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Fix SS06 formatting errors #29263

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Merged
merged 3 commits into from
Oct 29, 2019
Merged

Fix SS06 formatting errors #29263

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bf28be3
Fix SS06 formatting errors
mcalingo Oct 29, 2019
f089d69
Remove trailing whitespaces in docstring
mcalingo Oct 29, 2019
2834de4
Use inital infinitive verb in docstring
mcalingo Oct 29, 2019
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20 changes: 11 additions & 9 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5251,8 +5251,7 @@ def swaplevel(self, i=-2, j=-1, axis=0):

def reorder_levels(self, order, axis=0):
"""
Rearrange index levels using input order. May not drop or
duplicate levels.
Rearrange index levels using input order. May not drop or duplicate levels.

Parameters
----------
Expand Down Expand Up @@ -5854,9 +5853,10 @@ def pivot(self, index=None, columns=None, values=None):
_shared_docs[
"pivot_table"
] = """
Create a spreadsheet-style pivot table as a DataFrame. The levels in
the pivot table will be stored in MultiIndex objects (hierarchical
indexes) on the index and columns of the result DataFrame.
Create a spreadsheet-style pivot table as a DataFrame.

The levels in the pivot table will be stored in MultiIndex objects
(hierarchical indexes) on the index and columns of the result DataFrame.

Parameters
----------%s
Expand Down Expand Up @@ -6249,8 +6249,9 @@ def explode(self, column: Union[str, Tuple]) -> "DataFrame":

def unstack(self, level=-1, fill_value=None):
"""
Pivot a level of the (necessarily hierarchical) index labels, returning
a DataFrame having a new level of column labels whose inner-most level
Pivot a level of the (necessarily hierarchical) index labels.

Returns a DataFrame having a new level of column labels whose inner-most level
consists of the pivoted index labels.

If the index is not a MultiIndex, the output will be a Series
Expand Down Expand Up @@ -6312,8 +6313,7 @@ def unstack(self, level=-1, fill_value=None):
_shared_docs[
"melt"
] = """
Unpivot a DataFrame from wide format to long format, optionally
leaving identifier variables set.
Unpivot a DataFrame from wide to long format, optionally leaving identifiers set.

This function is useful to massage a DataFrame into a format where one
or more columns are identifier variables (`id_vars`), while all other
Expand Down Expand Up @@ -7908,6 +7908,7 @@ def nunique(self, axis=0, dropna=True):
def idxmin(self, axis=0, skipna=True):
"""
Return index of first occurrence of minimum over requested axis.

NA/null values are excluded.

Parameters
Expand Down Expand Up @@ -7945,6 +7946,7 @@ def idxmin(self, axis=0, skipna=True):
def idxmax(self, axis=0, skipna=True):
"""
Return index of first occurrence of maximum over requested axis.

NA/null values are excluded.

Parameters
Expand Down
14 changes: 6 additions & 8 deletions pandas/core/generic.py
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Expand Up @@ -4353,8 +4353,9 @@ def sort_index(

def reindex(self, *args, **kwargs):
"""
Conform %(klass)s to new index with optional filling logic, placing
NA/NaN in locations having no value in the previous index. A new object
Conform %(klass)s to new index with optional filling logic.

Places NA/NaN in locations having no value in the previous index. A new object
is produced unless the new index is equivalent to the current one and
``copy=False``.

Expand Down Expand Up @@ -4669,8 +4670,7 @@ def _reindex_with_indexers(

def filter(self, items=None, like=None, regex=None, axis=None):
"""
Subset rows or columns of dataframe according to labels in
the specified index.
Subset the dataframe rows or columns according to the specified index labels.

Note that this routine does not filter a dataframe on its
contents. The filter is applied to the labels of the index.
Expand Down Expand Up @@ -8497,8 +8497,7 @@ def resample(

def first(self, offset):
"""
Convenience method for subsetting initial periods of time series data
based on a date offset.
Method to subset initial periods of time series data based on a date offset.

Parameters
----------
Expand Down Expand Up @@ -8560,8 +8559,7 @@ def first(self, offset):

def last(self, offset):
"""
Convenience method for subsetting final periods of time series data
based on a date offset.
Method to subset final periods of time series data based on a date offset.

Parameters
----------
Expand Down