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authorRaymond Hettinger <python@rcn.com>2016-11-17 05:34:17 (GMT)
committerRaymond Hettinger <python@rcn.com>2016-11-17 05:34:17 (GMT)
commit2589ee3e2b8726f41a2712ee035219d2a9696876 (patch)
treea6b8cceaf59f3ea97ecf9598c28daabaafa2bde8
parentbe1ed8b028db6248ca6686f5d089fcfe3012d1b0 (diff)
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Minor touch-ups to the random module examples
-rw-r--r--Doc/library/random.rst11
1 files changed, 6 insertions, 5 deletions
diff --git a/Doc/library/random.rst b/Doc/library/random.rst
index edf76d7..72d6a39 100644
--- a/Doc/library/random.rst
+++ b/Doc/library/random.rst
@@ -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}')
+