Skip to content

See also #32820

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Mar 19, 2020
Merged

See also #32820

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
fb54d57
DOC: Fix SA01 in Series count, cov, corr
farhanreynaldo Mar 19, 2020
3d6a416
DOC: Fix SA01 in Series count, cov, corr
farhanreynaldo Mar 19, 2020
8aa6e74
Add period
farhanreynaldo Mar 19, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 14 additions & 0 deletions pandas/core/series.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1692,6 +1692,10 @@ def count(self, level=None):
int or Series (if level specified)
Number of non-null values in the Series.

See Also
--------
DataFrame.count : Count non-NA cells for each column or row.

Examples
--------
>>> s = pd.Series([0.0, 1.0, np.nan])
Expand Down Expand Up @@ -2222,6 +2226,12 @@ def corr(self, other, method="pearson", min_periods=None) -> float:
float
Correlation with other.

See Also
--------
DataFrame.corr : Compute pairwise correlation between columns.
DataFrame.corrwith : Compute pairwise correlation with another
DataFrame or Series.

Examples
--------
>>> def histogram_intersection(a, b):
Expand Down Expand Up @@ -2264,6 +2274,10 @@ def cov(self, other, min_periods=None) -> float:
Covariance between Series and other normalized by N-1
(unbiased estimator).

See Also
--------
DataFrame.cov : Compute pairwise covariance of columns.

Examples
--------
>>> s1 = pd.Series([0.90010907, 0.13484424, 0.62036035])
Expand Down