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Posted to commits@spark.apache.org by ru...@apache.org on 2022/09/15 09:14:50 UTC
[spark] branch master updated: [SPARK-40440][PS][DOCS] Fix wrong reference and content in PS windows related doc
This is an automated email from the ASF dual-hosted git repository.
ruifengz pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/master by this push:
new 3d14b745773 [SPARK-40440][PS][DOCS] Fix wrong reference and content in PS windows related doc
3d14b745773 is described below
commit 3d14b745773f66d50c5ee5b3d7835b5f11132ec8
Author: Yikun Jiang <yi...@gmail.com>
AuthorDate: Thu Sep 15 17:14:21 2022 +0800
[SPARK-40440][PS][DOCS] Fix wrong reference and content in PS windows related doc
### What changes were proposed in this pull request?
Fix wrong reference and content in PS windows related doc:
- Add `pyspark.pandas.` for window function doc
- Change `pandas_on_spark.DataFrame` to `pyspark.pandas.DataFrame` to make sure link generate correctly.
- Fix `Returns` and `See Also` for `Rolling.count`
- Add ewm doc for `Dataframe` and `series`
### Why are the changes needed?
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
```
cd ~/spark/python/docs
make html
```
Closes #37895 from Yikun/add-doc.
Authored-by: Yikun Jiang <yi...@gmail.com>
Signed-off-by: Ruifeng Zheng <ru...@apache.org>
---
.../docs/source/reference/pyspark.pandas/frame.rst | 1 +
.../source/reference/pyspark.pandas/series.rst | 1 +
.../source/reference/pyspark.pandas/window.rst | 8 +-
python/pyspark/pandas/window.py | 301 +++++++++++----------
4 files changed, 160 insertions(+), 151 deletions(-)
diff --git a/python/docs/source/reference/pyspark.pandas/frame.rst b/python/docs/source/reference/pyspark.pandas/frame.rst
index ff743371320..9c69ca647c4 100644
--- a/python/docs/source/reference/pyspark.pandas/frame.rst
+++ b/python/docs/source/reference/pyspark.pandas/frame.rst
@@ -151,6 +151,7 @@ Computations / Descriptive Stats
DataFrame.count
DataFrame.cov
DataFrame.describe
+ DataFrame.ewm
DataFrame.kurt
DataFrame.kurtosis
DataFrame.mad
diff --git a/python/docs/source/reference/pyspark.pandas/series.rst b/python/docs/source/reference/pyspark.pandas/series.rst
index 1cf63c1a8ae..5ed6df6b2a1 100644
--- a/python/docs/source/reference/pyspark.pandas/series.rst
+++ b/python/docs/source/reference/pyspark.pandas/series.rst
@@ -145,6 +145,7 @@ Computations / Descriptive Stats
Series.cumsum
Series.cumprod
Series.describe
+ Series.ewm
Series.filter
Series.kurt
Series.mad
diff --git a/python/docs/source/reference/pyspark.pandas/window.rst b/python/docs/source/reference/pyspark.pandas/window.rst
index b5d74f2029a..c840be357fa 100644
--- a/python/docs/source/reference/pyspark.pandas/window.rst
+++ b/python/docs/source/reference/pyspark.pandas/window.rst
@@ -21,9 +21,11 @@ Window
======
.. currentmodule:: pyspark.pandas.window
-Rolling objects are returned by ``.rolling`` calls: :func:`pandas_on_spark.DataFrame.rolling`, :func:`pandas_on_spark.Series.rolling`, etc.
-Expanding objects are returned by ``.expanding`` calls: :func:`pandas_on_spark.DataFrame.expanding`, :func:`pandas_on_spark.Series.expanding`, etc.
-ExponentialMoving objects are returned by ``.ewm`` calls: :func:`pandas_on_spark.DataFrame.ewm`, :func:`pandas_on_spark.Series.ewm`, etc.
+Rolling objects are returned by ``.rolling`` calls: :func:`pyspark.pandas.DataFrame.rolling`, :func:`pyspark.pandas.Series.rolling`, etc.
+
+Expanding objects are returned by ``.expanding`` calls: :func:`pyspark.pandas.DataFrame.expanding`, :func:`pyspark.pandas.Series.expanding`, etc.
+
+ExponentialMoving objects are returned by ``.ewm`` calls: :func:`pyspark.pandas.DataFrame.ewm`, :func:`pyspark.pandas.Series.ewm`, etc.
Standard moving window functions
--------------------------------
diff --git a/python/pyspark/pandas/window.py b/python/pyspark/pandas/window.py
index 274000cbb2c..7ff7a6a8eb6 100644
--- a/python/pyspark/pandas/window.py
+++ b/python/pyspark/pandas/window.py
@@ -224,10 +224,15 @@ class Rolling(RollingLike[FrameLike]):
Returns
-------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.count : Count of the full Series.
- DataFrame.count : Count of the full DataFrame.
+ Series or DataFrame
+ Return type is the same as the original object with `np.float64` dtype.
+
+ See Also
+ --------
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.count : Count of the full Series.
+ pyspark.pandas.DataFrame.count : Count of the full DataFrame.
Examples
--------
@@ -279,10 +284,10 @@ class Rolling(RollingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.sum : Reducing sum for Series.
- DataFrame.sum : Reducing sum for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.sum : Reducing sum for Series.
+ pyspark.pandas.DataFrame.sum : Reducing sum for DataFrame.
Examples
--------
@@ -357,10 +362,10 @@ class Rolling(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with a Series.
- DataFrame.rolling : Calling object with a DataFrame.
- Series.min : Similar method for Series.
- DataFrame.min : Similar method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with a Series.
+ pyspark.pandas.DataFrame.rolling : Calling object with a DataFrame.
+ pyspark.pandas.Series.min : Similar method for Series.
+ pyspark.pandas.DataFrame.min : Similar method for DataFrame.
Examples
--------
@@ -434,10 +439,10 @@ class Rolling(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Series rolling.
- DataFrame.rolling : DataFrame rolling.
- Series.max : Similar method for Series.
- DataFrame.max : Similar method for DataFrame.
+ pyspark.pandas.Series.rolling : Series rolling.
+ pyspark.pandas.DataFrame.rolling : DataFrame rolling.
+ pyspark.pandas.Series.max : Similar method for Series.
+ pyspark.pandas.DataFrame.max : Similar method for DataFrame.
Examples
--------
@@ -512,10 +517,10 @@ class Rolling(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.mean : Equivalent method for Series.
- DataFrame.mean : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.mean : Equivalent method for Series.
+ pyspark.pandas.DataFrame.mean : Equivalent method for DataFrame.
Examples
--------
@@ -684,10 +689,10 @@ class Rolling(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
Examples
@@ -784,10 +789,10 @@ class Rolling(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
Examples
@@ -836,10 +841,10 @@ class Rolling(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.var : Equivalent method for Series.
- DataFrame.var : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.var : Equivalent method for Series.
+ pyspark.pandas.DataFrame.var : Equivalent method for DataFrame.
numpy.var : Equivalent method for Numpy array.
Examples
@@ -985,10 +990,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.count : Count of the full Series.
- DataFrame.count : Count of the full DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.count : Count of the full Series.
+ pyspark.pandas.DataFrame.count : Count of the full DataFrame.
Examples
--------
@@ -1039,10 +1044,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.sum : Sum of the full Series.
- DataFrame.sum : Sum of the full DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.sum : Sum of the full Series.
+ pyspark.pandas.DataFrame.sum : Sum of the full DataFrame.
Examples
--------
@@ -1093,10 +1098,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.min : Min of the full Series.
- DataFrame.min : Min of the full DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.min : Min of the full Series.
+ pyspark.pandas.DataFrame.min : Min of the full DataFrame.
Examples
--------
@@ -1147,10 +1152,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.max : Max of the full Series.
- DataFrame.max : Max of the full DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.max : Max of the full Series.
+ pyspark.pandas.DataFrame.max : Max of the full DataFrame.
Examples
--------
@@ -1201,10 +1206,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.mean : Mean of the full Series.
- DataFrame.mean : Mean of the full DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.mean : Mean of the full Series.
+ pyspark.pandas.DataFrame.mean : Mean of the full DataFrame.
Examples
--------
@@ -1325,10 +1330,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
"""
return super().std()
@@ -1344,10 +1349,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.var : Equivalent method for Series.
- DataFrame.var : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.var : Equivalent method for Series.
+ pyspark.pandas.DataFrame.var : Equivalent method for DataFrame.
numpy.var : Equivalent method for Numpy array.
"""
return super().var()
@@ -1363,10 +1368,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
"""
return super().skew()
@@ -1382,10 +1387,10 @@ class RollingGroupby(RollingLike[FrameLike]):
See Also
--------
- Series.rolling : Calling object with Series data.
- DataFrame.rolling : Calling object with DataFrames.
- Series.var : Equivalent method for Series.
- DataFrame.var : Equivalent method for DataFrame.
+ pyspark.pandas.Series.rolling : Calling object with Series data.
+ pyspark.pandas.DataFrame.rolling : Calling object with DataFrames.
+ pyspark.pandas.Series.var : Equivalent method for Series.
+ pyspark.pandas.DataFrame.var : Equivalent method for DataFrame.
numpy.var : Equivalent method for Numpy array.
"""
return super().kurt()
@@ -1458,10 +1463,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.count : Count of the full Series.
- DataFrame.count : Count of the full DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.count : Count of the full Series.
+ pyspark.pandas.DataFrame.count : Count of the full DataFrame.
Examples
--------
@@ -1499,10 +1504,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.sum : Reducing sum for Series.
- DataFrame.sum : Reducing sum for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.sum : Reducing sum for Series.
+ pyspark.pandas.DataFrame.sum : Reducing sum for DataFrame.
Examples
--------
@@ -1561,10 +1566,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with a Series.
- DataFrame.expanding : Calling object with a DataFrame.
- Series.min : Similar method for Series.
- DataFrame.min : Similar method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with a Series.
+ pyspark.pandas.DataFrame.expanding : Calling object with a DataFrame.
+ pyspark.pandas.Series.min : Similar method for Series.
+ pyspark.pandas.DataFrame.min : Similar method for DataFrame.
Examples
--------
@@ -1597,10 +1602,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.max : Similar method for Series.
- DataFrame.max : Similar method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.max : Similar method for Series.
+ pyspark.pandas.DataFrame.max : Similar method for DataFrame.
Examples
--------
@@ -1634,10 +1639,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.mean : Equivalent method for Series.
- DataFrame.mean : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.mean : Equivalent method for Series.
+ pyspark.pandas.DataFrame.mean : Equivalent method for DataFrame.
Examples
--------
@@ -1737,10 +1742,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
Examples
@@ -1787,10 +1792,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.var : Equivalent method for Series.
- DataFrame.var : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.var : Equivalent method for Series.
+ pyspark.pandas.DataFrame.var : Equivalent method for DataFrame.
numpy.var : Equivalent method for Numpy array.
Examples
@@ -1837,10 +1842,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
Examples
@@ -1889,10 +1894,10 @@ class Expanding(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.var : Equivalent method for Series.
- DataFrame.var : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.var : Equivalent method for Series.
+ pyspark.pandas.DataFrame.var : Equivalent method for DataFrame.
numpy.var : Equivalent method for Numpy array.
Examples
@@ -1959,10 +1964,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.count : Count of the full Series.
- DataFrame.count : Count of the full DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.count : Count of the full Series.
+ pyspark.pandas.DataFrame.count : Count of the full DataFrame.
Examples
--------
@@ -2013,10 +2018,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.sum : Reducing sum for Series.
- DataFrame.sum : Reducing sum for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.sum : Reducing sum for Series.
+ pyspark.pandas.DataFrame.sum : Reducing sum for DataFrame.
Examples
--------
@@ -2067,10 +2072,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with a Series.
- DataFrame.expanding : Calling object with a DataFrame.
- Series.min : Similar method for Series.
- DataFrame.min : Similar method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with a Series.
+ pyspark.pandas.DataFrame.expanding : Calling object with a DataFrame.
+ pyspark.pandas.Series.min : Similar method for Series.
+ pyspark.pandas.DataFrame.min : Similar method for DataFrame.
Examples
--------
@@ -2120,10 +2125,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.max : Similar method for Series.
- DataFrame.max : Similar method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.max : Similar method for Series.
+ pyspark.pandas.DataFrame.max : Similar method for DataFrame.
Examples
--------
@@ -2174,10 +2179,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.mean : Equivalent method for Series.
- DataFrame.mean : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.mean : Equivalent method for Series.
+ pyspark.pandas.DataFrame.mean : Equivalent method for DataFrame.
Examples
--------
@@ -2299,10 +2304,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding: Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding: Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
"""
return super().std()
@@ -2318,10 +2323,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.var : Equivalent method for Series.
- DataFrame.var : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.var : Equivalent method for Series.
+ pyspark.pandas.DataFrame.var : Equivalent method for DataFrame.
numpy.var : Equivalent method for Numpy array.
"""
return super().var()
@@ -2338,10 +2343,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding: Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.std : Equivalent method for Series.
- DataFrame.std : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding: Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.std : Equivalent method for Series.
+ pyspark.pandas.DataFrame.std : Equivalent method for DataFrame.
numpy.std : Equivalent method for Numpy array.
"""
return super().skew()
@@ -2357,10 +2362,10 @@ class ExpandingGroupby(ExpandingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.var : Equivalent method for Series.
- DataFrame.var : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.var : Equivalent method for Series.
+ pyspark.pandas.DataFrame.var : Equivalent method for DataFrame.
numpy.var : Equivalent method for Numpy array.
"""
return super().kurt()
@@ -2512,10 +2517,10 @@ class ExponentialMoving(ExponentialMovingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.mean : Equivalent method for Series.
- DataFrame.mean : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.mean : Equivalent method for Series.
+ pyspark.pandas.DataFrame.mean : Equivalent method for DataFrame.
Examples
--------
@@ -2613,10 +2618,10 @@ class ExponentialMovingGroupby(ExponentialMovingLike[FrameLike]):
See Also
--------
- Series.expanding : Calling object with Series data.
- DataFrame.expanding : Calling object with DataFrames.
- Series.mean : Equivalent method for Series.
- DataFrame.mean : Equivalent method for DataFrame.
+ pyspark.pandas.Series.expanding : Calling object with Series data.
+ pyspark.pandas.DataFrame.expanding : Calling object with DataFrames.
+ pyspark.pandas.Series.mean : Equivalent method for Series.
+ pyspark.pandas.DataFrame.mean : Equivalent method for DataFrame.
Examples
--------
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