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DOC: Example of Dataframe given in SeriesGroupBy.transform #49901

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@ramvikrams

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@ramvikrams

Pandas version checks

  • I have checked that the issue still exists on the latest versions of the docs on main here

Location of the documentation

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.transform.html

Documentation problem

>>> df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',
...                           'foo', 'bar'],
...                    'B' : ['one', 'one', 'two', 'three',
...                           'two', 'two'],
...                    'C' : [1, 5, 5, 2, 5, 5],
...                    'D' : [2.0, 5., 8., 1., 2., 9.]})
>>> grouped = df.groupby('A')[['C', 'D']]
>>> grouped.transform(lambda x: (x - x.mean()) / x.std())
          C         D
0 -1.154701 -0.577350
1  0.577350  0.000000
2  0.577350  1.154701
3 -1.154701 -1.000000
4  0.577350 -0.577350
5  0.577350  1.000000

This is the current example in SeriesGroupBy.tranform

Suggested fix for documentation

It should be changed with
grouped: pd.Series=df.groupby('A')[['C', 'D']]
just to make it clear it becomes hard for first timers

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