8000 BUG: Allow Series with same name with crosstab (#13279) by mroeschke · Pull Request #16028 · pandas-dev/pandas · GitHub
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BUG: Allow Series with same name with crosstab (#13279) #16028

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Merged
merged 8 commits into from
Jul 30, 2017
Merged

BUG: Allow Series with same name with crosstab (#13279) #16028

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bf3c4d1
BUG: Allow series with same in with crosstab (#13279)
mroeschke Apr 17, 2017
e825ec9
Add whatsnew
mroeschke Apr 17, 2017
c81c478
Accidentally added some files
mroeschke Jul 27, 2017
913baa7
Explain the logic of the fix
mroeschke Jul 30, 2017
4b5302e
Revert 0.20.0 whatsnew
mroeschke Jul 30, 2017
81c8caf
Revert "Revert 0.20.0 whatsnew"
mroeschke Jul 30, 2017
fabb2b9
Revert 0.20.0 whatsnew
mroeschke Jul 30, 2017
45daa14
Add related issue number and add period
mroeschke Jul 30, 2017
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@mroeschke
mroeschke committed Jul 27, 2017
commit e825ec929506bdf2ca9059c5422a4328097555a6
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.20.0.txt
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Expand Up @@ -1702,7 +1702,7 @@ Reshaping
- Bug in ``DataFrame.pivot_table()`` where ``dropna=True`` would not drop all-NaN columns when the columns was a ``category`` dtype (:issue:`15193`)
- Bug in ``pd.melt()`` where passing a tuple value for ``value_vars`` caused a ``TypeError`` (:issue:`15348`)
- Bug in ``pd.pivot_table()`` where no error was raised when values argument was not in the columns (:issue:`14938`)
- Bug in ``pd.concat()`` in which concatenating with an empty dataframe with ``join='inner'`` was being improperly handled (:issue:`15328`)
- Bug in ``pd.concat()`` in which concatting with an empty dataframe with ``join='inner'`` was being improperly handled (:issue:`15328`)
- Bug with ``sort=True`` in ``DataFrame.join`` and ``pd.merge`` when joining on indexes (:issue:`15582`)
- Bug in ``DataFrame.nsmallest`` and ``DataFrame.nlargest`` where identical values resulted in duplicated rows (:issue:`15297`)

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