DOC: Capitalize docstring summaries

pandas/_libs/tslibs/timedeltas.pyx

@@ -97,8 +97,8 @@ _no_input = object()
 @cython.wraparound(False)
 def ints_to_pytimedelta(int64_t[:] arr, box=False):
     """
-    convert an i8 repr to an ndarray of timedelta or Timedelta (if box ==
-    True)
+    Convert an i8 repr to an ndarray of timedelta or Timedelta (if box ==
+    True).
 
     Parameters
     ----------
@@ -823,7 +823,9 @@ cdef class _Timedelta(timedelta):
         return self.value / 1e9
 
     def view(self, dtype):
-        """ array view compat """
+        """
+        Array view compat.
+        """
         return np.timedelta64(self.value).view(dtype)
 
     @property
@@ -1226,7 +1228,7 @@ class Timedelta(_Timedelta):
 
     def floor(self, freq):
         """
-        return a new Timedelta floored to this resolution
+        Return a new Timedelta floored to this resolution.
 
         Parameters
         ----------
@@ -1236,7 +1238,7 @@ class Timedelta(_Timedelta):
 
     def ceil(self, freq):
         """
-        return a new Timedelta ceiled to this resolution
+        Return a new Timedelta ceiled to this resolution.
 
         Parameters
         ----------

pandas/_libs/tslibs/timestamps.pyx

@@ -579,7 +579,7 @@ class Timestamp(_Timestamp):
         """
         Timestamp.fromordinal(ordinal, freq=None, tz=None)
 
-        passed an ordinal, translate and convert to a ts
+        Passed an ordinal, translate and convert to a ts.
         note: by definition there cannot be any tz info on the ordinal itself
 
         Parameters
@@ -802,7 +802,7 @@ class Timestamp(_Timestamp):
 
     def floor(self, freq, ambiguous='raise', nonexistent='raise'):
         """
-        return a new Timestamp floored to this resolution
+        Return a new Timestamp floored to this resolution.
 
         Parameters
         ----------
@@ -834,7 +834,7 @@ class Timestamp(_Timestamp):
 
     def ceil(self, freq, ambiguous='raise', nonexistent='raise'):
         """
-        return a new Timestamp ceiled to this resolution
+        Return a new Timestamp ceiled to this resolution.
 
         Parameters
         ----------
@@ -1148,7 +1148,7 @@ class Timestamp(_Timestamp):
                 hour=None, minute=None, second=None, microsecond=None,
                 nanosecond=None, tzinfo=object, fold=0):
         """
-        implements datetime.replace, handles nanoseconds
+        Implements datetime.replace, handles nanoseconds.
 
         Parameters
         ----------

pandas/core/frame.py

@@ -1953,7 +1953,7 @@ def to_stata(self, fname, convert_dates=None, write_index=True,
 
     def to_feather(self, fname):
         """
-        write out the binary feather-format for DataFrames
+        Write out the binary feather-format for DataFrames
 
         .. versionadded:: 0.20.0
 

pandas/core/groupby/groupby.py

@@ -384,7 +384,9 @@ def _assure_grouper(self):
 
     @property
     def groups(self):
-        """ dict {group name -> group labels} """
+        """
+        Dict {group name -> group labels}.
+        """
         self._assure_grouper()
         return self.grouper.groups
 
@@ -395,7 +397,9 @@ def ngroups(self):
 
     @property
     def indices(self):
-        """ dict {group name -> group indices} """
+        """
+        Dict {group name -> group indices}
+        """
         self._assure_grouper()
         return self.grouper.indices
 

pandas/core/indexes/base.py

@@ -690,17 +690,23 @@ def __array_wrap__(self, result, context=None):
 
     @cache_readonly
     def dtype(self):
-        """ return the dtype object of the underlying data """
+        """
+        Return the dtype object of the underlying data.
+        """
         return self._data.dtype
 
     @cache_readonly
     def dtype_str(self):
-        """ return the dtype str of the underlying data """
+        """
+        Return the dtype str of the underlying data.
+        """
         return str(self.dtype)
 
     @property
     def values(self):
-        """ return the underlying data as an ndarray """
+        """
+        Return the underlying data as an ndarray.
+        """
         return self._data.view(np.ndarray)
 
     @property
@@ -825,12 +831,12 @@ def repeat(self, repeats, *args, **kwargs):
         return self._shallow_copy(self._values.repeat(repeats))
 
     _index_shared_docs['where'] = """
-        .. versionadded:: 0.19.0
-
         Return an Index of same shape as self and whose corresponding
         entries are from self where cond is True and otherwise are from
         other.
 
+        .. versionadded:: 0.19.0
+
         Parameters
         ----------
         cond : boolean array-like with the same length as self
@@ -862,7 +868,7 @@ def where(self, cond, other=None):
 
     def ravel(self, order='C'):
         """
-        return an ndarray of the flattened values of the underlying data
+        Return an ndarray of the flattened values of the underlying data
 
         See Also
         --------
@@ -1124,7 +1130,7 @@ def to_flat_index(self):
     def to_series(self, index=None, name=None):
         """
         Create a Series with both index and values equal to the index keys
-        useful with map for returning an indexer based on an index
+        useful with map for returning an indexer based on an index.
 
         Parameters
         ----------
@@ -1493,13 +1499,15 @@ def _mpl_repr(self):
     # introspection
     @property
     def is_monotonic(self):
-        """ alias for is_monotonic_increasing (deprecated) """
+        """
+        Alias for is_monotonic_increasing (deprecated).
+        """
         return self.is_monotonic_increasing
 
     @property
     def is_monotonic_increasing(self):
         """
-        return if the index is monotonic increasing (only equal or
+        Return if the index is monotonic increasing (only equal or
         increasing) values.
 
         Examples
@@ -1516,7 +1524,7 @@ def is_monotonic_increasing(self):
     @property
     def is_monotonic_decreasing(self):
         """
-        return if the index is monotonic decreasing (only equal or
+        Return if the index is monotonic decreasing (only equal or
         decreasing) values.
 
         Examples
@@ -1567,7 +1575,9 @@ def is_lexsorted_for_tuple(self, tup):
 
     @cache_readonly
     def is_unique(self):
-        """ return if the index has unique values """
+        """
+        Return if the index has unique values.
+        """
         return self._engine.is_unique
 
     @property
@@ -1958,7 +1968,7 @@ def _get_level_number(self, level):
 
     @cache_readonly
     def inferred_type(self):
-        """ return a string of the type inferred from the values """
+        """ Return a string of the type inferred from the values. """
         return lib.infer_dtype(self)
 
     def _is_memory_usage_qualified(self):
@@ -2034,7 +2044,7 @@ def __contains__(self, key):
             return False
 
     _index_shared_docs['contains'] = """
-        return a boolean if this key is IN the index
+        Return a boolean if this key is IN the index.
 
         Parameters
         ----------
@@ -2109,7 +2119,7 @@ def _can_hold_identifiers_and_holds_name(self, name):
 
     def append(self, other):
         """
-        Append a collection of Index options together
+        Append a collection of Index options together.
 
         Parameters
         ----------
@@ -2152,7 +2162,7 @@ def _concat_same_dtype(self, to_concat, name):
         return _concat._concat_index_asobject(to_concat, name)
 
     _index_shared_docs['take'] = """
-        return a new %(klass)s of the values selected by the indices
+        Return a new %(klass)s of the values selected by the indices.
 
         For internal compatibility with numpy arrays.
 
@@ -2345,7 +2355,7 @@ def notna(self):
 
     def putmask(self, mask, value):
         """
-        return a new Index of the values set with the mask
+        Return a new Index of the values set with the mask.
 
         See Also
         --------
@@ -2364,7 +2374,7 @@ def putmask(self, mask, value):
 
     def format(self, name=False, formatter=None, **kwargs):
         """
-        Render a string representation of the Index
+        Render a string representation of the Index.
         """
         header = []
         if name:
@@ -2461,8 +2471,9 @@ def equals(self, other):
             return False
 
     def identical(self, other):
-        """Similar to equals, but check that other comparable attributes are
-        also equal
+        """
+        Similar to equals, but check that other comparable attributes are
+        also equal.
         """
         return (self.equals(other) and
                 all((getattr(self, c, None) == getattr(other, c, None)

pandas/core/indexes/multi.py

@@ -1195,14 +1195,14 @@ def to_frame(self, index=True, name=None):
 
     def to_hierarchical(self, n_repeat, n_shuffle=1):
         """
-        .. deprecated:: 0.24.0
-
         Return a MultiIndex reshaped to conform to the
         shapes given by n_repeat and n_shuffle.
 
         Useful to replicate and rearrange a MultiIndex for combination
         with another Index with n_repeat items.
 
+        .. deprecated:: 0.24.0
+
         Parameters
         ----------
         n_repeat : int

pandas/core/indexes/range.py

@@ -122,7 +122,9 @@ def ensure_int(value, field):
 
     @classmethod
     def from_range(cls, data, name=None, dtype=None, **kwargs):
-        """ create RangeIndex from a range (py3), or xrange (py2) object """
+        """
+        Create RangeIndex from a range (py3), or xrange (py2) object.
+        """
         if not isinstance(data, range):
             raise TypeError(
                 '{0}(...) must be called with object coercible to a '
@@ -206,14 +208,14 @@ def nbytes(self):
         """
         Return the number of bytes in the underlying data
         On implementations where this is undetermined (PyPy)
-        assume 24 bytes for each value
+        assume 24 bytes for each value.
         """
         return sum(getsizeof(getattr(self, v), 24) for v in
                    ['_start', '_stop', '_step'])
 
     def memory_usage(self, deep=False):
         """
-        Memory usage of my values
+        Memory usage of my values.
 
         Parameters
         ----------

pandas/core/resample.py

@@ -394,7 +394,7 @@ def _wrap_result(self, result):
 
     def pad(self, limit=None):
         """
-        Forward fill the values
+        Forward fill the values.
 
         Parameters
         ----------
@@ -757,8 +757,8 @@ def interpolate(self, method='linear', axis=0, limit=None, inplace=False,
 
     def asfreq(self, fill_value=None):
         """
-        return the values at the new freq,
-        essentially a reindex
+        Return the values at the new freq,
+        essentially a reindex.
 
         Parameters
         ----------
@@ -777,7 +777,7 @@ def asfreq(self, fill_value=None):
 
     def std(self, ddof=1, *args, **kwargs):
         """
-        Compute standard deviation of groups, excluding missing values
+        Compute standard deviation of groups, excluding missing values.
 
         Parameters
         ----------
@@ -789,7 +789,7 @@ def std(self, ddof=1, *args, **kwargs):
 
     def var(self, ddof=1, *args, **kwargs):
         """
-        Compute variance of groups, excluding missing values
+        Compute variance of groups, excluding missing values.
 
         Parameters
         ----------

pandas/core/window.py

@@ -995,7 +995,7 @@ def sum(self, *args, **kwargs):
         return self._apply('roll_sum', 'sum', **kwargs)
 
     _shared_docs['max'] = dedent("""
-    %(name)s maximum
+    Calculate the %(name)s maximum.
     """)
 
     def max(self, *args, **kwargs):

pandas/io/json/normalize.py

@@ -99,7 +99,7 @@ def json_normalize(data, record_path=None, meta=None,
                    errors='raise',
                    sep='.'):
     """
-    "Normalize" semi-structured JSON data into a flat table
+    Normalize semi-structured JSON data into a flat table
 
     Parameters
     ----------

pandas/io/pytables.py

@@ -1217,7 +1217,7 @@ def copy(self, file, mode='w', propindexes=True, keys=None, complib=None,
 
     def info(self):
         """
-        print detailed information on the store
+        Print detailed information on the store
 
         .. versionadded:: 0.21.0
         """