1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
|
Description: Use fixed seeds for reproducible pseudorandomness
Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Forwarded: no
--- 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.pivo
import random
import string
+ random.seed(123456) # for reproducibility
baseball = pd.DataFrame(
{
--- 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 inde
import random
+ random.seed(123456) # for reproducibility
random.shuffle(tuples)
s = pd.Series(np.random.randn(8), index=pd.MultiIndex.from_tuples(tuples))
s
--- 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 i
:suppress:
np.random.seed(123456)
+ random.seed(123456) # for reproducibility - bootstrap_plot uses random.sample
.. ipython:: python
|
