8000 ENH: try to preserve the dtype on combine_first for the case where the two DataFrame objects have the same columns by danielhrisca · Pull Request #39051 · pandas-dev/pandas · GitHub
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ENH: try to preserve the dtype on combine_first for the case where the two DataFrame objects have the same columns #39051

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Merged
merged 13 commits into from
Jan 15, 2021
Merged

ENH: try to preserve the dtype on combine_first for the case where the two DataFrame objects have the same columns #39051

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0c1d126
ENH: add argument to preserve dtypes of common columns in combine_first
danielhrisca Jan 11, 2021
1a5fe0f
fix black code style
danielhrisca Jan 11, 2021
24f6ffc
fix misspelled word in docstring
danielhrisca Jan 11, 2021
d0f9ed3
update tests and remove preserve_dtypes argument from combine_first
danielhrisca Jan 11, 2021
198eaa4
fix isort and flake8 errors
danielhrisca Jan 11, 2021
f209590
updates according to erview
danielhrisca Jan 12, 2021
5e252d0
update whatsnew with example code
danielhrisca Jan 12, 2021
7c67e3c
wrong header in documentation
danielhrisca Jan 12, 2021
47d0911
fix black code style
danielhrisca Jan 12, 2021
1b5691c
update whatsnew with example code as requested in the review
danielhrisca Jan 13, 2021
ba49f9c
remove redundant check
danielhrisca Jan 13, 2021
a2d4e38
further fix and polish the whatsnew entry
danielhrisca Jan 13, 2021
f937928
fix single letter variable names
danielhrisca Jan 15, 2021
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further fix and polish the whatsnew entry
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@danielhrisca
danielhrisca committed Jan 13, 2021
commit a2d4e383c6d9b6541bda10f65921b6a9595c94b6
27 changes: 5 additions & 22 deletions doc/source/whatsnew/v1.3.0.rst < F781 span data-view-component="true">
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Expand Up @@ -73,44 +73,27 @@ Preserve dtypes in :meth:`~pandas.DataFrame.combine_first`
.. ipython:: python

df1 = pd.DataFrame({"A": [1, 2, 3], "B": [1, 2, 3]}, index=[0, 1, 2])
df1
df2 = pd.DataFrame({"B": [4, 5, 6], "C": [1, 2, 3]}, index=[2, 3, 4])
df2
combined = df1.combine_first(df2)

*pandas 1.2.x*

.. code-block:: ipython

In [1]: (combined, "---------------", combined.dtypes)
In [1]: combined.dtypes
Out[2]:
( A B C
0 1.0 1.0 NaN
1 2.0 2.0 NaN
2 3.0 3.0 1.0
3 NaN 5.0 2.0
4 NaN 6.0 3.0,
'---------------',
A float64
B float64
C float64
dtype: object)
dtype: object

*pandas 1.3.0*

.. ipython:: python

In [1]: (combined, "---------------", combined.dtypes)
Out[2]:
( A B C
0 1.0 1 NaN
1 2.0 2 NaN
2 3.0 3 1.0
3 NaN 5 2.0
4 NaN 6 3.0,
'---------------',
A float64
B int64
C float64
dtype: object)
combined.dtypes


.. _whatsnew_130.api_breaking.deps:
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