Doc: fix PR07 errors in DatetimeIndex - indexer_between_time, mean an…

…d HDFStore - append, get, put (pandas-dev#57805)

fix PR07 errors in DatetimeIndex - indexer_between_time, mean and HDFStore - append, get, put

ci/code_checks.sh

@@ -499,11 +499,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
 
     MSG='Partially validate docstrings (PR07)' ;  echo $MSG
     $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=PR07 --ignore_functions \
-        pandas.DatetimeIndex.indexer_between_time\
-        pandas.DatetimeIndex.mean\
-        pandas.HDFStore.append\
-        pandas.HDFStore.get\
-        pandas.HDFStore.put\
         pandas.Index\
         pandas.Index.append\
         pandas.Index.copy\

pandas/core/arrays/datetimelike.py

@@ -1577,6 +1577,7 @@ def mean(self, *, skipna: bool = True, axis: AxisInt | None = 0):
         skipna : bool, default True
             Whether to ignore any NaT elements.
         axis : int, optional, default 0
+            Axis for the function to be applied on.
 
         Returns
         -------

pandas/core/indexes/datetimes.py

@@ -774,7 +774,9 @@ def indexer_between_time(
             appropriate format ("%H:%M", "%H%M", "%I:%M%p", "%I%M%p",
             "%H:%M:%S", "%H%M%S", "%I:%M:%S%p","%I%M%S%p").
         include_start : bool, default True
+            Include boundaries; whether to set start bound as closed or open.
         include_end : bool, default True
+            Include boundaries; whether to set end bound as closed or open.
 
         Returns
         -------

pandas/io/pytables.py

@@ -779,6 +779,7 @@ def get(self, key: str):
         Parameters
         ----------
         key : str
+            Object to retrieve from file. Raises KeyError if not found.
 
         Returns
         -------
@@ -1110,7 +1111,9 @@ def put(
         Parameters
         ----------
         key : str
+            Key of object to store in file.
         value : {Series, DataFrame}
+            Value of object to store in file.
         format : 'fixed(f)|table(t)', default is 'fixed'
             Format to use when storing object in HDFStore. Value can be one of:
 
@@ -1248,7 +1251,9 @@ def append(
         Parameters
         ----------
         key : str
+            Key of object to append.
         value : {Series, DataFrame}
+            Value of object to append.
         format : 'table' is the default
             Format to use when storing object in HDFStore.  Value can be one of:
 
@@ -1265,11 +1270,16 @@ def append(
             queries, or True to use all columns. By default only the axes
             of the object are indexed. See `here
             <https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#query-via-data-columns>`__.
-        min_itemsize : dict of columns that specify minimum str sizes
-        nan_rep : str to use as str nan representation
-        chunksize : size to chunk the writing
-        expectedrows : expected TOTAL row size of this table
-        encoding : default None, provide an encoding for str
+        min_itemsize : int, dict, or None
+            Dict of columns that specify minimum str sizes.
+        nan_rep : str
+            Str to use as str nan representation.
+        chunksize : int or None
+            Size to chunk the writing.
+        expectedrows : int
+            Expected TOTAL row size of this table.
+        encoding : default None
+            Provide an encoding for str.
         dropna : bool, default False, optional
             Do not write an ALL nan row to the store settable
             by the option 'io.hdf.dropna_table'.