8000 DOC: Fix errors in pandas.Series.argmin by farhanreynaldo · Pull Request #32286 · pandas-dev/pandas · GitHub
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DOC: Fix errors in pandas.Series.argmin #32286

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Merged
merged 18 commits into from
Mar 6, 2020
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DOC: Fix errors in pandas.Series.argmin #32286

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b75fddc
DOC: Fix errors in pandas.Series.argmin
Feb 27, 2020
827db07
Merge branch 'master' of https://github.com/pandas-dev/pandas into ar…
Feb 28, 2020
ef13499
Merge branch 'master' of https://github.com/pandas-dev/pandas into ar…
Feb 29, 2020
ae050f7
Merge branch 'master' of https://github.com/pandas-dev/pandas into ar…
Mar 2, 2020
353ce65
refactor argmax and argmin doc using @doc
Mar 2, 2020
3acc9dd
formatting using black pandas
Mar 2, 2020
a516ee6
Merge branch 'master' of https://github.com/pandas-dev/pandas into ar…
Mar 2, 2020
2bdd088
reduce parameter count from args
Mar 3, 2020
4de38a7
reduce parameter count from args
Mar 3, 2020
1714e12
Update pandas/core/base.py
farhanreynaldo Mar 3, 2020
a2696a9
Merge branch 'master' into argmin-doc
farhanreynaldo Mar 3, 2020
7f055ba
formatting by black pandas
Mar 4, 2020
a75a04a
Merge branch 'master' of https://github.com/pandas-dev/pandas into ar…
Mar 4, 2020
c89126a
combine examples and self-referencing
Mar 4, 2020
04c197a
remove argmax and argmin variables in See Also
Mar 4, 2020
ed7a161
Merge branch 'master' of https://github.com/pandas-dev/pandas into ar…
Mar 5, 2020
183833a
make doc decorator one-liner
Mar 5, 2020
1699089
Merge branch 'master' of https://github.com/pandas-dev/pandas into ar…
Mar 5, 2020
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Update pandas/core/base.py 
Co-Authored-By: Simon Hawkins <simonjayhawkins@gmail.com>
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@farhanreynaldo @simonjayhawkins
farhanreynaldo and simonjayhawkins authored Mar 3, 2020
commit 1714e128f7508d23786e94ccbf8d7c4dcc147fad
2 changes: 1 addition & 1 deletion pandas/core/base.py
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Expand Up @@ -958,7 +958,7 @@ def argmax(self, axis=None, skipna=True, *args, **kwargs):
See Also
--------
numpy.ndarray.arg{op} : Equivalent method for numpy arrays.
Series.arg{oppose} : Similar method, but returning the {oppose}inimum.
Series.arg{oppose} : Similar method, but returning the {oppose}imum.
Series.idxmax : Return index label of the maximum values.
Series.idxmin : Return index label of the minimum values.

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