Rt05 documentation error fix issue 25108

pandas/core/algorithms.py

@@ -291,7 +291,7 @@ def unique(values):
  unique values.
  If the input is an Index, the return is an Index
  If the input is a Categorical dtype, the return is a Categorical
- If the input is a Series/ndarray, the return will be an ndarray
+ If the input is a Series/ndarray, the return will be an ndarray.
 
  See Also
  --------

pandas/core/arrays/categorical.py

@@ -1292,7 +1292,7 @@ def __array__(self, dtype=None):
  values : numpy array
  A numpy array of either the specified dtype or,
  if dtype==None (default), the same dtype as
- categorical.categories.dtype
+ categorical.categories.dtype.
  """
  ret = take_1d(self.categories.values, self._codes)
  if dtype and not is_dtype_equal(dtype, self.categories.dtype):

pandas/core/arrays/datetimelike.py

@@ -154,7 +154,7 @@ def strftime(self, date_format):
  Returns
  -------
  Index
- Index of formatted strings
+ Index of formatted strings.
 
  See Also
  --------

pandas/core/frame.py

@@ -2743,7 +2743,7 @@ def set_value(self, index, col, value, takeable=False):
  -------
  frame : DataFrame
  If label pair is contained, will be reference to calling DataFrame,
- otherwise a new object
+ otherwise a new object.
  """
  warnings.warn("set_value is deprecated and will be removed "
  "in a future release. Please use "

pandas/core/generic.py

@@ -4953,7 +4953,7 @@ def pipe(self, func, *args, **kwargs):
  If DataFrame.agg is called with a single function, returns a Series
  If DataFrame.agg is called with several functions, returns a DataFrame
  If Series.agg is called with single function, returns a scalar
- If Series.agg is called with several functions, returns a Series
+ If Series.agg is called with several functions, returns a Series.
 
  %(see_also)s
 
@@ -5349,7 +5349,7 @@ def get_values(self):
  Returns
  -------
  numpy.ndarray
- Numpy representation of DataFrame
+ Numpy representation of DataFrame.
 
  See Also
  --------
@@ -5428,7 +5428,7 @@ def get_ftype_counts(self):
  -------
  dtype : Series
  Series with the count of columns with each type and
- sparsity (dense/sparse)
+ sparsity (dense/sparse).
 
  See Also
  --------
@@ -6657,7 +6657,7 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
  -------
  Series or DataFrame
  Returns the same object type as the caller, interpolated at
- some or all ``NaN`` values
+ some or all ``NaN`` values.
 
  See Also
  --------
@@ -6877,11 +6877,11 @@ def asof(self, where, subset=None):
  -------
  scalar, Series, or DataFrame
 
- Scalar : when `self` is a Series and `where` is a scalar
+ Scalar : when `self` is a Series and `where` is a scalar.
  Series: when `self` is a Series and `where` is an array-like,
- or when `self` is a DataFrame and `where` is a scalar
+ or when `self` is a DataFrame and `where` is a scalar.
  DataFrame : when `self` is a DataFrame and `where` is an
- array-like
+ array-like.
 
  See Also
  --------
@@ -7235,7 +7235,7 @@ def clip(self, lower=None, upper=None, axis=None, inplace=False,
  -------
  Series or DataFrame
  Same type as calling object with the values outside the
- clip boundaries replaced
+ clip boundaries replaced.
 
  Examples
  --------
@@ -8386,7 +8386,7 @@ def ranker(data):
  Returns
  -------
  (left, right) : (%(klass)s, type of other)
- Aligned objects
+ Aligned objects.
  """)
 
  @Appender(_shared_docs['align'] % _shared_doc_kwargs)

pandas/core/indexes/base.py

@@ -1828,7 +1828,7 @@ def isna(self):
  Returns
  -------
  numpy.ndarray
- A boolean array of whether my values are NA
+ A boolean array of whether my values are NA.
 
  See Also
  --------
@@ -3098,9 +3098,9 @@ def reindex(self, target, method=None, level=None, limit=None,
  Returns
  -------
  new_index : pd.Index
- Resulting index
+ Resulting index.
  indexer : np.ndarray or None
- Indices of output values in original index
+ Indices of output values in original index.
 
  """
  # GH6552: preserve names when reindexing to non-named target
@@ -4259,7 +4259,7 @@ def shift(self, periods=1, freq=None):
  Returns
  -------
  pandas.Index
- Shifted index
+ Shifted index.
 
  See Also
  --------
@@ -4422,7 +4422,7 @@ def set_value(self, arr, key, value):
  in the target are marked by -1.
  missing : ndarray of int
  An indexer into the target of the values not found.
- These correspond to the -1 in the indexer array
+ These correspond to the -1 in the indexer array.
  """
 
  @Appender(_index_shared_docs['get_indexer_non_unique'] % _index_doc_kwargs)

pandas/core/indexes/multi.py

@@ -1956,7 +1956,7 @@ def swaplevel(self, i=-2, j=-1):
  Returns
  -------
  MultiIndex
- A new MultiIndex
+ A new MultiIndex.
 
  .. versionchanged:: 0.18.1
 
@@ -2053,9 +2053,9 @@ def sortlevel(self, level=0, ascending=True, sort_remaining=True):
  Returns
  -------
  sorted_index : pd.MultiIndex
- Resulting index
+ Resulting index.
  indexer : np.ndarray
- Indices of output values in original index
+ Indices of output values in original index.
  """
  from pandas.core.sorting import indexer_from_factorized
 

pandas/core/panel.py

@@ -540,7 +540,7 @@ def set_value(self, *args, **kwargs):
  -------
  panel : Panel
  If label combo is contained, will be reference to calling Panel,
- otherwise a new object
+ otherwise a new object.
  """
  warnings.warn("set_value is deprecated and will be removed "
  "in a future release. Please use "
@@ -803,7 +803,7 @@ def major_xs(self, key):
  Returns
  -------
  y : DataFrame
- Index -> minor axis, columns -> items
+ Index -> minor axis, columns -> items.
 
  Notes
  -----
@@ -827,7 +827,7 @@ def minor_xs(self, key):
  Returns
  -------
  y : DataFrame
- Index -> major axis, columns -> items
+ Index -> major axis, columns -> items.
 
  Notes
  -----

pandas/core/reshape/melt.py

@@ -230,7 +230,7 @@ def wide_to_long(df, stubnames, i, j, sep="", suffix=r'\d+'):
  -------
  DataFrame
  A DataFrame that contains each stub name as a variable, with new index
- (i, j)
+ (i, j).
 
  Notes
  -----

pandas/core/series.py

@@ -1215,7 +1215,7 @@ def set_value(self, label, value, takeable=False):
  -------
  Series
  If label is contained, will be reference to calling Series,
- otherwise a new object
+ otherwise a new object.
  """
  warnings.warn("set_value is deprecated and will be removed "
  "in a future release. Please use "
@@ -1658,7 +1658,7 @@ def unique(self):
  * Datetime with Timezone
  * Interval
  * Sparse
- * IntegerNA
+ * IntegerNA.
 
  See Also
  --------

pandas/core/tools/numeric.py

@@ -59,7 +59,7 @@ def to_numeric(arg, errors='raise', downcast=None):
  Returns
  -------
  ret : numeric if parsing succeeded.
- Return type depends on input. Series if Series, otherwise ndarray
+ Return type depends on input. Series if Series, otherwise ndarray.
 
  See Also
  --------

pandas/core/window.py

@@ -1271,7 +1271,7 @@ def skew(self, **kwargs):
  -------
  Series or DataFrame
  Returned object type is determined by the caller of the %(name)s
- calculation
+ calculation.
 
  See Also
  --------

pandas/io/formats/style.py

@@ -435,7 +435,7 @@ def render(self, **kwargs):
  Returns
  -------
  rendered : str
- The rendered HTML
+ The rendered HTML.
 
  Notes
  -----

pandas/plotting/_core.py

@@ -2061,7 +2061,7 @@ def plot_series(data, kind='line', ax=None, # Series unique
  For data grouped with ``by``:
 
  * :class:`~pandas.Series`
- * :class:`~numpy.array` (for ``return_type = None``)
+ * :class:`~numpy.array` (for ``return_type = None``).
 
  See Also
  --------
@@ -3332,7 +3332,7 @@ def area(self, x=None, y=None, **kwds):
  Returns
  -------
  matplotlib.axes.Axes or numpy.ndarray
- Area plot, or array of area plots if subplots is True
+ Area plot, or array of area plots if subplots is True.
 
  See Also
  --------

pandas/plotting/_misc.py

@@ -390,7 +390,7 @@ def bootstrap_plot(series, fig=None, size=50, samples=500, **kwds):
  Returns
  -------
  fig : matplotlib.figure.Figure
- Matplotlib figure
+ Matplotlib figure.
 
  See Also
  --------

pandas/tseries/frequencies.py

@@ -68,7 +68,7 @@ def to_offset(freq):
  Returns
  -------
  delta : DateOffset
- None if freq is None
+ None if freq is None.
 
  Raises
  ------