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DOC: added examples for index assignment using Series #46064

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DOC: added examples for index assignment using Series
Feb 18, 2022
df4758f
Merge remote-tracking branch 'upstream/main' into reindex_doc
Feb 24, 2022
b241dc3
updated documentation for clarity
Feb 24, 2022
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Merge branch 'main' into reindex_doc
datapythonista Apr 4, 2022
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32 changes: 32 additions & 0 deletions pandas/core/indexing.py
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Expand Up @@ -449,6 +449,38 @@ def loc(self) -> _LocIndexer:
8 4 5
9 7 8

**Set values with a Series**
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this is ok but really not very idiomatic e.g. these should be on the __setitem__ doc-string e.g.
df['shield'] =

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Looks like this is the docstring of .loc, that's why is using this idiom.

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sure but these are not idiomatic patterns for setting a column; sure if you have a mask then its the idimoatic way, but NOT for a column.

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@marco-georgaklis marco-georgaklis Apr 12, 2022 •
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Sorry, new contributor here. Where exactly should I be moving this documentation? Is it within this file (indexing.py)?


Setting column values using a Series aligns along the index values of
the Series and DataFrame

>>> df.loc[:, 'shield'] = pd.Series({7: 8, 8: 10, 9: 13})
>>> df
max_speed shield
7 1 8
8 4 10
9 7 13

Where the index values are not found in the Series index, the values
will be NaN

>>> df.loc[:, 'shield'] = pd.Series({8: 10})
>>> df
max_speed shield
7 1 NaN
8 4 10.0
9 7 NaN

Setting value to Series with a missing index leaves the DataFrame
unchanged

>>> df.loc[:, 'shield'] = pd.Series({11: 14})
>>> df
max_speed shield
7 1 NaN
8 4 NaN
9 7 NaN

**Getting values with a MultiIndex**

A number of examples using a DataFrame with a MultiIndex
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