From: Debian Science Team Date: Tue, 31 Jan 2023 13:21:16 +0000 (+0000) Subject: Use fixed seeds for reproducible pseudorandomness X-Git-Tag: archive/raspbian/1.5.3+dfsg-2+rpi1~19 X-Git-Url: https://dgit.raspbian.org/?a=commitdiff_plain;h=93e6b0b03c59975740702df88896843518371c26;p=pandas.git Use fixed seeds for reproducible pseudorandomness Author: Rebecca N. Palmer Forwarded: no Gbp-Pq: Name fix_random_seeds.patch --- diff --git a/doc/source/getting_started/comparison/comparison_with_r.rst b/doc/source/getting_started/comparison/comparison_with_r.rst index f91f4218..ac762876 100644 --- a/doc/source/getting_started/comparison/comparison_with_r.rst +++ b/doc/source/getting_started/comparison/comparison_with_r.rst @@ -241,6 +241,7 @@ In pandas we may use :meth:`~pandas.pivot_table` method to handle this: import random import string + random.seed(123456) # for reproducibility baseball = pd.DataFrame( { diff --git a/doc/source/user_guide/advanced.rst b/doc/source/user_guide/advanced.rst index b8df21ab..253033ea 100644 --- a/doc/source/user_guide/advanced.rst +++ b/doc/source/user_guide/advanced.rst @@ -595,6 +595,7 @@ they need to be sorted. As with any index, you can use :meth:`~DataFrame.sort_in import random + random.seed(123456) # for reproducibility random.shuffle(tuples) s = pd.Series(np.random.randn(8), index=pd.MultiIndex.from_tuples(tuples)) s diff --git a/doc/source/user_guide/visualization.rst b/doc/source/user_guide/visualization.rst index 147981f2..2b05082b 100644 --- a/doc/source/user_guide/visualization.rst +++ b/doc/source/user_guide/visualization.rst @@ -1019,6 +1019,7 @@ be passed, and when ``lag=1`` the plot is essentially ``data[:-1]`` vs. :suppress: np.random.seed(123456) + random.seed(123456) # for reproducibility - bootstrap_plot uses random.sample .. ipython:: python