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DOC: Update series apply docstring. GH22459 #22510

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Merged
merged 6 commits into from
Nov 24, 2018
Merged

DOC: Update series apply docstring. GH22459 #22510

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9b17810
DOC: Updated Series.apply docstring. GH22459
eldritchideen Aug 26, 2018
817379f
DOC: Updated wording.
eldritchideen Aug 26, 2018
5baa4fd
DOC: Removed type from **kwds parameter.
eldritchideen Aug 28, 2018
d07650f
DOC: Updated Series.apply docstring based on review feedback.
eldritchideen Sep 4, 2018
0eb4e8c
DOC: Removed trailing whitespace.
eldritchideen Sep 4, 2018
d5c13b2
Merging from master, and last comments from review addressed
datapythonista Nov 24, 2018
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14 changes: 7 additions & 7 deletions pandas/core/series.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3104,17 +3104,19 @@ def apply(self, func, convert_dtype=True, args=(), **kwds):
"""
Invoke function on values of Series. Can be ufunc (a NumPy function
that applies to the entire Series) or a Python function that only works
on single values
on single values.
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Can you have a single line description first, and the rest later. You have the documentation about this here:
https://pandas.pydata.org/pandas-docs/stable/contributing_docstring.html

If you run ./scripts/validate_docstrings.py pandas.Series.apply should report an error about it.


Parameters
----------
func : function
convert_dtype : boolean, default True
Python function or NumPy ufunc.
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may be we can say "Python function or NumPy ufunc to apply."?

convert_dtype : bool, default True
Try to find better dtype for elementwise function results. If
False, leave as dtype=object
False, leave as dtype=object.
args : tuple
Positional arguments to pass to function in addition to the value
Additional keyword arguments will be passed as keywords to the function
Positional arguments to pass to func in addition to the value.
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"in addition to the value" - can we clarify what that means?

**kwds :
Additional keyword arguments passed to func.

Returns
-------
Expand Down Expand Up @@ -3193,8 +3195,6 @@ def apply(self, func, convert_dtype=True, args=(), **kwds):
New York 3.044522
Helsinki 2.484907
dtype: float64


"""
if len(self) == 0:
return self._constructor(dtype=self.dtype,
Expand Down