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| author | xzmeng <aumo@foxmail.com> | 2023-08-29 00:14:21 (GMT) |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-29 00:14:21 (GMT) |
| commit | 88f1c5b454c34efc167a94b5e2d67ec042834e5b (patch) | |
| tree | 2421729f63e878985aae4d5ce946d016b06dbe16 /Doc/library/statistics.rst | |
| parent | 5c68cba268c07bac165834ad5c72448b195327c4 (diff) | |
| download | cpython-88f1c5b454c34efc167a94b5e2d67ec042834e5b.zip cpython-88f1c5b454c34efc167a94b5e2d67ec042834e5b.tar.gz cpython-88f1c5b454c34efc167a94b5e2d67ec042834e5b.tar.bz2 | |
Fix misc doc typos (#108592)
Diffstat (limited to 'Doc/library/statistics.rst')
| -rw-r--r-- | Doc/library/statistics.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst index 368b2a1..a8a7901 100644 --- a/Doc/library/statistics.rst +++ b/Doc/library/statistics.rst @@ -1091,7 +1091,7 @@ parameter, ``h``, representing the variance of the kernel function. import math def kde_normal(sample, h): - "Create a continous probability density function from a sample." + "Create a continuous probability density function from a sample." # Smooth the sample with a normal distribution of variance h. kernel_h = NormalDist(0.0, math.sqrt(h)).pdf n = len(sample) |