DOC: Capitalize docstring summaries of Series

pandas/core/arrays/sparse.py

@@ -1861,6 +1861,10 @@ def _make_index(length, indices, kind):
                               'sp_values'],
                 typ='property')
 class SparseAccessor(PandasDelegate):
+    """
+    Accessor for SparseSparse from other sparse matrix data types.
+    """
+
     def __init__(self, data=None):
         self._validate(data)
         # Store the Series since we need that for to_coo

pandas/core/base.py

@@ -668,12 +668,14 @@ class IndexOpsMixin(object):
     __array_priority__ = 1000
 
     def transpose(self, *args, **kwargs):
-        """ return the transpose, which is by definition self """
+        """
+        Return the transpose, which is by definition self.
+        """
         nv.validate_transpose(args, kwargs)
         return self
 
-    T = property(transpose, doc="return the transpose, which is by "
-                                "definition self")
+    T = property(transpose, doc="Return the transpose, which is by "
+                                "definition self.")
 
     @property
     def _is_homogeneous_type(self):
@@ -692,19 +694,22 @@ def _is_homogeneous_type(self):
 
     @property
     def shape(self):
-        """ return a tuple of the shape of the underlying data """
+        """
+        Return a tuple of the shape of the underlying data.
+        """
         return self._values.shape
 
     @property
     def ndim(self):
-        """ return the number of dimensions of the underlying data,
-        by definition 1
+        """
+        Return the number of dimensions of the underlying data,
+        by definition 1.
         """
         return 1
 
     def item(self):
-        """ return the first element of the underlying data as a python
-        scalar
+        """
+        Return the first element of the underlying data as a python scalar.
         """
         try:
             return self.values.item()
@@ -715,50 +720,62 @@ def item(self):
 
     @property
     def data(self):
-        """ return the data pointer of the underlying data """
+        """
+        Return the data pointer of the underlying data.
+        """
         warnings.warn("{obj}.data is deprecated and will be removed "
                       "in a future version".format(obj=type(self).__name__),
                       FutureWarning, stacklevel=2)
         return self.values.data
 
     @property
     def itemsize(self):
-        """ return the size of the dtype of the item of the underlying data """
+        """
+        Return the size of the dtype of the item of the underlying data.
+        """
         warnings.warn("{obj}.itemsize is deprecated and will be removed "
                       "in a future version".format(obj=type(self).__name__),
                       FutureWarning, stacklevel=2)
         return self._ndarray_values.itemsize
 
     @property
     def nbytes(self):
-        """ return the number of bytes in the underlying data """
+        """
+        Return the number of bytes in the underlying data.
+        """
         return self._values.nbytes
 
     @property
     def strides(self):
-        """ return the strides of the underlying data """
+        """
+        Return the strides of the underlying data.
+        """
         warnings.warn("{obj}.strides is deprecated and will be removed "
                       "in a future version".format(obj=type(self).__name__),
                       FutureWarning, stacklevel=2)
         return self._ndarray_values.strides
 
     @property
     def size(self):
-        """ return the number of elements in the underlying data """
+        """
+        Return the number of elements in the underlying data.
+        """
         return self._values.size
 
     @property
     def flags(self):
-        """ return the ndarray.flags for the underlying data """
+        """
+        Return the ndarray.flags for the underlying data.
+        """
         warnings.warn("{obj}.flags is deprecated and will be removed "
                       "in a future version".format(obj=type(self).__name__),
                       FutureWarning, stacklevel=2)
         return self.values.flags
 
     @property
     def base(self):
-        """ return the base object if the memory of the underlying data is
-        shared
+        """
+        Return the base object if the memory of the underlying data is shared.
         """
         warnings.warn("{obj}.base is deprecated and will be removed "
                       "in a future version".format(obj=type(self).__name__),
@@ -818,7 +835,7 @@ def max(self):
 
     def argmax(self, axis=None):
         """
-        return a ndarray of the maximum argument indexer
+        Return a ndarray of the maximum argument indexer.
 
         See Also
         --------
@@ -861,7 +878,7 @@ def min(self):
 
     def argmin(self, axis=None):
         """
-        return a ndarray of the minimum argument indexer
+        Return a ndarray of the minimum argument indexer.
 
         See Also
         --------
@@ -900,7 +917,9 @@ def __iter__(self):
 
     @cache_readonly
     def hasnans(self):
-        """ return if I have any nans; enables various perf speedups """
+        """
+        Return if I have any nans; enables various perf speedups.
+        """
         return bool(isna(self).any())
 
     def _reduce(self, op, name, axis=0, skipna=True, numeric_only=None,

pandas/core/generic.py

@@ -2331,7 +2331,7 @@ def to_hdf(self, path_or_buf, key, **kwargs):
 
     def to_msgpack(self, path_or_buf=None, encoding='utf-8', **kwargs):
         """
-        msgpack (serialize) object to input file path
+        Serialize object to input file path using msgpack format.
 
         THIS IS AN EXPERIMENTAL LIBRARY and the storage format
         may not be stable until a future release.

pandas/core/indexes/base.py

@@ -2243,7 +2243,9 @@ def _nan_idxs(self):
 
     @cache_readonly
     def hasnans(self):
-        """ return if I have any nans; enables various perf speedups """
+        """
+        Return if I have any nans; enables various perf speedups.
+        """
         if self._can_hold_na:
             return bool(self._isnan.any())
         else:

pandas/core/indexes/datetimelike.py

@@ -80,7 +80,7 @@ class TimelikeOps(object):
 
     _round_doc = (
         """
-        {op} the data to the specified `freq`.
+        Perform {op} operation on the data to the specified `freq`.
 
         Parameters
         ----------

pandas/core/series.py

@@ -118,7 +118,7 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     Parameters
     ----------
     data : array-like, Iterable, dict, or scalar value
-        Contains data stored in Series
+        Contains data stored in Series.
 
         .. versionchanged :: 0.23.0
            If data is a dict, argument order is maintained for Python 3.6
@@ -133,8 +133,8 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     dtype : str, numpy.dtype, or ExtensionDtype, optional
         dtype for the output Series. If not specified, this will be
         inferred from `data`.
-    copy : boolean, default False
-        Copy input data
+    copy : bool, default False
+        Copy input data.
     """
     _metadata = ['name']
     _accessors = {'dt', 'cat', 'str', 'sparse'}
@@ -389,22 +389,30 @@ def name(self, value):
     # ndarray compatibility
     @property
     def dtype(self):
-        """ return the dtype object of the underlying data """
+        """
+        Return the dtype object of the underlying data.
+        """
         return self._data.dtype
 
     @property
     def dtypes(self):
-        """ return the dtype object of the underlying data """
+        """
+        Return the dtype object of the underlying data.
+        """
         return self._data.dtype
 
     @property
     def ftype(self):
-        """ return if the data is sparse|dense """
+        """
+        Return if the data is sparse|dense.
+        """
         return self._data.ftype
 
     @property
     def ftypes(self):
-        """ return if the data is sparse|dense """
+        """
+        Return if the data is sparse|dense.
+        """
         return self._data.ftype
 
     @property
@@ -441,7 +449,9 @@ def values(self):
 
     @property
     def _values(self):
-        """ return the internal repr of this data """
+        """
+        Return the internal repr of this data.
+        """
         return self._data.internal_values()
 
     def _formatting_values(self):
@@ -451,7 +461,9 @@ def _formatting_values(self):
         return self._data.formatting_values()
 
     def get_values(self):
-        """ same as values (but handles sparseness conversions); is a view """
+        """
+        Same as values (but handles sparseness conversions); is a view.
+        """
         return self._data.get_values()
 
     @property
@@ -3443,9 +3455,9 @@ def rename(self, index=None, **kwargs):
             the index.
             Scalar or hashable sequence-like will alter the ``Series.name``
             attribute.
-        copy : boolean, default True
+        copy : bool, default True
             Also copy underlying data
-        inplace : boolean, default False
+        inplace : bool, default False
             Whether to return a new Series. If True then value of copy is
             ignored.
         level : int or level name, default None