Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
C
cpython
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
0
Issues
0
List
Boards
Labels
Milestones
Merge Requests
0
Merge Requests
0
Analytics
Analytics
Repository
Value Stream
Wiki
Wiki
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Commits
Issue Boards
Open sidebar
Kirill Smelkov
cpython
Commits
fb45e2f2
Commit
fb45e2f2
authored
Nov 16, 2016
by
Raymond Hettinger
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
Minor touch-ups to the random module examples
parent
93a2762c
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
6 additions
and
5 deletions
+6
-5
Doc/library/random.rst
Doc/library/random.rst
+6
-5
No files found.
Doc/library/random.rst
View file @
fb45e2f2
...
...
@@ -344,15 +344,15 @@ Basic usage::
>>> deck
['king', 'queen', 'ace', 'jack']
>>> random.sample([1, 2, 3, 4, 5],
3)
# Three samples without replacement
>>> random.sample([1, 2, 3, 4, 5],
k=3)
# Three samples without replacement
[4, 1, 5]
>>> # Six weighted samples with replacement
>>> choices(['red', 'black', 'green'], [18, 18, 2], k=6)
['red', 'green', 'black', 'black', 'red', 'black']
# Probability of getting 5 or more heads from 7 spins
of a biased coin
# that settles on heads 60% of the time.
# Probability of getting 5 or more heads from 7 spins
#
of a biased coin
that settles on heads 60% of the time.
>>> n = 10000
>>> cw = [0.60, 1.00]
>>> sum(choices('HT', cum_weights=cw, k=7).count('H') >= 5 for i in range(n)) / n
...
...
@@ -369,5 +369,6 @@ sample of size five::
data = 1, 2, 4, 4, 10
means = sorted(mean(choices(data, k=5)) for i in range(20))
print('The sample mean of {:.1f} has a 90% confidence interval '
'from {:.1f} to {:.1f}'.format(mean(data), means[1], means[-2]))
print(f'The sample mean of {mean(data):.1f} has a 90% confidence '
f'interval from {means[1]:.1f} to {means[-2]:.1f}')
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment