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Feb 27, 2020
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DOC: Add example for multiindex series and dataframe merge #32068

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Add example in docs for multiindex series and dataframe merge
ryankarlos Feb 18, 2020
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shift description to correct location
ryankarlos Feb 18, 2020
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ryankarlos Feb 18, 2020
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ryankarlos Feb 24, 2020
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ryankarlos Feb 24, 2020
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ryankarlos Feb 27, 2020
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21 changes: 21 additions & 0 deletions doc/source/user_guide/merging.rst
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Expand Up @@ -724,6 +724,27 @@ either the left or right tables, the values in the joined table will be
labels=['left', 'right'], vertical=False);
plt.close('all');

You can merge a mult-indexed Series and a DataFrame, if the names of
the MultiIndex correspond to the columns from the DataFrame. Transform
the Series to a DataFrame using :meth:`Series.reset_index` before merging,
as shown in the following example.

.. ipython:: python

df = pd.DataFrame({"Let": ["A", "B", "C"], "Num": [1, 2, 3]})
df

ser = pd.Series(
["a", "b", "c", "d", "e", "f"],
index=pd.MultiIndex.from_arrays(
[["A", "B", "C"] * 2, [1, 2, 3, 4, 5, 6]], names=["Let", "Num"]
),
)
ser

result = pd.merge(df, ser.reset_index(), on=['Let', 'Num'])
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just

   pd.merge(df, ser.reset_index(), on=['Let', 'Num'])

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@ryankarlos ryankarlos Feb 29, 2020 •
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ok just fixed this in PR #32370 - looking at the rendered docs - how are the diagrams of the df displayed ?

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ok just fixed this in PR #32370

thanks

how are the diagrams of the df displayed ?

since we have a Series and a DataFrame, that format is probably not applicable.

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ok - thanks. PR #32370 is all green now.



Here is another example with duplicate join keys in DataFrames:

.. ipython:: python
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