PR04 errors fix

ci/code_checks.sh

@@ -240,8 +240,8 @@ fi
 ### DOCSTRINGS ###
 if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
 
-    MSG='Validate docstrings (GL06, GL07, GL09, SS04, PR03, PR05, EX04, RT04, SS05)' ; echo $MSG
-    $BASE_DIR/scripts/validate_docstrings.py --format=azure --errors=GL06,GL07,GL09,SS04,PR03,PR05,EX04,RT04,SS05
+    MSG='Validate docstrings (GL06, GL07, GL09, SS04, PR03, PR04, PR05, EX04, RT04, SS05)' ; echo $MSG
+    $BASE_DIR/scripts/validate_docstrings.py --format=azure --errors=GL06,GL07,GL09,SS04,PR03,PR04,PR05,EX04,RT04,SS05
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
 fi

pandas/_libs/tslibs/timedeltas.pyx

@@ -1127,8 +1127,7 @@ class Timedelta(_Timedelta):
         'ms', 'milliseconds', 'millisecond', 'milli', 'millis', 'L',
         'us', 'microseconds', 'microsecond', 'micro', 'micros', 'U',
         'ns', 'nanoseconds', 'nano', 'nanos', 'nanosecond', 'N'}
-    days, seconds, microseconds,
-    milliseconds, minutes, hours, weeks : numeric, optional
+    days,seconds,microseconds,milliseconds,minutes,hours,weeks : numeric, optional:
         Values for construction in compat with datetime.timedelta.
         np ints and floats will be coerced to python ints and floats.
 

pandas/core/algorithms.py

@@ -563,7 +563,7 @@ def _factorize_array(values, na_sentinel=-1, size_hint=None,
         coerced to ndarrays before factorization.
     """),
     order=dedent("""\
-    order
+    order : None
         .. deprecated:: 0.23.0
 
            This parameter has no effect and is deprecated.

pandas/core/generic.py

@@ -648,13 +648,14 @@ def transpose(self, *args, **kwargs):
         copy : boolean, default False
             Make a copy of the underlying data. Mixed-dtype data will
             always result in a copy
+        kwargs : Additional keyword arguments will be passed to the function
 
         Returns
-        -------
+        ----------
         y : same as input
 
         Examples
-        --------
+        ----------
         >>> p.transpose(2, 0, 1)
         >>> p.transpose(2, 0, 1, copy=True)
         """

pandas/core/groupby/groupby.py

@@ -1835,7 +1835,7 @@ def rank(self, method='average', ascending=True, na_option='keep',
             The axis of the object over which to compute the rank.
 
         Returns
-        -----
+        ----------
         DataFrame with ranking of values within each group
         """
         if na_option not in {'keep', 'top', 'bottom'}:

pandas/core/groupby/grouper.py

@@ -55,18 +55,23 @@ class Grouper(object):
     sort : boolean, default to False
         whether to sort the resulting labels
 
-    additional kwargs to control time-like groupers (when `freq` is passed)
-
     closed : closed end of interval; 'left' or 'right'
     label : interval boundary to use for labeling; 'left' or 'right'
     convention : {'start', 'end', 'e', 's'}
         If grouper is PeriodIndex
-    base, loffset
+    base : int, default 0
+    loffset : string / DateOffset / timedelta object
 
     Returns
     -------
     A specification for a groupby instruction
 
+    Note
+    -------
+    Kwargs to control time-like groupers:
+    closed, label, convetion, base and loffset
+    are taken into account when `freq` parameter is passed
+
     Examples
     --------
 

pandas/core/panel.py

@@ -42,7 +42,7 @@
     axes_single_arg="{0, 1, 2, 'items', 'major_axis', 'minor_axis'}",
     optional_mapper='', optional_axis='', optional_labels='')
 _shared_doc_kwargs['args_transpose'] = (
-    "three positional arguments: each one of\n{ax_single}".format(
+    "{ax_single}\n\tthree positional arguments from given options".format(
         ax_single=_shared_doc_kwargs['axes_single_arg']))
 
 
@@ -1008,7 +1008,7 @@ def apply(self, func, axis='major', **kwargs):
             DataFrames of items & major axis will be passed
         axis : {'items', 'minor', 'major'}, or {0, 1, 2}, or a tuple with two
             axes
-        Additional keyword arguments will be passed as keywords to the function
+        kwargs : Additional keyword arguments will be passed to the function
 
         Returns
         -------

pandas/core/resample.py

@@ -795,7 +795,7 @@ def std(self, ddof=1, *args, **kwargs):
         Parameters
         ----------
         ddof : integer, default 1
-        degrees of freedom
+            degrees of freedom
         """
         nv.validate_resampler_func('std', args, kwargs)
         return self._downsample('std', ddof=ddof)

pandas/io/formats/style.py

@@ -424,9 +424,10 @@ def render(self, **kwargs):
 
         Parameters
         ----------
-        `**kwargs` : Any additional keyword arguments are passed through
-        to ``self.template.render``. This is useful when you need to provide
-        additional variables for a custom template.
+        kwargs : Any additional keyword arguments
+            keywords are passed throught o ``self.template.render``.
+            This is useful when you need to provide
+            additional variables for a custom template.
 
             .. versionadded:: 0.20
 

pandas/io/parquet.py

@@ -271,7 +271,7 @@ def read_parquet(path, engine='auto', columns=None, **kwargs):
         ``io.parquet.engine`` is used. The default ``io.parquet.engine``
         behavior is to try 'pyarrow', falling back to 'fastparquet' if
         'pyarrow' is unavailable.
-    kwargs are passed to the engine
+    kwargs : Any additional kwargs are passed to the engine
 
     Returns
     -------

scripts/validate_docstrings.py

@@ -543,7 +543,7 @@ def validate_pep8(self):
         application = flake8.main.application.Application()
         application.initialize(["--quiet"])
 
-        with tempfile.NamedTemporaryFile(mode='w') as file:
+        with tempfile.NamedTemporaryFile(mode='w', encoding="utf-8") as file:
             file.write(content)
             file.flush()
             application.run_checks([file.name])