effective-pandas>`_.
++
++-* `Modern Pandas <http://tomaugspurger.github.io/modern-1-intro.html>`_
++-* `Method Chaining <http://tomaugspurger.github.io/method-chaining.html>`_
++-* `Indexes <http://tomaugspurger.github.io/modern-3-indexes.html>`_
++-* `Performance <http://tomaugspurger.github.io/modern-4-performance.html>`_
++-* `Tidy Data <http://tomaugspurger.github.io/modern-5-tidy.html>`_
++-* `Visualization <http://tomaugspurger.github.io/modern-6-visualization.html>`_
++-* `Timeseries <http://tomaugspurger.github.io/modern-7-timeseries.html>`_
+++* `Modern Pandas <https://tomaugspurger.github.io/modern-1-intro.html>`_
+++* `Method Chaining <https://tomaugspurger.github.io/method-chaining.html>`_
+++* `Indexes <https://tomaugspurger.github.io/modern-3-indexes.html>`_
+++* `Performance <https://tomaugspurger.github.io/modern-4-performance.html>`_
+++* `Tidy Data <https://tomaugspurger.github.io/modern-5-tidy.html>`_
+++* `Visualization <https://tomaugspurger.github.io/modern-6-visualization.html>`_
+++* `Timeseries <https://tomaugspurger.github.io/modern-7-timeseries.html>`_
++
++ Excel charts with pandas, vincent and xlsxwriter
++ ------------------------------------------------
++@@ -89,21 +89,21 @@ Video tutorials
++ * `Data analysis in Python with pandas <https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y>`_
++ (2016-2018)
++ `GitHub repo <https://github.com/justmarkham/pandas-videos>`__ and
++- `Jupyter Notebook <http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas.ipynb>`__
+++ `Jupyter Notebook <https://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas.ipynb>`__
++ * `Best practices with pandas <https://www.youtube.com/playlist?list=PL5-da3qGB5IBITZj_dYSFqnd_15JgqwA6>`_
++ (2018)
++ `GitHub repo <https://github.com/justmarkham/pycon-2018-tutorial>`__ and
++- `Jupyter Notebook <http://nbviewer.jupyter.org/github/justmarkham/pycon-2018-tutorial/blob/master/tutorial.ipynb>`__
+++ `Jupyter Notebook <https://nbviewer.jupyter.org/github/justmarkham/pycon-2018-tutorial/blob/master/tutorial.ipynb>`__
++
++
++ Various tutorials
++ -----------------
++
++-* `Wes McKinney's (pandas BDFL) blog <http://blog.wesmckinney.com/>`_
+++* `Wes McKinney's (pandas BDFL) blog <https://wesmckinney.com/archives.html>`_
++ * `Statistical analysis made easy in Python with SciPy and pandas DataFrames, by Randal Olson <http://www.randalolson.com/2012/08/06/statistical-analysis-made-easy-in-python/>`_
++-* `Statistical Data Analysis in Python, tutorial videos, by Christopher Fonnesbeck from SciPy 2013 <http://conference.scipy.org/scipy2013/tutorial_detail.php?id=109>`_
++-* `Financial analysis in Python, by Thomas Wiecki <http://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb>`_
+++* `Statistical Data Analysis in Python, tutorial videos, by Christopher Fonnesbeck from SciPy 2013 <https://conference.scipy.org/scipy2013/tutorial_detail.php?id=109>`_
+++* `Financial analysis in Python, by Thomas Wiecki <https://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb>`_
++ * `Intro to pandas data structures, by Greg Reda <http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/>`_
++-* `Pandas and Python: Top 10, by Manish Amde <http://manishamde.github.io/blog/2013/03/07/pandas-and-python-top-10/>`_
++-* `Pandas DataFrames Tutorial, by Karlijn Willems <http://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python>`_
+++* `Pandas and Python: Top 10, by Manish Amde <https://manishamde.github.io/blog/2013/03/07/pandas-and-python-top-10/>`_
+++* `Pandas DataFrames Tutorial, by Karlijn Willems <https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python>`_
++ * `A concise tutorial with real life examples <https://tutswiki.com/pandas-cookbook/chapter1>`_
++--- a/doc/source/user_guide/computation.rst
+++++ b/doc/source/user_guide/computation.rst
++@@ -58,7 +58,7 @@ series in the DataFrame, also excluding
++ is not guaranteed to be positive semi-definite. This could lead to
++ estimated correlations having absolute values which are greater than one,
++ and/or a non-invertible covariance matrix. See `Estimation of covariance
++- matrices <http://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_matrices>`_
+++ matrices <https://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_matrices>`_
++ for more details.
++
++ .. ipython:: python
++@@ -963,5 +963,5 @@ are scaled by debiasing factors
++
++ (For :math:`w_i = 1`, this reduces to the usual :math:`N / (N - 1)` factor,
++ with :math:`N = t + 1`.)
++-See `Weighted Sample Variance <http://en.wikipedia.org/wiki/Weighted_arithmetic_mean#Weighted_sample_variance>`__
+++See `Weighted Sample Variance <https://en.wikipedia.org/wiki/Weighted_arithmetic_mean#Weighted_sample_variance>`__
++ on Wikipedia for further details.
++--- a/doc/source/user_guide/enhancingperf.rst
+++++ b/doc/source/user_guide/enhancingperf.rst
++@@ -20,7 +20,7 @@ Cython (writing C extensions for pandas)
++
++ For many use cases writing pandas in pure Python and NumPy is sufficient. In some
++ computationally heavy applications however, it can be possible to achieve sizable
++-speed-ups by offloading work to `cython <http://cython.org/>`__.
+++speed-ups by offloading work to `cython <https://cython.org/>`__.
++
++ This tutorial assumes you have refactored as much as possible in Python, for example
++ by trying to remove for-loops and making use of NumPy vectorization. It's always worth
++@@ -69,7 +69,7 @@ We achieve our result by using ``apply``
++
++ But clearly this isn't fast enough for us. Let's take a look and see where the
++ time is spent during this operation (limited to the most time consuming
++-four calls) using the `prun ipython magic function <http://ipython.org/ipython-doc/stable/api/generated/IPython.core.magics.execution.html#IPython.core.magics.execution.ExecutionMagics.prun>`__:
+++four calls) using the `prun ipython magic function <https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-prun>`__:
++
++ .. ipython:: python
++
++@@ -298,7 +298,7 @@ advanced Cython techniques:
++ Even faster, with the caveat that a bug in our Cython code (an off-by-one error,
++ for example) might cause a segfault because memory access isn't checked.
++ For more about ``boundscheck`` and ``wraparound``, see the Cython docs on
++-`compiler directives <http://cython.readthedocs.io/en/latest/src/reference/compilation.html?highlight=wraparound#compiler-directives>`__.
+++`compiler directives <https://cython.readthedocs.io/en/latest/src/reference/compilation.html?highlight=wraparound#compiler-directives>`__.
++
++ .. _enhancingperf.numba:
++
++@@ -423,9 +423,9 @@ prefer that Numba throw an error if it c
++ speeds up your code, pass Numba the argument
++ ``nopython=True`` (e.g. ``@numba.jit(nopython=True)``). For more on
++ troubleshooting Numba modes, see the `Numba troubleshooting page
++-<http://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#the-compiled-code-is-too-slow>`__.
+++<https://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#the-compiled-code-is-too-slow>`__.
++
++-Read more in the `Numba docs <http://numba.pydata.org/>`__.
+++Read more in the `Numba docs <https://numba.pydata.org/>`__.
++
++ .. _enhancingperf.eval:
++
++--- a/doc/source/user_guide/io.rst
+++++ b/doc/source/user_guide/io.rst
++@@ -4299,13 +4299,13 @@ control compression: ``complevel`` and `
++ - `zlib <https://zlib.net/>`_: The default compression library. A classic in terms of compression, achieves good compression rates but is somewhat slow.
++ - `lzo <https://www.oberhumer.com/opensource/lzo/>`_: Fast compression and decompression.
++ - `bzip2 <http://bzip.org/>`_: Good compression rates.
++- - `blosc <http://www.blosc.org/>`_: Fast compression and decompression.
+++ - `blosc <https://www.blosc.org/>`_: Fast compression and decompression.
++
++ .. versionadded:: 0.20.2
++
++ Support for alternative blosc compressors:
++
++- - `blosc:blosclz <http://www.blosc.org/>`_ This is the
+++ - `blosc:blosclz <https://www.blosc.org/>`_ This is the
++ default compressor for ``blosc``
++ - `blosc:lz4
++ <https://fastcompression.blogspot.dk/p/lz4.html>`_:
++--- a/doc/source/user_guide/missing_data.rst
+++++ b/doc/source/user_guide/missing_data.rst
++@@ -466,9 +466,9 @@ at the new values.
++ interp_s = ser.reindex(new_index).interpolate(method='pchip')
++ interp_s[49:51]
++
++-.. _scipy: http://www.scipy.org
++-.. _documentation: http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation
++-.. _guide: http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html
+++.. _scipy: https://www.scipy.org
+++.. _documentation: https://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation
+++.. _guide: https://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html
++
++ .. _missing_data.interp_limits:
++
++--- a/doc/source/user_guide/style.ipynb
+++++ b/doc/source/user_guide/style.ipynb
++@@ -10,7 +10,7 @@
++ "\n",
++ "<span style=\"color: red\">*Provisional: This is a new feature and still under development. We'll be adding features and possibly making breaking changes in future releases. We'd love to hear your feedback.*</span>\n",
++ "\n",
++- "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](http://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/style.ipynb).\n",
+++ "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](https://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/user_guide/style.ipynb).\n",
++ "\n",
++ "You can apply **conditional formatting**, the visual styling of a DataFrame\n",
++ "depending on the data within, by using the ``DataFrame.style`` property.\n",
++@@ -433,7 +433,7 @@
++ "cell_type": "markdown",
++ "metadata": {},
++ "source": [
++- "You can create \"heatmaps\" with the `background_gradient` method. These require matplotlib, and we'll use [Seaborn](http://stanford.edu/~mwaskom/software/seaborn/) to get a nice colormap."
+++ "You can create \"heatmaps\" with the `background_gradient` method. These require matplotlib, and we'll use [Seaborn](https://stanford.edu/~mwaskom/software/seaborn/) to get a nice colormap."
++ ]
++ },
++ {
++--- a/doc/source/user_guide/visualization.rst
+++++ b/doc/source/user_guide/visualization.rst
++@@ -264,7 +264,7 @@ horizontal and cumulative histograms can
++ plt.close('all')
++
++ See the :meth:`hist <matplotlib.axes.Axes.hist>` method and the
++-`matplotlib hist documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hist>`__ for more.
+++`matplotlib hist documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hist>`__ for more.
++
++
++ The existing interface ``DataFrame.hist`` to plot histogram still can be used.
++@@ -370,7 +370,7 @@ For example, horizontal and custom-posit
++
++
++ See the :meth:`boxplot <matplotlib.axes.Axes.boxplot>` method and the
++-`matplotlib boxplot documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.boxplot>`__ for more.
+++`matplotlib boxplot documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.boxplot>`__ for more.
++
++
++ The existing interface ``DataFrame.boxplot`` to plot boxplot still can be used.
++@@ -595,7 +595,7 @@ bubble chart using a column of the ``Dat
++ plt.close('all')
++
++ See the :meth:`scatter <matplotlib.axes.Axes.scatter>` method and the
++-`matplotlib scatter documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter>`__ for more.
+++`matplotlib scatter documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter>`__ for more.
++
++ .. _visualization.hexbin:
++
++@@ -655,7 +655,7 @@ given by column ``z``. The bins are aggr
++ plt.close('all')
++
++ See the :meth:`hexbin <matplotlib.axes.Axes.hexbin>` method and the
++-`matplotlib hexbin documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hexbin>`__ for more.
+++`matplotlib hexbin documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hexbin>`__ for more.
++
++ .. _visualization.pie:
++
++@@ -753,7 +753,7 @@ If you pass values whose sum total is le
++ @savefig series_pie_plot_semi.png
++ series.plot.pie(figsize=(6, 6))
++
++-See the `matplotlib pie documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie>`__ for more.
+++See the `matplotlib pie documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie>`__ for more.
++
++ .. ipython:: python
++ :suppress:
++@@ -1259,7 +1259,7 @@ tick locator methods, it is useful to ca
++ date tick adjustment from matplotlib for figures whose ticklabels overlap.
++
++ See the :meth:`autofmt_xdate <matplotlib.figure.autofmt_xdate>` method and the
++-`matplotlib documentation <http://matplotlib.org/users/recipes.html#fixing-common-date-annoyances>`__ for more.
+++`matplotlib documentation <https://matplotlib.org/users/recipes.html#fixing-common-date-annoyances>`__ for more.
++
++ Subplots
++ ~~~~~~~~
++@@ -1468,7 +1468,7 @@ as seen in the example below.
++ There also exists a helper function ``pandas.plotting.table``, which creates a
++ table from :class:`DataFrame` or :class:`Series`, and adds it to an
++ ``matplotlib.Axes`` instance. This function can accept keywords which the
++-matplotlib `table <http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ has.
+++matplotlib `table <https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ has.
++
++ .. ipython:: python
++
++@@ -1486,7 +1486,7 @@ matplotlib `table <http://matplotlib.org
++
++ plt.close('all')
++
++-**Note**: You can get table instances on the axes using ``axes.tables`` property for further decorations. See the `matplotlib table documentation <http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ for more.
+++**Note**: You can get table instances on the axes using ``axes.tables`` property for further decorations. See the `matplotlib table documentation <https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ for more.
++
++ .. _visualization.colormaps:
++
++@@ -1496,7 +1496,7 @@ Colormaps
++ A potential issue when plotting a large number of columns is that it can be
++ difficult to distinguish some series due to repetition in the default colors. To
++ remedy this, ``DataFrame`` plotting supports the use of the ``colormap`` argument,
++-which accepts either a Matplotlib `colormap <http://matplotlib.org/api/cm_api.html>`__
+++which accepts either a Matplotlib `colormap <https://matplotlib.org/api/cm_api.html>`__
++ or a string that is a name of a colormap registered with Matplotlib. A
++ visualization of the default matplotlib colormaps is available `here
++ <https://matplotlib.org/examples/color/colormaps_reference.html>`__.
++--- a/doc/source/whatsnew/index.rst
+++++ b/doc/source/whatsnew/index.rst
++@@ -7,7 +7,7 @@ Release Notes
++ *************
++
++ This is the list of changes to pandas between each release. For full details,
++-see the commit logs at http://github.com/pandas-dev/pandas. For install and
+++see the commit logs at https://github.com/pandas-dev/pandas. For install and
++ upgrade instructions, see :ref:`install`.
++
++ Version 0.25
++--- a/pandas/_libs/intervaltree.pxi.in
+++++ b/pandas/_libs/intervaltree.pxi.in
++@@ -21,7 +21,7 @@ cdef class IntervalTree(IntervalMixin):
++ """A centered interval tree
++
++ Based off the algorithm described on Wikipedia:
++- http://en.wikipedia.org/wiki/Interval_tree
+++ https://en.wikipedia.org/wiki/Interval_tree
++
++ we are emulating the IndexEngine interface
++ """
++--- a/pandas/_libs/src/klib/khash.h
+++++ b/pandas/_libs/src/klib/khash.h
++@@ -53,7 +53,7 @@ int main() {
++ speed for simple keys. Thank Zilong Tan for the suggestion. Reference:
++
++ - https://github.com/stefanocasazza/ULib
++- - http://nothings.org/computer/judy/
+++ - https://nothings.org/computer/judy/
++
++ * Allow to optionally use linear probing which usually has better
++ performance for random input. Double hashing is still the default as it
++--- a/pandas/_libs/src/skiplist.h
+++++ b/pandas/_libs/src/skiplist.h
++@@ -10,7 +10,7 @@ Flexibly-sized, index-able skiplist data
++ list of values
++
++ Port of Wes McKinney's Cython version of Raymond Hettinger's original pure
++-Python recipe (http://rhettinger.wordpress.com/2010/02/06/lost-knowledge/)
+++Python recipe (https://rhettinger.wordpress.com/2010/02/06/lost-knowledge/)
++ */
++
++ #ifndef PANDAS__LIBS_SRC_SKIPLIST_H_
++--- a/pandas/_libs/src/ujson/lib/ultrajson.h
+++++ b/pandas/_libs/src/ujson/lib/ultrajson.h
++@@ -30,7 +30,7 @@ https://github.com/client9/stringencoder
++ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
++
++ Numeric decoder derived from from TCL library
++-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+++https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
++ * Copyright (c) 1988-1993 The Regents of the University of California.
++ * Copyright (c) 1994 Sun Microsystems, Inc.
++ */
++--- a/pandas/_libs/src/ujson/lib/ultrajsondec.c
+++++ b/pandas/_libs/src/ujson/lib/ultrajsondec.c
++@@ -33,7 +33,7 @@ Copyright (c) 2007 Nick Galbreath -- ni
++ reserved.
++
++ Numeric decoder derived from from TCL library
++-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+++https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
++ * Copyright (c) 1988-1993 The Regents of the University of California.
++ * Copyright (c) 1994 Sun Microsystems, Inc.
++ */
++--- a/pandas/_libs/src/ujson/lib/ultrajsonenc.c
+++++ b/pandas/_libs/src/ujson/lib/ultrajsonenc.c
++@@ -33,7 +33,7 @@ Copyright (c) 2007 Nick Galbreath -- ni
++ reserved.
++
++ Numeric decoder derived from from TCL library
++-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+++https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
++ * Copyright (c) 1988-1993 The Regents of the University of California.
++ * Copyright (c) 1994 Sun Microsystems, Inc.
++ */
++--- a/pandas/_libs/src/ujson/python/JSONtoObj.c
+++++ b/pandas/_libs/src/ujson/python/JSONtoObj.c
++@@ -30,7 +30,7 @@ https://github.com/client9/stringencoder
++ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
++
++ Numeric decoder derived from from TCL library
++-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+++https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
++ * Copyright (c) 1988-1993 The Regents of the University of California.
++ * Copyright (c) 1994 Sun Microsystems, Inc.
++ */
++--- a/pandas/_libs/src/ujson/python/objToJSON.c
+++++ b/pandas/_libs/src/ujson/python/objToJSON.c
++@@ -30,7 +30,7 @@ https://github.com/client9/stringencoder
++ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
++
++ Numeric decoder derived from from TCL library
++-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+++https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
++ * Copyright (c) 1988-1993 The Regents of the University of California.
++ * Copyright (c) 1994 Sun Microsystems, Inc.
++ */
++--- a/pandas/_libs/src/ujson/python/ujson.c
+++++ b/pandas/_libs/src/ujson/python/ujson.c
++@@ -30,7 +30,7 @@ https://github.com/client9/stringencoder
++ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
++
++ Numeric decoder derived from from TCL library
++-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+++https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
++ * Copyright (c) 1988-1993 The Regents of the University of California.
++ * Copyright (c) 1994 Sun Microsystems, Inc.
++ */
++--- a/pandas/_libs/src/ujson/python/version.h
+++++ b/pandas/_libs/src/ujson/python/version.h
++@@ -30,7 +30,7 @@ https://github.com/client9/stringencoder
++ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
++
++ Numeric decoder derived from from TCL library
++-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+++https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
++ * Copyright (c) 1988-1993 The Regents of the University of California.
++ * Copyright (c) 1994 Sun Microsystems, Inc.
++ */
++--- a/pandas/_libs/tslibs/c_timestamp.pyx
+++++ b/pandas/_libs/tslibs/c_timestamp.pyx
++@@ -111,7 +111,7 @@ cdef class _Timestamp(datetime):
++
++ def __reduce_ex__(self, protocol):
++ # python 3.6 compat
++- # http://bugs.python.org/issue28730
+++ # https://bugs.python.org/issue28730
++ # now __reduce_ex__ is defined and higher priority than __reduce__
++ return self.__reduce__()
++
++--- a/pandas/_libs/tslibs/nattype.pyx
+++++ b/pandas/_libs/tslibs/nattype.pyx
++@@ -275,7 +275,7 @@ class NaTType(_NaT):
++
++ def __reduce_ex__(self, protocol):
++ # python 3.6 compat
++- # http://bugs.python.org/issue28730
+++ # https://bugs.python.org/issue28730
++ # now __reduce_ex__ is defined and higher priority than __reduce__
++ return self.__reduce__()
++
++--- a/pandas/core/accessor.py
+++++ b/pandas/core/accessor.py
++@@ -174,7 +174,7 @@ class CachedAccessor:
++ return self._accessor
++ accessor_obj = self._accessor(obj)
++ # Replace the property with the accessor object. Inspired by:
++- # http://www.pydanny.com/cached-property.html
+++ # https://www.pydanny.com/cached-property.html
++ # We need to use object.__setattr__ because we overwrite __setattr__ on
++ # NDFrame
++ object.__setattr__(obj, self._name, accessor_obj)
++--- a/pandas/core/arrays/datetimes.py
+++++ b/pandas/core/arrays/datetimes.py
++@@ -1745,7 +1745,7 @@ default 'raise'
++ """
++ Convert Datetime Array to float64 ndarray of Julian Dates.
++ 0 Julian date is noon January 1, 4713 BC.
++- http://en.wikipedia.org/wiki/Julian_day
+++ https://en.wikipedia.org/wiki/Julian_day
++ """
++
++ # http://mysite.verizon.net/aesir_research/date/jdalg2.htm
++--- a/pandas/core/frame.py
+++++ b/pandas/core/frame.py
++@@ -1448,9 +1448,9 @@ class DataFrame(NDFrame):
++ when getting user credentials.
++
++ .. _local webserver flow:
++- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
+++ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
++ .. _console flow:
++- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
+++ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
++
++ *New in version 0.2.0 of pandas-gbq*.
++ table_schema : list of dicts, optional
++@@ -3343,7 +3343,7 @@ class DataFrame(NDFrame):
++ * To select strings you must use the ``object`` dtype, but note that
++ this will return *all* object dtype columns
++ * See the `numpy dtype hierarchy
++- <http://docs.scipy.org/doc/numpy/reference/arrays.scalars.html>`__
+++ <https://docs.scipy.org/doc/numpy/reference/arrays.scalars.html>`__
++ * To select datetimes, use ``np.datetime64``, ``'datetime'`` or
++ ``'datetime64'``
++ * To select timedeltas, use ``np.timedelta64``, ``'timedelta'`` or
++@@ -7601,7 +7601,7 @@ class DataFrame(NDFrame):
++ semi-definite. This could lead to estimate correlations having
++ absolute values which are greater than one, and/or a non-invertible
++ covariance matrix. See `Estimation of covariance matrices
++- <http://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_
+++ <https://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_
++ matrices>`__ for more details.
++
++ Examples
++--- a/pandas/core/generic.py
+++++ b/pandas/core/generic.py
++@@ -2641,7 +2641,7 @@ class NDFrame(PandasObject, SelectionMix
++
++ References
++ ----------
++- .. [1] http://docs.sqlalchemy.org
+++ .. [1] https://docs.sqlalchemy.org
++ .. [2] https://www.python.org/dev/peps/pep-0249/
++
++ Examples
++@@ -2845,7 +2845,7 @@ class NDFrame(PandasObject, SelectionMix
++
++ Notes
++ -----
++- See the `xarray docs <http://xarray.pydata.org/en/stable/>`__
+++ See the `xarray docs <https://xarray.pydata.org/en/stable/>`__
++
++ Examples
++ --------
++@@ -6878,9 +6878,9 @@ class NDFrame(PandasObject, SelectionMix
++ similar names. These use the actual numerical values of the index.
++ For more information on their behavior, see the
++ `SciPy documentation
++- <http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__
+++ <https://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__
++ and `SciPy tutorial
++- <http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__.
+++ <https://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__.
++
++ Examples
++ --------
++--- a/pandas/io/formats/format.py
+++++ b/pandas/io/formats/format.py
++@@ -363,7 +363,7 @@ class EastAsianTextAdjustment(TextAdjust
++ self.ambiguous_width = 1
++
++ # Definition of East Asian Width
++- # http://unicode.org/reports/tr11/
+++ # https://unicode.org/reports/tr11/
++ # Ambiguous width can be changed by option
++ self._EAW_MAP = {"Na": 1, "N": 1, "W": 2, "F": 2, "H": 1}
++
++--- a/pandas/io/gbq.py
+++++ b/pandas/io/gbq.py
++@@ -58,9 +58,9 @@ def read_gbq(
++ when getting user credentials.
++
++ .. _local webserver flow:
++- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
+++ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
++ .. _console flow:
++- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
+++ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
++
++ *New in version 0.2.0 of pandas-gbq*.
++ dialect : str, default 'legacy'
++--- a/pandas/io/html.py
+++++ b/pandas/io/html.py
++@@ -983,7 +983,7 @@ def read_html(
++
++ is a valid attribute dictionary because the 'id' HTML tag attribute is
++ a valid HTML attribute for *any* HTML tag as per `this document
++- <http://www.w3.org/TR/html-markup/global-attributes.html>`__. ::
+++ <https://html.spec.whatwg.org/multipage/dom.html#global-attributes>`__. ::
++
++ attrs = {'asdf': 'table'}
++
++@@ -992,7 +992,7 @@ def read_html(
++ table attributes can be found `here
++ <http://www.w3.org/TR/REC-html40/struct/tables.html#h-11.2>`__. A
++ working draft of the HTML 5 spec can be found `here
++- <http://www.w3.org/TR/html-markup/table.html>`__. It contains the
+++ <https://html.spec.whatwg.org/multipage/tables.html>`__. It contains the
++ latest information on table attributes for the modern web.
++
++ parse_dates : bool, optional
++--- a/pandas/io/json/_table_schema.py
+++++ b/pandas/io/json/_table_schema.py
++@@ -1,7 +1,7 @@
++ """
++ Table Schema builders
++
++-http://specs.frictionlessdata.io/json-table-schema/
+++https://specs.frictionlessdata.io/json-table-schema/
++ """
++ import warnings
++
++--- a/pandas/io/stata.py
+++++ b/pandas/io/stata.py
++@@ -7,7 +7,7 @@ project who also developed the StataWrit
++ a once again improved version.
++
++ You can find more information on http://presbrey.mit.edu/PyDTA and
++-http://www.statsmodels.org/devel/
+++https://www.statsmodels.org/devel/
++ """
++
++ from collections import OrderedDict
++@@ -248,7 +248,7 @@ stata_epoch = datetime.datetime(1960, 1,
++
++ def _stata_elapsed_date_to_datetime_vec(dates, fmt):
++ """
++- Convert from SIF to datetime. http://www.stata.com/help.cgi?datetime
+++ Convert from SIF to datetime. https://www.stata.com/help.cgi?datetime
++
++ Parameters
++ ----------
++@@ -413,7 +413,7 @@ def _stata_elapsed_date_to_datetime_vec(
++
++ def _datetime_to_stata_elapsed_vec(dates, fmt):
++ """
++- Convert from datetime to SIF. http://www.stata.com/help.cgi?datetime
+++ Convert from datetime to SIF. https://www.stata.com/help.cgi?datetime
++
++ Parameters
++ ----------
++@@ -788,7 +788,7 @@ class StataMissingValue:
++
++ Notes
++ -----
++- More information: <http://www.stata.com/help.cgi?missing>
+++ More information: <https://www.stata.com/help.cgi?missing>
++
++ Integer missing values make the code '.', '.a', ..., '.z' to the ranges
++ 101 ... 127 (for int8), 32741 ... 32767 (for int16) and 2147483621 ...
++--- a/pandas/plotting/_misc.py
+++++ b/pandas/plotting/_misc.py
++@@ -154,7 +154,7 @@ def radviz(frame, class_column, ax=None,
++ influence of all dimensions.
++
++ More info available at the `original article
++- <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.889>`_
+++ <https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.889>`_
++ describing RadViz.
++
++ Parameters
++--- a/pandas/tests/indexes/multi/test_analytics.py
+++++ b/pandas/tests/indexes/multi/test_analytics.py
++@@ -326,7 +326,7 @@ def test_map_dictlike(idx, mapper):
++ )
++ def test_numpy_ufuncs(idx, func):
++ # test ufuncs of numpy. see:
++- # http://docs.scipy.org/doc/numpy/reference/ufuncs.html
+++ # https://docs.scipy.org/doc/numpy/reference/ufuncs.html
++
++ if _np_version_under1p17:
++ expected_exception = AttributeError
++--- a/pandas/tests/indexes/test_numpy_compat.py
+++++ b/pandas/tests/indexes/test_numpy_compat.py
++@@ -44,7 +44,7 @@ from pandas.util import testing as tm
++ )
++ def test_numpy_ufuncs_basic(indices, func):
++ # test ufuncs of numpy, see:
++- # http://docs.scipy.org/doc/numpy/reference/ufuncs.html
+++ # https://docs.scipy.org/doc/numpy/reference/ufuncs.html
++
++ idx = indices
++ if isinstance(idx, DatetimeIndexOpsMixin):
++@@ -75,7 +75,7 @@ def test_numpy_ufuncs_basic(indices, fun
++ )
++ def test_numpy_ufuncs_other(indices, func):
++ # test ufuncs of numpy, see:
++- # http://docs.scipy.org/doc/numpy/reference/ufuncs.html
+++ # https://docs.scipy.org/doc/numpy/reference/ufuncs.html
++
++ idx = indices
++ if isinstance(idx, (DatetimeIndex, TimedeltaIndex)):
++--- a/pandas/tests/tseries/offsets/test_fiscal.py
+++++ b/pandas/tests/tseries/offsets/test_fiscal.py
++@@ -92,7 +92,7 @@ class TestFY5253LastOfMonth(Base):
++
++ on_offset_cases = [
++ # From Wikipedia (see:
++- # http://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar#Last_Saturday_of_the_month_at_fiscal_year_end)
+++ # https://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar#Last_Saturday_of_the_month_at_fiscal_year_end)
++ (offset_lom_sat_aug, datetime(2006, 8, 26), True),
++ (offset_lom_sat_aug, datetime(2007, 8, 25), True),
++ (offset_lom_sat_aug, datetime(2008, 8, 30), True),
++@@ -205,7 +205,7 @@ class TestFY5253NearestEndMonth(Base):
++
++ on_offset_cases = [
++ # From Wikipedia (see:
++- # http://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar
+++ # https://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar
++ # #Saturday_nearest_the_end_of_month)
++ # 2006-09-02 2006 September 2
++ # 2007-09-01 2007 September 1
++--- a/pandas/tseries/offsets.py
+++++ b/pandas/tseries/offsets.py
++@@ -2049,7 +2049,7 @@ class FY5253(DateOffset):
++ such as retail, manufacturing and parking industry.
++
++ For more information see:
++- http://en.wikipedia.org/wiki/4-4-5_calendar
+++ https://en.wikipedia.org/wiki/4-4-5_calendar
++
++ The year may either:
++ - end on the last X day of the Y month.
++@@ -2252,7 +2252,7 @@ class FY5253Quarter(DateOffset):
++ such as retail, manufacturing and parking industry.
++
++ For more information see:
++- http://en.wikipedia.org/wiki/4-4-5_calendar
+++ https://en.wikipedia.org/wiki/4-4-5_calendar
++
++ The year may either:
++ - end on the last X day of the Y month.
++--- a/pandas/util/_decorators.py
+++++ b/pandas/util/_decorators.py
++@@ -241,7 +241,7 @@ def rewrite_axis_style_signature(
++
++
++ # Substitution and Appender are derived from matplotlib.docstring (1.1.0)
++-# module http://matplotlib.org/users/license.html
+++# module https://matplotlib.org/users/license.html
++
++
++ class Substitution:
++--- a/setup.py
+++++ b/setup.py
++@@ -58,7 +58,7 @@ except ImportError:
++
++ # The import of Extension must be after the import of Cython, otherwise
++ # we do not get the appropriately patched class.
++-# See https://cython.readthedocs.io/en/latest/src/reference/compilation.html
+++# See https://cython.readthedocs.io/en/latest/src/userguide/source_files_and_compilation.html
++ from distutils.extension import Extension # noqa:E402
++ from distutils.command.build import build # noqa:E402
++
++--- a/versioneer.py
+++++ b/versioneer.py
++@@ -1678,7 +1678,7 @@ def do_setup():
++ except EnvironmentError:
++ pass
++ # That doesn't cover everything MANIFEST.in can do
++- # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
+++ # (https://docs.python.org/2/distutils/sourcedist.html#commands), so
++ # it might give some false negatives. Appending redundant 'include'
++ # lines is safe, though.
++ if "versioneer.py" not in simple_includes:
--- /dev/null
--- /dev/null
++Author: Andreas Tille <tille@debian.org>
++Description: Use Debian packaged mathjax
++
++--- a/doc/source/conf.py
+++++ b/doc/source/conf.py
++@@ -67,6 +67,8 @@ extensions = [
++ "contributors", # custom pandas extension
++ ]
++
+++mathjax_path="MathJax.js"
+++
++ exclude_patterns = ["**.ipynb_checkpoints"]
++ try:
++ import nbconvert
--- /dev/null
--- /dev/null
++Description: Matplotlib 3.3 compatibility fixups
++
++Author: Tom Augspurger, Saul Shanabrook, Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/966393
++Origin: (partly) upstream commits 41022a8 + 00ea10c
++Forwarded: no
++
++--- a/pandas/util/_test_decorators.py
+++++ b/pandas/util/_test_decorators.py
++@@ -77,7 +77,7 @@ def safe_import(mod_name, min_version=No
++ def _skip_if_no_mpl():
++ mod = safe_import("matplotlib")
++ if mod:
++- mod.use("Agg", warn=True)
+++ mod.use("Agg")
++ else:
++ return True
++
++--- a/pandas/plotting/_matplotlib/boxplot.py
+++++ b/pandas/plotting/_matplotlib/boxplot.py
++@@ -265,6 +265,11 @@ def boxplot(
++ if fontsize is not None:
++ ax.tick_params(axis="both", labelsize=fontsize)
++ if kwds.get("vert", 1):
+++ ticks = ax.get_xticks()
+++ if len(ticks) != len(keys):
+++ i, remainder = divmod(len(ticks), len(keys))
+++ assert remainder == 0, remainder
+++ keys *= i
++ ax.set_xticklabels(keys, rotation=rot)
++ else:
++ ax.set_yticklabels(keys, rotation=rot)
++--- a/pandas/plotting/_matplotlib/compat.py
+++++ b/pandas/plotting/_matplotlib/compat.py
++@@ -20,3 +20,4 @@ def _mpl_version(version, op):
++ _mpl_ge_2_2_3 = _mpl_version("2.2.3", operator.ge)
++ _mpl_ge_3_0_0 = _mpl_version("3.0.0", operator.ge)
++ _mpl_ge_3_1_0 = _mpl_version("3.1.0", operator.ge)
+++_mpl_ge_3_3_0 = _mpl_version("3.3.0", operator.ge)
++--- a/pandas/plotting/_matplotlib/converter.py
+++++ b/pandas/plotting/_matplotlib/converter.py
++@@ -14,7 +14,6 @@ from pandas._libs.tslibs import resoluti
++ from pandas._libs.tslibs.frequencies import FreqGroup, get_freq
++
++ from pandas.core.dtypes.common import (
++- is_datetime64_ns_dtype,
++ is_float,
++ is_float_dtype,
++ is_integer,
++@@ -235,19 +234,6 @@ def get_datevalue(date, freq):
++ raise ValueError("Unrecognizable date '{date}'".format(date=date))
++
++
++-def _dt_to_float_ordinal(dt):
++- """
++- Convert :mod:`datetime` to the Gregorian date as UTC float days,
++- preserving hours, minutes, seconds and microseconds. Return value
++- is a :func:`float`.
++- """
++- if isinstance(dt, (np.ndarray, Index, ABCSeries)) and is_datetime64_ns_dtype(dt):
++- base = dates.epoch2num(dt.asi8 / 1.0e9)
++- else:
++- base = dates.date2num(dt)
++- return base
++-
++-
++ # Datetime Conversion
++ class DatetimeConverter(dates.DateConverter):
++ @staticmethod
++@@ -264,15 +250,11 @@ class DatetimeConverter(dates.DateConver
++ def _convert_1d(values, unit, axis):
++ def try_parse(values):
++ try:
++- return _dt_to_float_ordinal(tools.to_datetime(values))
+++ return dates.date2num(tools.to_datetime(values))
++ except Exception:
++ return values
++
++- if isinstance(values, (datetime, pydt.date)):
++- return _dt_to_float_ordinal(values)
++- elif isinstance(values, np.datetime64):
++- return _dt_to_float_ordinal(tslibs.Timestamp(values))
++- elif isinstance(values, pydt.time):
+++ if isinstance(values, (datetime, pydt.date, np.datetime64, pydt.time)):
++ return dates.date2num(values)
++ elif is_integer(values) or is_float(values):
++ return values
++@@ -293,12 +275,10 @@ class DatetimeConverter(dates.DateConver
++
++ try:
++ values = tools.to_datetime(values)
++- if isinstance(values, Index):
++- values = _dt_to_float_ordinal(values)
++- else:
++- values = [_dt_to_float_ordinal(x) for x in values]
++ except Exception:
++- values = _dt_to_float_ordinal(values)
+++ pass
+++
+++ values = dates.date2num(values)
++
++ return values
++
++@@ -421,8 +401,8 @@ class MilliSecondLocator(dates.DateLocat
++
++ freq = "%dL" % self._get_interval()
++ tz = self.tz.tzname(None)
++- st = _from_ordinal(dates.date2num(dmin)) # strip tz
++- ed = _from_ordinal(dates.date2num(dmax))
+++ st = dmin.replace(tzinfo=None)
+++ ed = dmin.replace(tzinfo=None)
++ all_dates = date_range(start=st, end=ed, freq=freq, tz=tz).astype(object)
++
++ try:
++--- a/pandas/tests/plotting/test_converter.py
+++++ b/pandas/tests/plotting/test_converter.py
++@@ -26,6 +26,7 @@ except ImportError:
++ pass
++
++ pytest.importorskip("matplotlib.pyplot")
+++dates = pytest.importorskip("matplotlib.dates")
++
++
++ def test_initial_warning():
++@@ -189,7 +190,7 @@ class TestDateTimeConverter:
++
++ def test_conversion(self):
++ rs = self.dtc.convert(["2012-1-1"], None, None)[0]
++- xp = datetime(2012, 1, 1).toordinal()
+++ xp = dates.date2num(datetime(2012, 1, 1))
++ assert rs == xp
++
++ rs = self.dtc.convert("2012-1-1", None, None)
++@@ -198,9 +199,6 @@ class TestDateTimeConverter:
++ rs = self.dtc.convert(date(2012, 1, 1), None, None)
++ assert rs == xp
++
++- rs = self.dtc.convert(datetime(2012, 1, 1).toordinal(), None, None)
++- assert rs == xp
++-
++ rs = self.dtc.convert("2012-1-1", None, None)
++ assert rs == xp
++
++--- a/pandas/tests/plotting/test_datetimelike.py
+++++ b/pandas/tests/plotting/test_datetimelike.py
++@@ -338,7 +338,7 @@ class TestTSPlot(TestPlotBase):
++ bts = tm.makePeriodSeries()
++ _, ax = self.plt.subplots()
++ bts.plot(ax=ax)
++- assert ax.get_lines()[0].get_xydata()[0, 0] == bts.index[0].ordinal
+++
++ idx = ax.get_lines()[0].get_xdata()
++ assert PeriodIndex(data=idx).freqstr == "B"
++
++@@ -1319,6 +1319,8 @@ class TestTSPlot(TestPlotBase):
++ @pytest.mark.slow
++ def test_irregular_ts_shared_ax_xlim(self):
++ # GH 2960
+++ from pandas.plotting._matplotlib.converter import DatetimeConverter
+++
++ ts = tm.makeTimeSeries()[:20]
++ ts_irregular = ts[[1, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 17, 18]]
++
++@@ -1329,8 +1331,8 @@ class TestTSPlot(TestPlotBase):
++
++ # check that axis limits are correct
++ left, right = ax.get_xlim()
++- assert left <= ts_irregular.index.min().toordinal()
++- assert right >= ts_irregular.index.max().toordinal()
+++ assert left <= DatetimeConverter.convert(ts_irregular.index.min(), "", ax)
+++ assert right >= DatetimeConverter.convert(ts_irregular.index.max(), "", ax)
++
++ @pytest.mark.slow
++ def test_secondary_y_non_ts_xlim(self):
++@@ -1385,6 +1387,8 @@ class TestTSPlot(TestPlotBase):
++ @pytest.mark.slow
++ def test_secondary_y_irregular_ts_xlim(self):
++ # GH 3490 - irregular-timeseries with secondary y
+++ from pandas.plotting._matplotlib.converter import DatetimeConverter
+++
++ ts = tm.makeTimeSeries()[:20]
++ ts_irregular = ts[[1, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 17, 18]]
++
++@@ -1396,8 +1400,8 @@ class TestTSPlot(TestPlotBase):
++ ts_irregular[:5].plot(ax=ax)
++
++ left, right = ax.get_xlim()
++- assert left <= ts_irregular.index.min().toordinal()
++- assert right >= ts_irregular.index.max().toordinal()
+++ assert left <= DatetimeConverter.convert(ts_irregular.index.min(), "", ax)
+++ assert right >= DatetimeConverter.convert(ts_irregular.index.max(), "", ax)
++
++ def test_plot_outofbounds_datetime(self):
++ # 2579 - checking this does not raise
++@@ -1501,7 +1505,7 @@ class TestTSPlot(TestPlotBase):
++ s2.plot(ax=ax)
++ s1.plot(ax=ax)
++
++- @pytest.mark.xfail(reason="GH9053 matplotlib does not use ax.xaxis.converter")
+++ @pytest.mark.xfail(reason="GH9053 matplotlib does not use ax.xaxis.converter", strict=False)
++ def test_add_matplotlib_datetime64(self):
++ # GH9053 - ensure that a plot with PeriodConverter still understands
++ # datetime64 data. This still fails because matplotlib overrides the
++--- a/pandas/tests/plotting/test_frame.py
+++++ b/pandas/tests/plotting/test_frame.py
++@@ -1509,6 +1509,7 @@ class TestDataFramePlots(TestPlotBase):
++ ax.xaxis.get_ticklocs(), np.arange(1, len(numeric_cols) + 1)
++ )
++ assert len(ax.lines) == self.bp_n_objects * len(numeric_cols)
+++ tm.close()
++
++ axes = series.plot.box(rot=40)
++ self._check_ticks_props(axes, xrot=40, yrot=0)
++--- a/pandas/tests/plotting/test_series.py
+++++ b/pandas/tests/plotting/test_series.py
++@@ -267,12 +267,14 @@ class TestSeriesPlots(TestPlotBase):
++ self._check_ticks_props(axes, xrot=30)
++
++ def test_irregular_datetime(self):
+++ from pandas.plotting._matplotlib.converter import DatetimeConverter
+++
++ rng = date_range("1/1/2000", "3/1/2000")
++ rng = rng[[0, 1, 2, 3, 5, 9, 10, 11, 12]]
++ ser = Series(randn(len(rng)), rng)
++ _, ax = self.plt.subplots()
++ ax = ser.plot(ax=ax)
++- xp = datetime(1999, 1, 1).toordinal()
+++ xp = DatetimeConverter.convert(datetime(1999, 1, 1), "", ax)
++ ax.set_xlim("1/1/1999", "1/1/2001")
++ assert xp == ax.get_xlim()[0]
++
++@@ -677,11 +679,13 @@ class TestSeriesPlots(TestPlotBase):
++ kinds = (
++ plotting.PlotAccessor._common_kinds + plotting.PlotAccessor._series_kinds
++ )
++- _, ax = self.plt.subplots()
++ for kind in kinds:
++-
+++ _, ax = self.plt.subplots()
++ s.plot(kind=kind, ax=ax)
+++ self.plt.close()
+++ _, ax = self.plt.subplots()
++ getattr(s.plot, kind)()
+++ self.plt.close()
++
++ @pytest.mark.slow
++ def test_invalid_plot_data(self):
--- /dev/null
--- /dev/null
++Description: Be compatible with numpy 1.18
++
++Fix NaT sort order
++Don't assume isinf/isnan fail on datetimes
++
++Origin: upstream f85502531806df4f3c0233edffe9460f3ee26031 + 0c0adfbc291fc1b1e9afad592f5275e783ffd0b0
++Author: jbrockmendel, Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/958531
++
++--- a/pandas/core/indexes/datetimelike.py
+++++ b/pandas/core/indexes/datetimelike.py
++@@ -262,7 +262,10 @@ class DatetimeIndexOpsMixin(ExtensionOps
++ sorted_index = self.take(_as)
++ return sorted_index, _as
++ else:
++- sorted_values = np.sort(self._ndarray_values)
+++ # NB: using asi8 instead of _ndarray_values matters in numpy 1.18
+++ # because the treatment of NaT has been changed to put NaT last
+++ # instead of first.
+++ sorted_values = np.sort(self.asi8)
++ attribs = self._get_attributes_dict()
++ freq = attribs["freq"]
++
++--- a/pandas/__init__.py
+++++ b/pandas/__init__.py
++@@ -24,6 +24,7 @@ from pandas.compat.numpy import (
++ _np_version_under1p15,
++ _np_version_under1p16,
++ _np_version_under1p17,
+++ _np_version_under1p18,
++ )
++
++ try:
++--- a/pandas/tests/api/test_api.py
+++++ b/pandas/tests/api/test_api.py
++@@ -187,6 +187,7 @@ class TestPDApi(Base):
++ "_np_version_under1p15",
++ "_np_version_under1p16",
++ "_np_version_under1p17",
+++ "_np_version_under1p18",
++ "_tslib",
++ "_typing",
++ # not in Debian "_version",
++--- a/pandas/tests/indexes/test_numpy_compat.py
+++++ b/pandas/tests/indexes/test_numpy_compat.py
++@@ -6,9 +6,11 @@ from pandas import (
++ Float64Index,
++ Index,
++ Int64Index,
+++ PeriodIndex,
++ TimedeltaIndex,
++ UInt64Index,
++ _np_version_under1p17,
+++ _np_version_under1p18,
++ )
++ from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin
++ from pandas.util import testing as tm
++@@ -80,18 +82,22 @@ def test_numpy_ufuncs_other(indices, fun
++ idx = indices
++ if isinstance(idx, (DatetimeIndex, TimedeltaIndex)):
++
++- # ok under numpy >= 1.17
++- if not _np_version_under1p17 and func in [np.isfinite]:
+++ if not _np_version_under1p18 and func in [np.isfinite, np.isinf, np.isnan]:
+++ # numpy 1.18(dev) changed isinf and isnan to not raise on dt64/tfd64
+++ result = func(idx)
+++ assert isinstance(result, np.ndarray)
+++
+++ elif not _np_version_under1p17 and func in [np.isfinite]:
+++ # ok under numpy >= 1.17
++ # Results in bool array
++ result = func(idx)
++ assert isinstance(result, np.ndarray)
++- assert not isinstance(result, Index)
++ else:
++ # raise TypeError or ValueError (PeriodIndex)
++ with pytest.raises(Exception):
++ func(idx)
++
++- elif isinstance(idx, DatetimeIndexOpsMixin):
+++ elif isinstance(idx, PeriodIndex):
++ # raise TypeError or ValueError (PeriodIndex)
++ with pytest.raises(Exception):
++ func(idx)
--- /dev/null
--- /dev/null
++Description: Don't fail with Numpy 1.19
++
++Creating a nested DataFrame (which was already not recommended)
++via the constructor no longer works.
++Give a clearer error and xfail the tests.
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug: https://github.com/pandas-dev/pandas/issues/32289
++Forwarded: no
++
++--- pandas-1.0.4+dfsg.orig/pandas/core/internals/construction.py
+++++ pandas-1.0.4+dfsg/pandas/core/internals/construction.py
++@@ -292,7 +292,7 @@ def prep_ndarray(values, copy=True) -> n
++ if values.ndim == 1:
++ values = values.reshape((values.shape[0], 1))
++ elif values.ndim != 2:
++- raise ValueError("Must pass 2-d input")
+++ raise ValueError("Plain DataFrames must be 2-d - for higher dimensions use MultiIndex or the python3-xarray package. If you are trying to create a nested DataFrame (which is not recommended) see https://github.com/pandas-dev/pandas/issues/32289")
++
++ return values
++
++--- pandas-1.0.4+dfsg.orig/pandas/tests/frame/test_constructors.py
+++++ pandas-1.0.4+dfsg/pandas/tests/frame/test_constructors.py
++@@ -145,6 +145,7 @@ class TestDataFrameConstructors:
++ assert df.loc[1, 0] is None
++ assert df.loc[0, 1] == "2"
++
+++ @pytest.mark.xfail(condition=True,strict=False,raises=ValueError, reason="Interprets list of frame as 3D, https://github.com/pandas-dev/pandas/issues/32289")
++ def test_constructor_list_frames(self):
++ # see gh-3243
++ result = DataFrame([DataFrame()])
++@@ -477,7 +477,7 @@ class TestDataFrameConstructors:
++ DataFrame(index=[0], columns=range(0, 4), data=arr)
++
++ # higher dim raise exception
++- with pytest.raises(ValueError, match="Must pass 2-d input"):
+++ with pytest.raises(ValueError, match="Plain DataFrames must be 2-d"):
++ DataFrame(np.zeros((3, 3, 3)), columns=["A", "B", "C"], index=[1])
++
++ # wrong size axis labels
++@@ -498,6 +498,7 @@ class TestDataFrameConstructors:
++ with pytest.raises(ValueError, match=msg):
++ DataFrame({"a": False, "b": True})
++
+++ @pytest.mark.xfail(condition=True,strict=False,raises=ValueError, reason="Interprets embedded frame as 3D, https://github.com/pandas-dev/pandas/issues/32289")
++ def test_constructor_with_embedded_frames(self):
++
++ # embedded data frames
++@@ -764,7 +764,7 @@ class TestDataFrameConstructors:
++ DataFrame(mat, columns=["A", "B"], index=[1, 2])
++
++ # higher dim raise exception
++- with pytest.raises(ValueError, match="Must pass 2-d input"):
+++ with pytest.raises(ValueError, match="Plain DataFrames must be 2-d"):
++ DataFrame(empty((3, 3, 3)), columns=["A", "B", "C"], index=[1])
++
++ # automatic labeling
--- /dev/null
--- /dev/null
++Description: Fix test failures with numpy 1.19
++
++Remove use of no-longer-existing constant
++(and replace by its value on Python 3)
++Don't pass dtype to np.datetime64
++Ignore deprecations and error message rewordings
++
++Author: jbrockmendel, Ali McMaster, Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Origin: partly upstream
++Bug-Debian: https://bugs.debian.org/963817
++Forwarded: not-needed
++
++diff --git a/pandas/tests/scalar/timedelta/test_arithmetic.py b/pandas/tests/scalar/timedelta/test_arithmetic.py
++index ce08a47f8..5fc991df4 100644
++--- a/pandas/tests/scalar/timedelta/test_arithmetic.py
+++++ b/pandas/tests/scalar/timedelta/test_arithmetic.py
++@@ -498,7 +498,7 @@ class TestTimedeltaMultiplicationDivision:
++ # GH#18846
++ td = Timedelta(hours=3, minutes=3)
++
++- dt64 = np.datetime64("2016-01-01", dtype="datetime64[us]")
+++ dt64 = np.datetime64("2016-01-01", "us")
++ with pytest.raises(TypeError):
++ td.__rfloordiv__(dt64)
++
++diff --git a/pandas/tests/scalar/timestamp/test_timestamp.py b/pandas/tests/scalar/timestamp/test_timestamp.py
++index e9c0ee12f..692eb6cd8 100644
++--- a/pandas/tests/scalar/timestamp/test_timestamp.py
+++++ b/pandas/tests/scalar/timestamp/test_timestamp.py
++@@ -565,7 +565,7 @@ class TestTimestampConstructors:
++
++ for date_string in out_of_bounds_dates:
++ for unit in time_units:
++- dt64 = np.datetime64(date_string, dtype="M8[{unit}]".format(unit=unit))
+++ dt64 = np.datetime64(date_string, unit)
++ with pytest.raises(ValueError):
++ Timestamp(dt64)
++
++@@ -573,7 +573,7 @@ class TestTimestampConstructors:
++
++ for date_string in in_bounds_dates:
++ for unit in time_units:
++- dt64 = np.datetime64(date_string, dtype="M8[{unit}]".format(unit=unit))
+++ dt64 = np.datetime64(date_string, unit)
++ Timestamp(dt64)
++
++ def test_min_valid(self):
++--- a/pandas/_libs/src/ujson/python/objToJSON.c
+++++ b/pandas/_libs/src/ujson/python/objToJSON.c
++@@ -176,9 +176,9 @@ void *initObjToJSON(void)
++ Py_DECREF(mod_nattype);
++ }
++
++- /* Initialise numpy API and use 2/3 compatible return */
+++ /* Initialise numpy API */
++ import_array();
++- return NUMPY_IMPORT_ARRAY_RETVAL;
+++ return NULL;
++ }
++
++ static TypeContext *createTypeContext(void) {
++--- a/pandas/util/testing.py
+++++ b/pandas/util/testing.py
++@@ -2692,6 +2693,8 @@ def assert_produces_warning(
++ continue
++ if actual_warning.category==DeprecationWarning and ('jedi' in actual_warning.filename or 'IPython' in actual_warning.filename):
++ continue
+++ if actual_warning.category==np.VisibleDeprecationWarning and "Creating an ndarray from ragged nested sequences" in str(actual_warning.message):
+++ continue
++ extra_warnings.append(
++ (
++ actual_warning.category.__name__,
++--- pandas-0.25.3+dfsg2.orig/pandas/tests/dtypes/test_dtypes.py
+++++ pandas-0.25.3+dfsg2/pandas/tests/dtypes/test_dtypes.py
++@@ -46,7 +46,7 @@ class Base:
++ assert not is_dtype_equal(self.dtype, np.int64)
++
++ def test_numpy_informed(self):
++- with pytest.raises(TypeError, match="data type not understood"):
+++ with pytest.raises(TypeError, match="data type not understood|Cannot interpret .* as a data type"):
++ np.dtype(self.dtype)
++
++ assert not self.dtype == np.str_
++--- pandas-0.25.3+dfsg2.orig/pandas/tests/frame/test_convert_to.py
+++++ pandas-0.25.3+dfsg2/pandas/tests/frame/test_convert_to.py
++@@ -320,7 +320,7 @@ class TestDataFrameConvertTo(TestData):
++ # Check that bad types raise
++ (
++ dict(index=False, column_dtypes={"A": "int32", "B": "foo"}),
++- (TypeError, 'data type "foo" not understood'),
+++ (TypeError, 'data type .foo. not understood'),
++ ),
++ ],
++ )
++--- pandas-0.25.3+dfsg2.orig/pandas/tests/indexes/multi/test_analytics.py
+++++ pandas-0.25.3+dfsg2/pandas/tests/indexes/multi/test_analytics.py
++@@ -218,7 +218,7 @@ def test_take_fill_value():
++ with pytest.raises(ValueError, match=msg):
++ idx.take(np.array([1, 0, -5]), fill_value=True)
++
++- msg = "index -5 is out of bounds for size 4"
+++ msg = "index -5 is out of bounds for.* size 4"
++ with pytest.raises(IndexError, match=msg):
++ idx.take(np.array([1, -5]))
++
++--- pandas-0.25.3+dfsg2.orig/pandas/tests/indexes/period/test_indexing.py
+++++ pandas-0.25.3+dfsg2/pandas/tests/indexes/period/test_indexing.py
++@@ -342,7 +342,7 @@ class TestTake:
++ with pytest.raises(ValueError, match=msg):
++ idx.take(np.array([1, 0, -5]), fill_value=True)
++
++- msg = "index -5 is out of bounds for size 3"
+++ msg = "index -5 is out of bounds for.* size 3"
++ with pytest.raises(IndexError, match=msg):
++ idx.take(np.array([1, -5]))
++
++--- pandas-0.25.3+dfsg2.orig/pandas/tests/series/indexing/test_indexing.py
+++++ pandas-0.25.3+dfsg2/pandas/tests/series/indexing/test_indexing.py
++@@ -855,7 +855,7 @@ def test_take():
++ expected = Series([4, 2, 4], index=[4, 3, 4])
++ tm.assert_series_equal(actual, expected)
++
++- msg = "index {} is out of bounds for size 5"
+++ msg = "index {} is out of bounds for.* size 5"
++ with pytest.raises(IndexError, match=msg.format(10)):
++ s.take([1, 10])
++ with pytest.raises(IndexError, match=msg.format(5)):
++--- pandas-0.25.3+dfsg2.orig/pandas/tests/sparse/series/test_series.py
+++++ pandas-0.25.3+dfsg2/pandas/tests/sparse/series/test_series.py
++@@ -520,7 +520,7 @@ class TestSparseSeries(SharedWithSparse)
++
++ self._check_all(_compare_with_dense)
++
++- msg = "index 21 is out of bounds for size 20"
+++ msg = "index 21 is out of bounds for.* size 20"
++ with pytest.raises(IndexError, match=msg):
++ self.bseries.take([0, len(self.bseries) + 1])
++
++--- a/pandas/tests/io/test_packers.py
+++++ b/pandas/tests/io/test_packers.py
++@@ -714,6 +714,7 @@ class TestCompression(TestPackers):
++
++ with catch_warnings():
++ filterwarnings("ignore", category=FutureWarning)
+++ filterwarnings("ignore", category=DeprecationWarning)
++ i_rec = self.encode_decode(self.frame, compress=compress)
++ for k in self.frame.keys():
++
++@@ -755,6 +756,7 @@ class TestCompression(TestPackers):
++ with tm.assert_produces_warning(None):
++ with catch_warnings():
++ filterwarnings("ignore", category=FutureWarning)
+++ filterwarnings("ignore", category=DeprecationWarning)
++ empty_unpacked = self.encode_decode(empty, compress=compress)
++
++ tm.assert_numpy_array_equal(empty_unpacked, empty)
++@@ -764,6 +766,7 @@ class TestCompression(TestPackers):
++ with tm.assert_produces_warning(None):
++ with catch_warnings():
++ filterwarnings("ignore", category=FutureWarning)
+++ filterwarnings("ignore", category=DeprecationWarning)
++ char_unpacked = self.encode_decode(char, compress=compress)
++
++ tm.assert_numpy_array_equal(char_unpacked, char)
--- /dev/null
--- /dev/null
++Description: Skip feather tests if pyarrow not available
++
++pandas now needs pyarrow.feather (not in Debian),
++not python3-feather-format, for read_feather/to_feather
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- a/pandas/tests/io/test_common.py
+++++ b/pandas/tests/io/test_common.py
++@@ -138,7 +138,7 @@ bar2,12,13,14,15
++ (pd.read_csv, "os", FileNotFoundError, "csv"),
++ (pd.read_fwf, "os", FileNotFoundError, "txt"),
++ (pd.read_excel, "xlrd", FileNotFoundError, "xlsx"),
++- (pd.read_feather, "feather", Exception, "feather"),
+++ (pd.read_feather, "pyarrow", Exception, "feather"),
++ (pd.read_hdf, "tables", FileNotFoundError, "h5"),
++ (pd.read_stata, "os", FileNotFoundError, "dta"),
++ (pd.read_sas, "os", FileNotFoundError, "sas7bdat"),
++@@ -173,7 +173,7 @@ bar2,12,13,14,15
++ (pd.read_table, "os", FileNotFoundError, "csv"),
++ (pd.read_fwf, "os", FileNotFoundError, "txt"),
++ (pd.read_excel, "xlrd", FileNotFoundError, "xlsx"),
++- (pd.read_feather, "feather", Exception, "feather"),
+++ (pd.read_feather, "pyarrow", Exception, "feather"),
++ (pd.read_hdf, "tables", FileNotFoundError, "h5"),
++ (pd.read_stata, "os", FileNotFoundError, "dta"),
++ (pd.read_sas, "os", FileNotFoundError, "sas7bdat"),
++@@ -213,7 +213,7 @@ bar2,12,13,14,15
++ (pd.read_table, "os", ("io", "data", "iris.csv")),
++ (pd.read_fwf, "os", ("io", "data", "fixed_width_format.txt")),
++ (pd.read_excel, "xlrd", ("io", "data", "test1.xlsx")),
++- (pd.read_feather, "feather", ("io", "data", "feather-0_3_1.feather")),
+++ (pd.read_feather, "pyarrow", ("io", "data", "feather-0_3_1.feather")),
++ pytest.param(
++ pd.read_hdf,
++ "tables",
++@@ -245,7 +245,7 @@ bar2,12,13,14,15
++ [
++ ("to_csv", {}, "os"),
++ ("to_excel", {"engine": "xlwt"}, "xlwt"),
++- ("to_feather", {}, "feather"),
+++ ("to_feather", {}, "pyarrow"),
++ ("to_html", {}, "os"),
++ ("to_json", {}, "os"),
++ ("to_latex", {}, "os"),
--- /dev/null
--- /dev/null
++Description: Remove code from Stack Overflow
++
++Stack Overflow content is CC-BY-SA licensed,
++which this package is not supposed to be. These snippets may be
++too small to be copyrightable, but removing them to be safe.
++
++https://lists.debian.org/debian-legal/2020/04/threads.html#00018
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no - deletes some tests/examples without replacement
++
++--- /dev/null
+++++ b/doc/source/user_guide/cookbook.rst
++@@ -0,0 +1,22 @@
+++.. _cookbook:
+++
+++{{ header }}
+++
+++.. _cookbook.idioms:
+++.. _cookbook.selection:
+++.. _cookbook.multi_index:
+++.. _cookbook.missing_data:
+++.. _cookbook.grouping:
+++.. _cookbook.pivot:
+++.. _cookbook.resample:
+++.. _cookbook.merge:
+++.. _cookbook.plotting:
+++.. _cookbook.csv:
+++.. _cookbook.csv.multiple_files:
+++.. _cookbook.sql:
+++.. _cookbook.excel:
+++.. _cookbook.html:
+++.. _cookbook.hdf:
+++.. _cookbook.binary:
+++
+++This page has been removed for copyright reasons.
++--- a/doc/source/user_guide/index.rst
+++++ b/doc/source/user_guide/index.rst
++@@ -40,4 +40,3 @@ Further information on any specific meth
++ enhancingperf
++ sparse
++ gotchas
++- cookbook
++--- a/pandas/io/sql.py
+++++ b/pandas/io/sql.py
++@@ -1406,14 +1406,14 @@ def _get_valid_sqlite_name(name):
++ # Replace all " with "".
++ # Wrap the entire thing in double quotes.
++
++- uname = _get_unicode_name(name)
++- if not len(uname):
+++ name = _get_unicode_name(name)
+++ if not len(name):
++ raise ValueError("Empty table or column name specified")
++
++- nul_index = uname.find("\x00")
++- if nul_index >= 0:
+++ if '\0' in name:
++ raise ValueError("SQLite identifier cannot contain NULs")
++- return '"' + uname.replace('"', '""') + '"'
+++ name = name.replace('"', '""')
+++ return '"' + name + '"'
++
++
++ _SAFE_NAMES_WARNING = (
++--- a/pandas/tests/groupby/aggregate/test_other.py
+++++ b/pandas/tests/groupby/aggregate/test_other.py
++@@ -25,30 +25,6 @@ import pandas.util.testing as tm
++ from pandas.io.formats.printing import pprint_thing
++
++
++-def test_agg_api():
++- # GH 6337
++- # http://stackoverflow.com/questions/21706030/pandas-groupby-agg-function-column-dtype-error
++- # different api for agg when passed custom function with mixed frame
++-
++- df = DataFrame(
++- {
++- "data1": np.random.randn(5),
++- "data2": np.random.randn(5),
++- "key1": ["a", "a", "b", "b", "a"],
++- "key2": ["one", "two", "one", "two", "one"],
++- }
++- )
++- grouped = df.groupby("key1")
++-
++- def peak_to_peak(arr):
++- return arr.max() - arr.min()
++-
++- expected = grouped.agg([peak_to_peak])
++- expected.columns = ["data1", "data2"]
++- result = grouped.agg(peak_to_peak)
++- tm.assert_frame_equal(result, expected)
++-
++-
++ def test_agg_datetimes_mixed():
++ data = [[1, "2012-01-01", 1.0], [2, "2012-01-02", 2.0], [3, None, 3.0]]
++
++--- a/pandas/tests/groupby/test_categorical.py
+++++ b/pandas/tests/groupby/test_categorical.py
++@@ -782,27 +782,6 @@ def test_categorical_no_compress():
++ tm.assert_numpy_array_equal(result, exp)
++
++
++-def test_sort():
++-
++- # http://stackoverflow.com/questions/23814368/sorting-pandas-categorical-labels-after-groupby # noqa: E501
++- # This should result in a properly sorted Series so that the plot
++- # has a sorted x axis
++- # self.cat.groupby(['value_group'])['value_group'].count().plot(kind='bar')
++-
++- df = DataFrame({"value": np.random.randint(0, 10000, 100)})
++- labels = ["{0} - {1}".format(i, i + 499) for i in range(0, 10000, 500)]
++- cat_labels = Categorical(labels, labels)
++-
++- df = df.sort_values(by=["value"], ascending=True)
++- df["value_group"] = pd.cut(
++- df.value, range(0, 10500, 500), right=False, labels=cat_labels
++- )
++-
++- res = df.groupby(["value_group"], observed=False)["value_group"].count()
++- exp = res[sorted(res.index, key=lambda x: float(x.split()[0]))]
++- exp.index = CategoricalIndex(exp.index, name=exp.index.name)
++- tm.assert_series_equal(res, exp)
++-
++
++ def test_sort2():
++ # dataframe groupby sort was being ignored # GH 8868
++--- a/pandas/tests/indexing/multiindex/test_chaining_and_caching.py
+++++ b/pandas/tests/indexing/multiindex/test_chaining_and_caching.py
++@@ -6,26 +6,6 @@ from pandas.core import common as com
++ import pandas.util.testing as tm
++
++
++-def test_detect_chained_assignment():
++- # Inplace ops, originally from:
++- # http://stackoverflow.com/questions/20508968/series-fillna-in-a-multiindex-dataframe-does-not-fill-is-this-a-bug
++- a = [12, 23]
++- b = [123, None]
++- c = [1234, 2345]
++- d = [12345, 23456]
++- tuples = [("eyes", "left"), ("eyes", "right"), ("ears", "left"), ("ears", "right")]
++- events = {
++- ("eyes", "left"): a,
++- ("eyes", "right"): b,
++- ("ears", "left"): c,
++- ("ears", "right"): d,
++- }
++- multiind = MultiIndex.from_tuples(tuples, names=["part", "side"])
++- zed = DataFrame(events, index=["a", "b"], columns=multiind)
++-
++- with pytest.raises(com.SettingWithCopyError):
++- zed["eyes"]["right"].fillna(value=555, inplace=True)
++-
++
++ def test_cache_updating():
++ # 5216
++--- a/pandas/tests/indexing/multiindex/test_setitem.py
+++++ b/pandas/tests/indexing/multiindex/test_setitem.py
++@@ -161,35 +161,6 @@ class TestMultiIndexSetItem:
++ with pytest.raises(TypeError):
++ df.loc["bar"] *= 2
++
++- # from SO
++- # http://stackoverflow.com/questions/24572040/pandas-access-the-level-of-multiindex-for-inplace-operation
++- df_orig = DataFrame.from_dict(
++- {
++- "price": {
++- ("DE", "Coal", "Stock"): 2,
++- ("DE", "Gas", "Stock"): 4,
++- ("DE", "Elec", "Demand"): 1,
++- ("FR", "Gas", "Stock"): 5,
++- ("FR", "Solar", "SupIm"): 0,
++- ("FR", "Wind", "SupIm"): 0,
++- }
++- }
++- )
++- df_orig.index = MultiIndex.from_tuples(
++- df_orig.index, names=["Sit", "Com", "Type"]
++- )
++-
++- expected = df_orig.copy()
++- expected.iloc[[0, 2, 3]] *= 2
++-
++- idx = pd.IndexSlice
++- df = df_orig.copy()
++- df.loc[idx[:, :, "Stock"], :] *= 2
++- tm.assert_frame_equal(df, expected)
++-
++- df = df_orig.copy()
++- df.loc[idx[:, :, "Stock"], "price"] *= 2
++- tm.assert_frame_equal(df, expected)
++
++ def test_multiindex_assignment(self):
++
++--- a/pandas/tests/indexing/test_chaining_and_caching.py
+++++ b/pandas/tests/indexing/test_chaining_and_caching.py
++@@ -272,13 +272,6 @@ class TestChaining:
++ df["column1"] = df["column1"] + "c"
++ str(df)
++
++- # from SO:
++- # http://stackoverflow.com/questions/24054495/potential-bug-setting-value-for-undefined-column-using-iloc
++- df = DataFrame(np.arange(0, 9), columns=["count"])
++- df["group"] = "b"
++-
++- with pytest.raises(com.SettingWithCopyError):
++- df.iloc[0:5]["group"] = "a"
++
++ # Mixed type setting but same dtype & changing dtype
++ df = DataFrame(
++--- a/pandas/tests/io/parser/test_common.py
+++++ b/pandas/tests/io/parser/test_common.py
++@@ -1132,25 +1132,6 @@ def test_trailing_delimiters(all_parsers
++ tm.assert_frame_equal(result, expected)
++
++
++-def test_escapechar(all_parsers):
++- # http://stackoverflow.com/questions/13824840/feature-request-for-
++- # pandas-read-csv
++- data = '''SEARCH_TERM,ACTUAL_URL
++-"bra tv bord","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"
++-"tv p\xc3\xa5 hjul","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"
++-"SLAGBORD, \\"Bergslagen\\", IKEA:s 1700-tals serie","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"''' # noqa
++-
++- parser = all_parsers
++- result = parser.read_csv(
++- StringIO(data), escapechar="\\", quotechar='"', encoding="utf-8"
++- )
++-
++- assert result["SEARCH_TERM"][2] == (
++- 'SLAGBORD, "Bergslagen", ' "IKEA:s 1700-tals serie"
++- )
++- tm.assert_index_equal(result.columns, Index(["SEARCH_TERM", "ACTUAL_URL"]))
++-
++-
++ def test_int64_min_issues(all_parsers):
++ # see gh-2599
++ parser = all_parsers
++--- a/pandas/tests/indexing/test_ix.py
+++++ b/pandas/tests/indexing/test_ix.py
++@@ -181,19 +181,6 @@ class TestIX:
++ result2 = s.loc[0:3]
++ tm.assert_series_equal(result1, result2)
++
++- def test_ix_weird_slicing(self):
++- # http://stackoverflow.com/q/17056560/1240268
++- df = DataFrame({"one": [1, 2, 3, np.nan, np.nan], "two": [1, 2, 3, 4, 5]})
++- df.loc[df["one"] > 1, "two"] = -df["two"]
++-
++- expected = DataFrame(
++- {
++- "one": {0: 1.0, 1: 2.0, 2: 3.0, 3: np.nan, 4: np.nan},
++- "two": {0: 1, 1: -2, 2: -3, 3: 4, 4: 5},
++- }
++- )
++- tm.assert_frame_equal(df, expected)
++-
++ def test_ix_assign_column_mixed(self, float_frame):
++ # GH #1142
++ df = float_frame
--- /dev/null
--- /dev/null
++deb_nonversioneer_version
++deb_doc_donotoverride_PYTHONPATH
++xfail_tests_nonintel_io.patch
++deb_disable_googleanalytics
++deb_no_strict_data
++mathjax-path.patch
++deb_ndsphinx_optional
++xfail_tests_nonintel_nannat.patch
++# Try to skip -- migth have been addressed upstream
++# deb_skip_test_pytables_failure
++# up_buggy_overflows
++# 858260.patch
++# does not apply to 0.22 but kept around since next one might have it
++# up_tst_dont_assert_that_a_bug_exists_in_numpy
++
++# lintian: patch-file-present-but-not-mentioned-in-series
++# Don't remove this comment, so that we can avoid a lintian warning.
++# This patch is conditionally applied via d/rules.
++# 0001-TST-pytest-deprecation-warnings-GH17197-17253-reversed.patch
++skip_tests_copyright.patch
++skip_noencoding_locales.patch
++use_system_intersphinx.patch
++spelling.patch
++fix_shebangs.patch
++pyarrow_feather.patch
++contributor_list_not_in_tarball.patch
++tests_dont_assume_endian.patch
++fix_random_seeds.patch
++ignore_matplotlib_warning.patch
++find_test_data.patch
++link_security.patch
++xfail_tests_404.patch
++fix_is_warnings.patch
++remove_ccbysa_snippets.patch
++numpy118_compat.patch
++numpy119_compat.patch
++hurd_compat.patch
++numpy119_compat2.patch
++matplotlib33_compat.patch
++968208_rounding.patch
--- /dev/null
--- /dev/null
++Description: Don't test datetime in locales with no encoding
++
++Some datetime tests run the test in every available locale.
++If this set includes locales without an encoding (currently dsb_DE
++and sah_RU), it fails due to Python bug
++https://bugs.python.org/issue20088
++
++Failure log
++https://tests.reproducible-builds.org/debian/rbuild/buster/amd64/pandas_0.23.3+dfsg-3.rbuild.log.gz
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug: https://github.com/pandas-dev/pandas/issues/20957
++Forwarded: no
++
++--- a/pandas/_config/localization.py
+++++ b/pandas/_config/localization.py
++@@ -105,6 +105,8 @@ def _default_locale_getter():
++ "{exception}, the 'locale -a' command cannot be found "
++ "on your system".format(exception=e)
++ )
+++ # skip locales without encoding, to avoid Python bug https://bugs.python.org/issue20088
+++ raw_locales = raw_locales.replace(b'\ndsb_DE\n',b'\n').replace(b'\nsah_RU\n',b'\n').replace(b'\ncrh_UA\n',b'\n')
++ return raw_locales
++
++
--- /dev/null
--- /dev/null
++Description: Skip tests removed for copyright reasons
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- a/pandas/tests/io/test_html.py
+++++ b/pandas/tests/io/test_html.py
++@@ -374,6 +374,7 @@ class TestReadHtml:
++ assert sorted(zz) == sorted(["Repo", "What"])
++
++ @pytest.mark.slow
+++ @pytest.mark.skip(reason='test data removed for copyright reasons')
++ def test_thousands_macau_stats(self, datapath):
++ all_non_nan_table_index = -2
++ macau_data = datapath("io", "data", "macau.html")
++@@ -383,6 +384,7 @@ class TestReadHtml:
++ assert not any(s.isna().any() for _, s in df.items())
++
++ @pytest.mark.slow
+++ @pytest.mark.skip(reason='test data removed for copyright reasons')
++ def test_thousands_macau_index_col(self, datapath):
++ all_non_nan_table_index = -2
++ macau_data = datapath("io", "data", "macau.html")
++@@ -565,6 +567,7 @@ class TestReadHtml:
++
++ tm.assert_frame_equal(result, expected)
++
+++ @pytest.mark.skip(reason='test data removed for copyright reasons')
++ def test_nyse_wsj_commas_table(self, datapath):
++ data = datapath("io", "data", "nyse_wsj.html")
++ df = self.read_html(data, index_col=0, header=0, attrs={"class": "mdcTable"})[0]
++@@ -888,6 +891,7 @@ class TestReadHtml:
++ newdf = DataFrame({"datetime": raw_dates})
++ tm.assert_frame_equal(newdf, res[0])
++
+++ @pytest.mark.skip(reason='test data removed for copyright reasons')
++ def test_computer_sales_page(self, datapath):
++ data = datapath("io", "data", "computer_sales_page.html")
++ msg = (
--- /dev/null
--- /dev/null
++Description: Fix typos
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Origin: lintian
++Forwarded: no
++
++--- a/pandas/_libs/lib.pyx
+++++ b/pandas/_libs/lib.pyx
++@@ -510,7 +510,7 @@ def maybe_booleans_to_slice(ndarray[uint
++ @cython.wraparound(False)
++ @cython.boundscheck(False)
++ def array_equivalent_object(left: object[:], right: object[:]) -> bool:
++- """ perform an element by element comparion on 1-d object arrays
+++ """ perform an element by element comparison on 1-d object arrays
++ taking into account nan positions """
++ cdef:
++ Py_ssize_t i, n = left.shape[0]
++--- a/pandas/_libs/tslibs/timestamps.pyx
+++++ b/pandas/_libs/tslibs/timestamps.pyx
++@@ -595,7 +595,7 @@ default 'raise'
++ @property
++ def dayofweek(self):
++ """
++- Return day of whe week.
+++ Return day of the week.
++ """
++ return self.weekday()
++
--- /dev/null
--- /dev/null
++Description: Fix or skip tests that assume the wrong endianness
++
++This is a bug in the tests not pandas itself -
++the expected values explicitly specify little-endian
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- a/pandas/tests/frame/test_convert_to.py
+++++ b/pandas/tests/frame/test_convert_to.py
++@@ -15,6 +15,7 @@ from pandas import (
++ )
++ from pandas.tests.frame.common import TestData
++ import pandas.util.testing as tm
+++from pandas.compat import is_platform_little_endian
++
++
++ class TestDataFrameConvertTo(TestData):
++@@ -323,6 +324,7 @@ class TestDataFrameConvertTo(TestData):
++ ),
++ ],
++ )
+++ @pytest.mark.xfail(condition=not is_platform_little_endian(),reason="expected values assume little-endian",strict=False)
++ def test_to_records_dtype(self, kwargs, expected):
++ # see gh-18146
++ df = DataFrame({"A": [1, 2], "B": [0.2, 1.5], "C": ["a", "bc"]})
++@@ -396,11 +398,13 @@ class TestDataFrameConvertTo(TestData):
++ ),
++ ],
++ )
+++ @pytest.mark.xfail(condition=not is_platform_little_endian(),reason="expected values assume little-endian",strict=False)
++ def test_to_records_dtype_mi(self, df, kwargs, expected):
++ # see gh-18146
++ result = df.to_records(**kwargs)
++ tm.assert_almost_equal(result, expected)
++
+++ @pytest.mark.xfail(condition=not is_platform_little_endian(),reason="expected values assume little-endian",strict=False)
++ def test_to_records_dict_like(self):
++ # see gh-18146
++ class DictLike:
++--- a/pandas/tests/indexes/timedeltas/test_arithmetic.py
+++++ b/pandas/tests/indexes/timedeltas/test_arithmetic.py
++@@ -234,7 +234,7 @@ class TestTimedeltaIndexArithmetic:
++ tm.assert_numpy_array_equal(np.array([2]) * td, expected)
++ msg = (
++ "ufunc '?multiply'? cannot use operands with types"
++- r" dtype\('<m8\[ns\]'\) and dtype\('<m8\[ns\]'\)"
+++ r" dtype\('[<>]m8\[ns\]'\) and dtype\('[<>]m8\[ns\]'\)"
++ )
++ with pytest.raises(TypeError, match=msg):
++ td * other
++--- a/pandas/tests/io/parser/test_c_parser_only.py
+++++ b/pandas/tests/io/parser/test_c_parser_only.py
++@@ -129,7 +129,7 @@ nan 2
++ "the dtype timedelta64 is not supported for parsing",
++ dict(dtype={"A": "timedelta64", "B": "float64"}),
++ ),
++- ("the dtype <U8 is not supported for parsing", dict(dtype={"A": "U8"})),
+++ ("the dtype [<>]U8 is not supported for parsing", dict(dtype={"A": "U8"})),
++ ],
++ ids=["dt64-0", "dt64-1", "td64", "<U8"],
++ )
--- /dev/null
--- /dev/null
++From: Yaroslav Halchenko <debian@onerussian.com>
++Subject: avoid overflows for now
++ Due to a bug in current numpy beta (or numexpr) tests would fail
++ if operation on int leads to overflows (e.g. of pow operation).
++
++ as a workaround for now -- avoid big ints
++
++Origin: Debian
++Bug: https://github.com/pandas-dev/pandas/issues/15046
++Last-Update: 2017-01-04
++
++--- a/pandas/tests/test_expressions.py
+++++ b/pandas/tests/test_expressions.py
++@@ -40,7 +40,7 @@ _mixed2 = DataFrame({'A': _frame2['A'].c
++ 'C': _frame2['C'].astype('int64'),
++ 'D': _frame2['D'].astype('int32')})
++ _integer = DataFrame(
++- np.random.randint(1, 100,
+++ np.random.randint(1, 10,
++ size=(10001, 4)), columns=list('ABCD'), dtype='int64')
++ _integer2 = DataFrame(np.random.randint(1, 100, size=(101, 4)),
++ columns=list('ABCD'), dtype='int64')
--- /dev/null
--- /dev/null
++From 5f2b96bb637f6ddeec169c5ef8ad20013a03c853 Mon Sep 17 00:00:00 2001
++From: Eric Wieser <wieser.eric@gmail.com>
++Date: Sat, 15 Jul 2017 13:30:03 +0100
++Subject: [PATCH] TST: Don't assert that a bug exists in numpy (#16940)
++
++Better to ignore the warning from the bug, rather than assert the bug is still there
++
++After this change, numpy/numpy#9412 _could_ be backported to fix the bug
++---
++ pandas/tests/test_algos.py | 3 ++-
++ 1 file changed, 2 insertions(+), 1 deletion(-)
++
++diff --git a/pandas/tests/test_algos.py b/pandas/tests/test_algos.py
++index 9504d2a9426..993dcc4f527 100644
++--- a/pandas/tests/test_algos.py
+++++ b/pandas/tests/test_algos.py
++@@ -2,6 +2,7 @@
++
++ import numpy as np
++ import pytest
+++import warnings
++
++ from numpy.random import RandomState
++ from numpy import nan
++@@ -127,7 +128,7 @@ def test_unsortable(self):
++ arr = np.array([1, 2, datetime.now(), 0, 3], dtype=object)
++ if compat.PY2 and not pd._np_version_under1p10:
++ # RuntimeWarning: tp_compare didn't return -1 or -2 for exception
++- with tm.assert_produces_warning(RuntimeWarning):
+++ with warnings.catch_warnings():
++ pytest.raises(TypeError, algos.safe_sort, arr)
++ else:
++ pytest.raises(TypeError, algos.safe_sort, arr)
--- /dev/null
--- /dev/null
++Description: Use packaged intersphinx indexes, and use https links
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/876417
++Forwarded: no
++
++--- a/doc/source/conf.py
+++++ b/doc/source/conf.py
++@@ -409,13 +409,13 @@ latex_documents = [
++ if pattern is None:
++ intersphinx_mapping = {
++ "dateutil": ("https://dateutil.readthedocs.io/en/latest/", None),
++- "matplotlib": ("https://matplotlib.org/", None),
++- "numpy": ("https://docs.scipy.org/doc/numpy/", None),
++- "pandas-gbq": ("https://pandas-gbq.readthedocs.io/en/latest/", None),
++- "py": ("https://pylib.readthedocs.io/en/latest/", None),
++- "python": ("https://docs.python.org/3/", None),
++- "scipy": ("https://docs.scipy.org/doc/scipy/reference/", None),
++- "statsmodels": ("http://www.statsmodels.org/devel/", None),
+++ "matplotlib": ("https://matplotlib.org/", "/usr/share/doc/python-matplotlib-doc/html/objects.inv"),
+++ "numpy": ("https://docs.scipy.org/doc/numpy/", "/usr/share/doc/python-numpy-doc/html/objects.inv"),
+++ "pandas-gbq": ("https://pandas-gbq.readthedocs.io/en/latest/", None), # not in Debian
+++ "py": ("https://pylib.readthedocs.io/en/latest/", None), # no -doc in Debian
+++ "python": ("https://docs.python.org/3/", "/usr/share/doc/python3-doc/html/objects.inv"),
+++ "scipy": ("https://docs.scipy.org/doc/scipy/reference/", ("/usr/share/doc/python-scipy-doc/html/objects.inv","/usr/share/doc/python-scipy/html/objects.inv")),
+++ "statsmodels": ("https://www.statsmodels.org/devel/", "/usr/share/doc/python-statsmodels-doc/html/objects.inv"),
++ }
++
++ # extlinks alias
--- /dev/null
--- /dev/null
++Description: Xfail tests using non-functioning URLs
++
++Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Forwarded: no
++
++--- pandas-0.25.3+dfsg.orig/pandas/tests/io/excel/test_readers.py
+++++ pandas-0.25.3+dfsg/pandas/tests/io/excel/test_readers.py
++@@ -499,6 +499,7 @@ class TestReaders:
++ pd.read_excel("", engine=bad_engine)
++
++ @tm.network
+++ @pytest.mark.xfail(condition=True,reason="404 URL",strict=False)
++ def test_read_from_http_url(self, read_ext):
++ if read_ext == ".ods": # TODO: remove once on master
++ pytest.skip()
++--- pandas-0.25.3+dfsg.orig/pandas/tests/io/test_html.py
+++++ pandas-0.25.3+dfsg/pandas/tests/io/test_html.py
++@@ -132,6 +132,7 @@ class TestReadHtml:
++ assert_framelist_equal(df1, df2)
++
++ @network
+++ @pytest.mark.xfail(condition=True,reason="404 URL",strict=False)
++ def test_spam_url(self):
++ url = (
++ "https://raw.githubusercontent.com/pandas-dev/pandas/master/"
--- /dev/null
--- /dev/null
++Description: HDF5 and Stata I/O are broken on some architectures
++
++Fix some issues, warn on use and xfail tests for the remainder
++
++HDF5 known to fail on s390x, Stata on s390x and ppc64el (in 1.0.0),
++but not all architectures have been checked yet
++
++In 0.25.3 HDF5 _crashes_ on armhf, so skip
++(pytest-forked allows continuing past a crash,
++but still seems to fail on xfailed crashes)
++
++Author: Andreas Tille <tille@debian.org>, Graham Inggs <ginggs@debian.org>, Yaroslav Halchenko <debian@onerussian.com>, Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/877419
++
++--- a/pandas/io/pytables.py
+++++ b/pandas/io/pytables.py
++@@ -11,6 +11,10 @@ import re
++ import time
++ from typing import List, Optional, Type, Union
++ import warnings
+++import platform
+++import re
+++from pandas.compat import is_platform_little_endian
+++warn_hdf_platform = "Non-x86 system detected, HDF(5) format I/O may give wrong results - https://bugs.debian.org/877419" if not bool(re.match('i.?86|x86',platform.uname()[4])) else False
++
++ import numpy as np
++
++@@ -477,6 +480,8 @@ class HDFStore:
++ def __init__(
++ self, path, mode=None, complevel=None, complib=None, fletcher32=False, **kwargs
++ ):
+++ if warn_hdf_platform:
+++ warnings.warn(warn_hdf_platform)
++
++ if "format" in kwargs:
++ raise ValueError("format is not a defined argument for HDFStore")
++@@ -724,7 +730,10 @@ class HDFStore:
++ self._handle.flush()
++ if fsync:
++ try:
++- os.fsync(self._handle.fileno())
+++ if is_platform_little_endian():
+++ os.fsync(self._handle.fileno())
+++ else:
+++ os.sync() # due to a pytables bad-cast bug, fileno is invalid on 64-bit big-endian
++ except OSError:
++ pass
++
++--- a/pandas/io/stata.py
+++++ b/pandas/io/stata.py
++@@ -17,6 +17,9 @@ import os
++ import struct
++ import sys
++ import warnings
+++import platform
+++import re
+++warn_stata_platform = "Non-x86 system detected, Stata format I/O may give wrong results - https://bugs.debian.org/877419" if not bool(re.match('i.?86|x86',platform.uname()[4])) else False
++
++ from dateutil.relativedelta import relativedelta
++ import numpy as np
++@@ -911,6 +914,8 @@ class StataParser:
++ # NOTE: the byte type seems to be reserved for categorical variables
++ # with a label, but the underlying variable is -127 to 100
++ # we're going to drop the label and cast to int
+++ if warn_stata_platform:
+++ warnings.warn(warn_stata_platform)
++ self.DTYPE_MAP = dict(
++ list(zip(range(1, 245), ["a" + str(i) for i in range(1, 245)]))
++ + [
++--- a/pandas/tests/io/test_common.py
+++++ b/pandas/tests/io/test_common.py
++@@ -8,6 +8,7 @@ import os
++ import pytest
++
++ from pandas.compat import is_platform_windows
+++from pandas.compat import is_platform_little_endian
++ import pandas.util._test_decorators as td
++
++ import pandas as pd
++@@ -213,10 +214,10 @@ bar2,12,13,14,15
++ (pd.read_fwf, "os", ("io", "data", "fixed_width_format.txt")),
++ (pd.read_excel, "xlrd", ("io", "data", "test1.xlsx")),
++ (pd.read_feather, "feather", ("io", "data", "feather-0_3_1.feather")),
++- (
+++ pytest.param(
++ pd.read_hdf,
++ "tables",
++- ("io", "data", "legacy_hdf", "datetimetz_object.h5"),
+++ ("io", "data", "legacy_hdf", "datetimetz_object.h5"),marks=pytest.mark.xfail(condition=not is_platform_little_endian(),reason="https://bugs.debian.org/877419",strict=False)
++ ),
++ (pd.read_stata, "os", ("io", "data", "stata10_115.dta")),
++ (pd.read_sas, "os", ("io", "sas", "data", "test1.sas7bdat")),
++--- a/pandas/tests/io/pytables/test_pytables.py
+++++ b/pandas/tests/io/pytables/test_pytables.py
++@@ -47,6 +47,11 @@ from pandas.io.pytables import (
++ read_hdf,
++ )
++ from pandas.io.pytables import TableIterator # noqa:E402
+++import platform
+++import re
+++is_intel=bool(re.match('i.?86|x86',platform.uname()[4]))
+++from pandas.compat import is_platform_little_endian
+++pytestmark = [pytest.mark.xfail(condition=not is_intel,reason="known failure of hdf on some non-x86",strict=False),pytest.mark.forked]
++
++ tables = pytest.importorskip("tables")
++
++@@ -1097,6 +1102,7 @@ class TestHDFStore(Base):
++ check("table", index)
++ check("fixed", index)
++
+++ @pytest.mark.skipif(condition=not is_intel,reason="crashes on armhf, https://bugs.debian.org/877419")
++ @pytest.mark.skipif(
++ not is_platform_little_endian(), reason="reason platform is not little endian"
++ )
++@@ -1129,6 +1135,7 @@ class TestHDFStore(Base):
++ ],
++ )
++ @pytest.mark.parametrize("dtype", ["category", object])
+++ @pytest.mark.skipif(condition=not is_intel,reason="similar to tests crashing on armhf, https://bugs.debian.org/877419")
++ def test_latin_encoding(self, dtype, val):
++ enc = "latin-1"
++ nan_rep = ""
++@@ -1308,6 +1315,7 @@ class TestHDFStore(Base):
++ # read with KeyError before another write
++ df.to_hdf(path, "k2")
++
+++ @pytest.mark.skipif(condition=not is_intel,reason="crashes on armhf, https://bugs.debian.org/877419")
++ def test_append_frame_column_oriented(self):
++
++ with ensure_clean_store(self.path) as store:
++@@ -3935,6 +3943,7 @@ class TestHDFStore(Base):
++ with pytest.raises(NotImplementedError):
++ store.select("dfs", start=0, stop=5)
++
+++ @pytest.mark.skipif(condition=not is_intel,reason="crashes on armhf, https://bugs.debian.org/877419")
++ def test_select_filter_corner(self):
++
++ df = DataFrame(np.random.randn(50, 100))
++--- a/pandas/tests/io/test_stata.py
+++++ b/pandas/tests/io/test_stata.py
++@@ -24,7 +24,12 @@ from pandas.io.stata import (
++ StataReader,
++ read_stata,
++ )
+++import platform
+++import re
+++is_intel=bool(re.match('i.?86|x86',platform.uname()[4]))
++
+++from pandas.compat import is_platform_little_endian
+++pytestmark = pytest.mark.xfail(condition=not is_platform_little_endian(),reason="known failure of test_stata on non-little endian",strict=False)
++
++ @pytest.fixture
++ def dirpath(datapath):
++@@ -196,7 +196,7 @@ class TestStata:
++ # parsed_113 = self.read_dta(self.dta2_113)
++
++ # Remove resource warnings
++- w = [x for x in w if x.category is UserWarning]
+++ w = [x for x in w if x.category is UserWarning and not "Non-x86 system detected" in str(x.message)]
++
++ # should get warning for each call to read_dta
++ assert len(w) == 3
++@@ -453,7 +453,7 @@ class TestStata:
++ warnings.simplefilter("always", InvalidColumnName)
++ original.to_stata(path, None, version=version)
++ # should get a warning for that format.
++- assert len(w) == 1
+++ assert len([x for x in w if not "Non-x86 system detected" in str(x.message)]) == 1
++
++ written_and_read_again = self.read_dta(path)
++ tm.assert_frame_equal(written_and_read_again.set_index("index"), formatted)
++@@ -496,6 +501,7 @@ class TestStata:
++ written_and_read_again = self.read_dta(path)
++ tm.assert_frame_equal(written_and_read_again.set_index("index"), parsed_114)
++
+++ @pytest.mark.xfail(condition=not is_intel,reason="https://bugs.debian.org/877419",strict=False)
++ @pytest.mark.parametrize(
++ "file", ["dta15_113", "dta15_114", "dta15_115", "dta15_117"]
++ )
++@@ -1264,6 +1270,7 @@ class TestStata:
++ read_labels = sr.variable_labels()
++ assert read_labels == variable_labels
++
+++ @pytest.mark.xfail(condition=not is_intel,reason="https://bugs.debian.org/877419",strict=False)
++ @pytest.mark.parametrize("version", [114, 117])
++ def test_invalid_variable_labels(self, version):
++ original = pd.DataFrame(
++@@ -1330,6 +1337,7 @@ class TestStata:
++ with tm.ensure_clean() as path:
++ original.to_stata(path, variable_labels=variable_labels_long)
++
+++ @pytest.mark.xfail(condition=not is_intel,reason="https://bugs.debian.org/877419",strict=False)
++ def test_default_date_conversion(self):
++ # GH 12259
++ dates = [
++@@ -1775,8 +1775,9 @@ has been incorrectly encoded by Stata or some other software. You should verify
++ the string values returned are correct."""
++ with tm.assert_produces_warning(UnicodeWarning) as w:
++ encoded = read_stata(self.dta_encoding_118)
++- assert len(w) == 151
++- assert w[0].message.args[0] == msg
+++ w2 = [x for x in w if not "Non-x86 system detected" in str(x.message)]
+++ assert len(w2) == 151
+++ assert w2[0].message.args[0] == msg
++
++ expected = pd.DataFrame([["Düsseldorf"]] * 151, columns=["kreis1849"])
++ tm.assert_frame_equal(encoded, expected)
++--- a/pandas/util/testing.py
+++++ b/pandas/util/testing.py
++@@ -7,6 +7,7 @@ import gzip
++ import http.client
++ import os
++ import re
+++import platform
++ from shutil import rmtree
++ import string
++ import tempfile
++@@ -2692,6 +2693,8 @@ def assert_produces_warning(
++ )
++ assert actual_warning.filename == caller.filename, msg
++ else:
+++ if actual_warning.category==UserWarning and "Non-x86 system detected" in str(actual_warning.message) and not bool(re.match('i.?86|x86',platform.uname()[4])):
+++ continue
++ extra_warnings.append(
++ (
++ actual_warning.category.__name__,
++diff --git a/pandas/io/clipboards.py b/pandas/io/clipboards.py
++index 0006824f0..7b03686e4 100644
++--- a/pandas/io/clipboards.py
+++++ b/pandas/io/clipboards.py
++@@ -1,6 +1,8 @@
++ """ io on the clipboard """
++ from io import StringIO
++ import warnings
+++from pandas.compat import is_platform_little_endian
+++warn_clipboard_platform="Non-x86 system detected, clipboard I/O may give wrong results - https://bugs.debian.org/877419" if not is_platform_little_endian() else False
++
++ from pandas.core.dtypes.generic import ABCDataFrame
++
++@@ -22,6 +24,8 @@ def read_clipboard(sep=r"\s+", **kwargs): # pragma: no cover
++ -------
++ parsed : DataFrame
++ """
+++ if warn_clipboard_platform:
+++ warnings.warn(warn_clipboard_platform)
++ encoding = kwargs.pop("encoding", "utf-8")
++
++ # only utf-8 is valid for passed value because that's what clipboard
++@@ -96,6 +100,8 @@ def to_clipboard(obj, excel=True, sep=None, **kwargs): # pragma: no cover
++ - Windows:
++ - OS X:
++ """
+++ if warn_clipboard_platform:
+++ warnings.warn(warn_clipboard_platform)
++ encoding = kwargs.pop("encoding", "utf-8")
++
++ # testing if an invalid encoding is passed to clipboard
++diff --git a/pandas/tests/io/test_clipboard.py b/pandas/tests/io/test_clipboard.py
++index fccd52f99..d2e294df2 100644
++--- a/pandas/tests/io/test_clipboard.py
+++++ b/pandas/tests/io/test_clipboard.py
++@@ -8,6 +8,7 @@ import pandas as pd
++ from pandas import DataFrame, get_option, read_clipboard
++ from pandas.util import testing as tm
++ from pandas.util.testing import makeCustomDataframe as mkdf
+++from pandas.compat import is_platform_little_endian
++
++ from pandas.io.clipboard import clipboard_get, clipboard_set
++ from pandas.io.clipboard.exceptions import PyperclipException
++@@ -258,6 +259,7 @@ class TestClipboard:
++
++ @pytest.mark.single
++ @pytest.mark.clipboard
+++@pytest.mark.xfail(condition=not is_platform_little_endian(),reason="https://bugs.debian.org/877419",strict=False)
++ @pytest.mark.skipif(not _DEPS_INSTALLED, reason="clipboard primitives not installed")
++ @pytest.mark.parametrize("data", ["\U0001f44d...", "Ωœ∑´...", "abcd..."])
++ def test_raw_roundtrip(data):
--- /dev/null
--- /dev/null
++Description: Xfail NaN <-> NaT tests on non-x86 and warn on cast
++
++pd.Series([np.nan]).astype('datetime64[ns]')[0] = pd.NaT on x86
++but 1970-01-01 on arm* because float NaN -> int is undefined:
++https://github.com/numpy/numpy/issues/8325
++https://github.com/pandas-dev/pandas/issues/17792
++https://github.com/pandas-dev/pandas/issues/26964
++
++On s390x it's the maximum _positive_ value (2**63-1 ns = year 2262)
++
++Author: Andreas Tille <tille@debian.org>, Graham Inggs <ginggs@debian.org>, Rebecca N. Palmer <rebecca_palmer@zoho.com>
++Bug-Debian: https://bugs.debian.org/877754
++
++--- a/pandas/core/dtypes/cast.py
+++++ b/pandas/core/dtypes/cast.py
++@@ -1,6 +1,10 @@
++ """ routings for casting """
++
++ from datetime import datetime, timedelta
+++import warnings
+++import platform
+++import re
+++warn_nannat_platform = "Non-x86 system detected, float -> datetime/timedelta may not handle NaNs correctly - https://bugs.debian.org/877754" if not bool(re.match('i.?86|x86',platform.uname()[4])) else False
++
++ import numpy as np
++
++@@ -723,6 +727,8 @@ def astype_nansafe(arr, dtype, copy=True
++ "The '{dtype}' dtype has no unit. " "Please pass in '{dtype}[ns]' instead."
++ )
++ raise ValueError(msg.format(dtype=dtype.name))
+++ if warn_nannat_platform and (is_datetime64_dtype(dtype) or is_timedelta64_dtype(dtype)) and np.issubdtype(arr.dtype, np.floating) and not np.isfinite(arr).all():
+++ warnings.warn(warn_nannat_platform)
++
++ if copy or is_object_dtype(arr) or is_object_dtype(dtype):
++ # Explicit copy, or required since NumPy can't view from / to object.
++@@ -1040,6 +1046,8 @@ def maybe_cast_to_datetime(value, dtype,
++ value = iNaT
++ else:
++ value = np.array(value, copy=False)
+++ if warn_nannat_platform and np.issubdtype(value.dtype, np.floating) and not np.isfinite(value).all():
+++ warnings.warn(warn_nannat_platform)
++
++ # have a scalar array-like (e.g. NaT)
++ if value.ndim == 0:
++--- a/pandas/tests/dtypes/cast/test_downcast.py
+++++ b/pandas/tests/dtypes/cast/test_downcast.py
++@@ -5,6 +5,9 @@ from pandas.core.dtypes.cast import mayb
++
++ from pandas import DatetimeIndex, Series, Timestamp
++ from pandas.util import testing as tm
+++import platform
+++import re
+++is_nannat_working=bool(re.match('i.?86|x86',platform.uname()[4]))
++
++
++ @pytest.mark.parametrize(
++@@ -68,6 +71,7 @@ def test_downcast_conversion_empty(any_r
++ tm.assert_numpy_array_equal(result, np.array([], dtype=np.int64))
++
++
+++@pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)
++ @pytest.mark.parametrize("klass", [np.datetime64, np.timedelta64])
++ def test_datetime_likes_nan(klass):
++ dtype = klass.__name__ + "[ns]"
++--- a/pandas/tests/frame/test_indexing.py
+++++ b/pandas/tests/frame/test_indexing.py
++@@ -26,6 +26,9 @@ from pandas import (
++ import pandas.core.common as com
++ from pandas.core.indexing import IndexingError
++ from pandas.tests.frame.common import TestData
+++import platform
+++import re
+++is_nannat_working=bool(re.match('i.?86|x86',platform.uname()[4]))
++ import pandas.util.testing as tm
++ from pandas.util.testing import (
++ assert_almost_equal,
++@@ -3049,6 +3052,7 @@ class TestDataFrameIndexing(TestData):
++ result = a.where(do_not_replace, b)
++ assert_frame_equal(result, expected)
++
+++ @pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)#not found
++ def test_where_datetime(self):
++
++ # GH 3311
++--- a/pandas/tests/frame/test_analytics.py
+++++ b/pandas/tests/frame/test_analytics.py
++@@ -5,6 +5,9 @@ import warnings
++
++ import numpy as np
++ import pytest
+++import platform
+++import re
+++is_nannat_working=bool(re.match('i.?86|x86',platform.uname()[4]))
++
++ import pandas.util._test_decorators as td
++
++@@ -1368,6 +1371,7 @@ class TestDataFrameAnalytics:
++ expected = pd.Series(result, index=["A", "B"])
++ tm.assert_series_equal(result, expected)
++
+++ @pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)
++ def test_sum_nanops_timedelta(self):
++ # prod isn't defined on timedeltas
++ idx = ["a", "b", "c"]
++--- a/pandas/tests/indexes/datetimes/test_datetime.py
+++++ b/pandas/tests/indexes/datetimes/test_datetime.py
++@@ -3,6 +3,9 @@ from datetime import date
++ import dateutil
++ import numpy as np
++ import pytest
+++import platform
+++import re
+++is_nannat_working=bool(re.match('i.?86|x86',platform.uname()[4]))
++
++ import pandas as pd
++ from pandas import DataFrame, DatetimeIndex, Index, Timestamp, date_range, offsets
++@@ -64,6 +67,7 @@ class TestDatetimeIndex:
++ idx2 = pd.date_range(end="2000", periods=periods, freq="S")
++ assert len(idx2) == periods
++
+++ @pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)
++ def test_nat(self):
++ assert DatetimeIndex([np.nan])[0] is pd.NaT
++
++--- a/pandas/tests/reductions/test_reductions.py
+++++ b/pandas/tests/reductions/test_reductions.py
++@@ -2,6 +2,9 @@ from datetime import datetime, timedelta
++
++ import numpy as np
++ import pytest
+++import platform
+++import re
+++is_nannat_working=bool(re.match('i.?86|x86',platform.uname()[4]))
++
++ import pandas as pd
++ from pandas import (
++@@ -1145,6 +1148,7 @@ class TestSeriesMode:
++ expected = Series(expected2, dtype=object)
++ tm.assert_series_equal(result, expected)
++
+++ @pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)
++ @pytest.mark.parametrize(
++ "dropna, expected1, expected2",
++ [
++--- a/pandas/tests/series/test_constructors.py
+++++ b/pandas/tests/series/test_constructors.py
++@@ -12,6 +12,9 @@ from pandas.compat import PY36
++
++ from pandas.core.dtypes.common import is_categorical_dtype, is_datetime64tz_dtype
++ from pandas.core.dtypes.dtypes import CategoricalDtype, ordered_sentinel
+++import platform
+++import re
+++is_nannat_working=bool(re.match('i.?86|x86',platform.uname()[4]))
++
++ import pandas as pd
++ from pandas import (
++@@ -963,6 +966,7 @@ class TestSeriesConstructors:
++
++ tm.assert_series_equal(result, expected)
++
+++ @pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)
++ @pytest.mark.parametrize("arg", ["2013-01-01 00:00:00", pd.NaT, np.nan, None])
++ def test_constructor_with_naive_string_and_datetimetz_dtype(self, arg):
++ # GH 17415: With naive string
++@@ -1246,6 +1250,7 @@ class TestSeriesConstructors:
++ series[2] = val
++ assert isna(series[2])
++
+++ @pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)
++ def test_NaT_cast(self):
++ # GH10747
++ result = Series([np.nan]).astype("M8[ns]")
++--- a/pandas/tests/test_algos.py
+++++ b/pandas/tests/test_algos.py
++@@ -30,6 +30,9 @@ import pandas.core.common as com
++ from pandas.core.sorting import safe_sort
++ import pandas.util.testing as tm
++ from pandas.util.testing import assert_almost_equal
+++import platform
+++import re
+++is_nannat_working=bool(re.match('i.?86|x86',platform.uname()[4]))
++
++
++ class TestMatch:
++@@ -1035,6 +1038,7 @@ class TestValueCounts:
++ expected = Series([2, 1, 1], index=[5.0, 10.3, np.nan])
++ tm.assert_series_equal(result, expected)
++
+++ @pytest.mark.xfail(condition=not is_nannat_working,reason="https://bugs.debian.org/877754",strict=False)
++ def test_value_counts_normalized(self):
++ # GH12558
++ s = Series([1, 2, np.nan, np.nan, np.nan])
--- /dev/null
--- /dev/null
++doc/build/html
--- /dev/null
--- /dev/null
++usr/share/javascript/jquery/jquery.js usr/share/doc/python-pandas-doc/html/_static/jquery.js
++usr/share/javascript/underscore/underscore.js usr/share/doc/python-pandas-doc/html/_static/underscore.js
++usr/share/doc/python-pandas-doc/html/whatsnew/index.html.gz usr/share/doc/python-pandas-doc/NEWS.html.gz
++usr/share/doc/python-pandas-doc/html/whatsnew/index.html.gz usr/share/doc/python3-pandas/NEWS.html.gz
--- /dev/null
--- /dev/null
++usr/lib/python3/dist-packages/pandas/*/*/*.so
++usr/lib/python3/dist-packages/pandas/*/*.so
--- /dev/null
--- /dev/null
++usr/lib/python3/
--- /dev/null
--- /dev/null
++#!/usr/bin/make -f
++# -*- mode: makefile; coding: utf-8 -*-
++
++export DEB_BUILD_MAINT_OPTIONS = hardening=+all
++
++# Pass hardening flags into distutils, explicitly
++export CFLAGS = $(shell dpkg-buildflags --get CFLAGS)
++export CPPFLAGS = $(shell dpkg-buildflags --get CPPFLAGS)
++export CXXFLAGS = $(shell dpkg-buildflags --get CXXFLAGS)
++
++PACKAGE3_NAME = python3-pandas
++PACKAGE3_ROOT_DIR = debian/${PACKAGE3_NAME}
++
++PY3VERS = $(shell py3versions -vr)
++PY3VER = $(shell py3versions -vd)
++SOURCE_DATE:=$(shell date -u -d "@$(SOURCE_DATE_EPOCH)" "+%a, %d %b %Y" || echo "xxx, xx xxx xxxx")
++SOURCE_TIME:=$(shell date -u -d "@$(SOURCE_DATE_EPOCH)" "+%T" || echo "xx:xx:xx")
++
++UVER := $(shell LC_ALL=C dpkg-parsechangelog | awk '/^Version:/{print $$2;}' | sed -e 's,-[^-]*$$,,g' | sed -e 's,+dfsg,,g')
++# Python doesn't use ~ for rc
++UVER_PY := $(shell echo $(UVER) | sed -e 's,[~],,g')
++UVER_PYSHORT := $(shell echo $(UVER_PY) | sed -e 's,+git.*,,g')
++
++MIN_CYTHONVER = 0.23
++
++# Filter out tests with "marker expressions" and "keyword expressions". Ref: pytest(1)
++ifeq ($(DEB_HOST_ARCH),$(filter $(DEB_HOST_ARCH), amd64 i386 kfreebsd-amd64 kfreebsd-i386 x32))
++ PYTEST_MARKER_ARCH :=
++ PYTEST_KEYWORD_ARCH :=
++else
++ PYTEST_MARKER_ARCH := and not intel and not slow
++ PYTEST_KEYWORD_ARCH :=
++endif
++
++PYTEST_MARKER := not network $(PYTEST_MARKER_ARCH)
++
++ADDPATCHES :=
++# testing for version became fragile: https://github.com/pytest-dev/pytest/issues/3692
++# PYTESTVER := $(shell python -c 'import pytest; print(pytest.__version__)')
++# and there is way too many uses of pytest.param now, so we can't just easily patch for it... THINK!
++# ADDPATCHES += $(shell dpkg --compare-versions $(PYTESTVER) ge 3.1.0 || echo "0001-TST-pytest-deprecation-warnings-GH17197-17253-reversed.patch" )
++
++# MPLVER := $(shell dpkg -l python-matplotlib | awk '/^ii/{print $$3;}' || echo 0)
++# $(shell dpkg --compare-versions $(MPLVER) lt 1.0 && echo '|test_hist|test_plot|test_boxplot|test_corr_rank' || echo '')
++
++# try to prevent unsunctioned downloads
++export http_proxy=http://127.0.0.1:9/
++export https_proxy=http://127.0.0.1:9/
++
++export SHELL=/bin/bash
++
++# Mega rule
++%:
++ : # Explicit build system to avoid use of all-in-1 Makefile
++ dh $@ --buildsystem=pybuild --with python3
++
++clean_generated:
++ find pandas/ -regex '.*\.c\(\|pp\)' | xargs grep -l -e 'Generated by Cython' | xargs -r rm -f
++
++_cythonize%:
++ debian/rules clean_generated # force removal of previous copies
++ python$(*:2=) setup.py cython
++ D=debian/cythonized-files$(*:2=) && \
++ git rm -rf $$D; \
++ find pandas/ -regex '.*\.c\(\|pp\)' | while read f; do \
++ grep -q 'Generated by Cython' "$$f" || continue; \
++ mkdir -p "$$D/$$(dirname $$f)"; \
++ cp "$$f" "$$D/$$(dirname $$f)"; \
++ git add -f "$$D/$$f"; \
++ done; \
++ echo "$(UVER)" >| $$D/VERSION; git add $$D/VERSION
++
++_uncythonize%:
++ echo "$*" | grep -q '^3' && PY=3 || PY= ; \
++ CYTHONVER=$$(dpkg -l cython$$PY 2>/dev/null | awk '/^ii/{print $$3;}' || echo 0); \
++ dpkg --compare-versions "$$CYTHONVER" lt "$(MIN_CYTHONVER)" && { \
++ echo "I: Using pre-Cython-ed files for Python $*"; \
++ cd debian/cythonized-files$$PY/ ; \
++ find . -regex '.*\.c\(\|pp\)' | while read f; do cp $$f ../../$$f; done; } || :
++
++cythonize: _cythonize3
++
++override_dh_clean: clean_generated
++ : # Make sure that cythonized sources are up-to-date
++ [ ! -e debian/cythonized-files3/VERSION ] || [ "$(UVER)" = "`cat debian/cythonized-files3/VERSION`" ]
++ rm -rf build doc/_build *-stamp # pandas.egg-info pandas/datasets/__config__.py
++ dh_clean
++
++version_py:
++ [ -e pandas/__version.py ] || \
++ echo -e "version = '$(UVER_PY)'\nshort_version = '$(UVER_PYSHORT)'" > pandas/__version.py
++
++override_dh_auto_build: version_py debian/patch-stamp
++ # Override default build operation which --force's re-cythonization
++ # on elderly ubuntus
++ # Just build the version.py file
++ :
++
++debian/patch-stamp:
++ if echo "${ADDPATCHES}" | sed -e 's,\s,,g' | grep '.' ; then \
++ echo ${ADDPATCHES} >> debian/patches/series; \
++ quilt push -a; \
++ fi
++ touch $@
++
++
++override_dh_auto_install: ${PY3VERS:%=python-install%} ${PY3VERS:%=python-test%}
++# Per Python version logic -- install, test, remomove .so (installed into -lib)
++python-install%: _uncythonize%
++ python$* setup.py install --install-layout=deb --root=$(CURDIR)/debian/tmp
++
++python-test%: python-install%
++ifeq (,$(filter nocheck,$(DEB_BUILD_OPTIONS)))
++ echo "backend : Agg" >| $(CURDIR)/build/matplotlibrc
++ : # Run unittests here against installed pandas, in sections to avoid out-of-memory crash (#943732); exit code 5 means no tests in this file
++ echo "$*" | grep -q '^3' && PY=3 || PY=$*; \
++ export PYTHONPATH=`/bin/ls -d $$PWD/debian/tmp/usr/lib/python$$PY/*/`; \
++ export MPLCONFIGDIR=$(CURDIR)/build HOME=$(CURDIR)/build; \
++ python$* pandas/util/_print_versions.py; \
++ cd build/; TEST_SUCCESS=true; for TEST_SUBSET in $${PYTHONPATH}/pandas/tests/* ; do \
++ LOCALE_OVERRIDE=C xvfb-run -a -s "-screen 0 1280x1024x24 -noreset" \
++ python$* -m pytest -s -v -m "$(PYTEST_MARKER)" --confcutdir=$${PYTHONPATH}/pandas --deb-data-root-dir=$(CURDIR)/pandas/tests --strict-data-files $${TEST_SUBSET} || test $$? == 5 || TEST_SUCCESS=false \
++ ; done ; $${TEST_SUCCESS}
++else
++ : # Skip unittests due to nocheck
++endif
++
++override_dh_installdocs:
++ : # Build Documentation using installed pandas
++ifeq (,$(filter nodoc,$(DEB_BUILD_OPTIONS)))
++ifneq (,$(findstring -a,$(DH_INTERNAL_OPTIONS)))
++ : # not building documentation in -a
++else
++ cd doc && PYTHONPATH=$(CURDIR)/$(PACKAGE3_ROOT_DIR)-lib/usr/lib/python3/dist-packages:$(CURDIR)/$(PACKAGE3_ROOT_DIR)/usr/lib/python3/dist-packages MPLCONFIGDIR=$(CURDIR)/build HOME=$(CURDIR)/build LC_ALL=C python3 make.py html
++ # strip build paths and statsmodels timestamps for reproducibility, and online Javascript for privacy
++ for html in `find doc/build/html -name _modules -prune -o -name "*.html" -o -name "*.ipynb"` ; do \
++ sed -i -e 's#$(CURDIR)/.pybuild/[^/]*/build/pandas/#/usr/lib/python3/dist-packages/pandas/#g' \
++ -e 's#$(CURDIR)/debian/python3-pandas/usr/lib/python3/dist-packages/pandas/#/usr/lib/python3/dist-packages/pandas/#g' \
++ -e 's#<script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs\.cloudflare\.com/ajax/libs/require\.js/2\.3\.4/require\.min\.js">#<script type="text/javascript" src="file:///usr/share/javascript/requirejs/require.min.js">#g' \
++ -e 's#\(Date:.*\)[A-Z][a-z]\+, \+[0-9]\+,\? \+[A-Z][a-z]\+,\? \+[0-9]\+#\1$(SOURCE_DATE)#g' \
++ -e 's#\(Time:.*\)[0-9][0-9]:[0-9][0-9]:[0-9][0-9]#\1$(SOURCE_TIME)#g' $${html} ; \
++ done
++ : # Use jquery+underscore from Debian package, so prune shipped one
++ rm doc/build/html/_static/jquery.js
++ rm doc/build/html/_static/underscore.js
++endif
++endif
++ dh_installdocs -A *.md
++ # for NEWS.html.gz - put it here and use symlinks to avoid breaking internal links
++ gzip -c -n -9 debian/python-pandas-doc/usr/share/doc/python-pandas-doc/html/whatsnew/index.html > debian/python-pandas-doc/usr/share/doc/python-pandas-doc/html/whatsnew/index.html.gz || true
++ cp -av debian/contributors_list.txt debian/python-pandas-doc/usr/share/doc/python-pandas-doc || true
++ # deduplicate files - the ||true is because we only build-depend on jdupes if we're building documentation
++ jdupes -r -l debian/python-pandas-doc/usr/share/doc || true
++
++override_dh_install:
++ dh_install
++ find debian -name __pycache__ | xargs rm -rf
++
++## remove .so libraries from main package, and call dh_numpy*
++## while removing 2 if not present
++_dh_python%:
++ [ -e /usr/bin/dh_numpy$(*:2=) ] && dh_numpy$(*:2=) -p$(PACKAGE$*_NAME)-lib || :
++ dh_python$*
++ -find debian/python*-pandas -name "*.so" -delete
++
++## "Instantiate" both rules so dh sees them
++override_dh_python3: _dh_python3
++
++## immediately useable documentation and exemplar scripts/data
++override_dh_compress:
++ dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -Xobjects.inv
++
++override_dh_auto_test:
++ # do nothing here, we run tests in python-test% instead
++ true
--- /dev/null
--- /dev/null
++3.0 (quilt)
--- /dev/null
--- /dev/null
++# nothing to do with the html files with lenthy lines.
++very-long-line-length-in-source-file
++# False positive triggered by very-long-line-length-in-source-file.
++# https://lintian.debian.org/tags/source-is-missing.html
++# Anyway let's override this "feature".
++source-is-missing
--- /dev/null
--- /dev/null
++extend-diff-ignore="^[^/]+\.egg-info/|pandas/__version.py"
--- /dev/null
--- /dev/null
++# Check that the hard Depends are enough for import
++# cd to not-the-source-directory to get the installed pandas
++Test-Command: cd "$AUTOPKGTEST_TMP" && python3 -c "import pandas;a=pandas.DataFrame([[1,2],[3,4]])"
++Depends: python3-pandas
++Restrictions: allow-stderr
++
++# According to pandas/doc/source/install.rst, running the unit tests looks like:
++# `py.test-3 --skip-slow --skip-network /usr/lib/python3/dist-packages/pandas/ -v -rs`
++# Or simply `python3 -c "import pandas as pd; pd.test()"`, which doesn't require
++# us to specify the path (pandas.__path__) in command line.
++# See: pandas/util/_tester.py
++Tests: unittests3
++Depends: locales-all,
++ python3-all,
++ python3-bs4,
++ python3-dateutil,
++ python3-html5lib,
++ python3-hypothesis,
++ python3-lxml,
++ python3-matplotlib [!hurd-i386],
++ python3-nose,
++ python3-numpy (>= 1:1.15~),
++ python3-openpyxl,
++ python3-pandas,
++ python3-pytest (>= 4.0.2~),
++ python3-pytest-forked,
++ python3-scipy,
++ python3-six,
++ python3-statsmodels,
++ python3-tables (>= 3.4.2~) [!m68k !sh4 !x32],
++ python3-tk,
++ python3-tz,
++ python3-xarray,
++ python3-xlrd,
++ python3-xlsxwriter,
++ python3-xlwt,
++ xauth,
++ xvfb,
++ xclip,
++Restrictions: allow-stderr
--- /dev/null
--- /dev/null
++#!/bin/bash
++set -eu
++set -x
++
++arch=$(dpkg --print-architecture)
++pys="$(py3versions -r 2>/dev/null)"
++sourcetestroot="$PWD/pandas/tests"
++
++# Debian: Enable "slow" tests on x86 to keep the code coverage.
++# Ubuntu: Disable "slow" tests on ALL architectures.
++if (echo amd64 i386 | grep $arch >/dev/null) && [ "Debian" = $(dpkg-vendor --query vendor) ]; then
++ marker=''
++else
++ marker='not slow'
++fi
++
++cd "$AUTOPKGTEST_TMP"
++# Run in sections to avoid out-of-memory crash (#943732)
++# exit code 5 means no tests in this file
++TEST_SUCCESS=true
++for py in $pys; do
++ echo "=== $py ==="
++ modpath=$($py -c 'import pandas as pd; print(pd.__path__[0])')
++ for TEST_SUBSET in $modpath/tests/* ; do
++ LC_ALL=C.UTF-8 xvfb-run --auto-servernum --server-args="-screen 0 1024x768x24" \
++ $py -m pytest --tb=long -s -v -m "$marker" --deb-data-root-dir=$sourcetestroot --strict-data-files --confcutdir=$modpath $TEST_SUBSET 2>&1 || test $? == 5 || TEST_SUCCESS=false
++ done
++done
++$TEST_SUCCESS
--- /dev/null
--- /dev/null
++Name: pandas
++Repository: https://github.com/pydata/pandas
++Documentation: https://pandas.pydata.org/pandas-docs/stable
++Bug-Database: https://github.com/pydata/pandas/issues
++Contact: https://pandas.pydata.org/community.html
++Reference:
++ Title: "pandas: a Foundational Python Library for Data Analysis and Statistics"
++ Eprint: https://www.scribd.com/doc/71048089/pandas-a-Foundational-Python-Library-for-Data-Analysis-and-Statistics
++ Author: McKinney, Wes
++ Booktitle: presented at PyHPC
++ Year: 2011
++Other-References: https://pandas.pydata.org/talks.html
--- /dev/null
--- /dev/null
++version=4
++opts="dversionmangle=s/.dfsg[0-9]*$//,uversionmangle=s/v//;s/rc/~rc/,filenamemangle=s/.*\/(.*)/pandas-$1\.tar\.gz/,repacksuffix=+dfsg2" \
++ https://github.com/pydata/pandas/tags .*archive/v?([\d\.rc]+).tar.gz
projects / pandas.git / commitdiff