docstring sharing

Author: Marco Gorelli

pandas/core/frame.py

@@ -2222,6 +2222,11 @@ def to_html(
             encoding=encoding,
         )
 
+    def info(
+        self, verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None
+    ):
+        return super().info(verbose, buf, max_cols, memory_usage, null_counts)
+
     # ----------------------------------------------------------------------
     def memory_usage(self, index=True, deep=False) -> Series:
         """

pandas/core/generic.py

@@ -1740,14 +1740,23 @@ def keys(self):
         """
         return self._info_axis
 
+    #     @Substitution(klass=self.__name__, type_sub=" and column dtypes"*(self._typ
+    # =='dataframe'),
+    #         max_cols_sub="""
+    #         max_cols : int, optional
+    #             When to switch from the verbose to the truncated output. If the
+    #             DataFrame has more than `max_cols` columns, the truncated output
+    #             is used. By default, the setting in
+    #             ``pandas.options.display.max_info_columns`` is used.
+    # """*(self._typ=='dataframe'), )
     def info(
         self, verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None
     ) -> None:
         """
-        Print a concise summary of a DataFrame.
+        Print a concise summary of a %(klass)s.
 
-        This method prints information about a DataFrame including
-        the index dtype and column dtypes, non-null values and memory usage.
+        This method prints information about a %(klass)s including
+        the index dtype%(type_sub), non-null values and memory usage.
 
         Parameters
         ----------
@@ -1757,14 +1766,9 @@ def info(
         buf : writable buffer, defaults to sys.stdout
             Where to send the output. By default, the output is printed to
             sys.stdout. Pass a writable buffer if you need to further process
-            the output.
-        max_cols : int, optional
-            When to switch from the verbose to the truncated output. If the
-            DataFrame has more than `max_cols` columns, the truncated output
-            is used. By default, the setting in
-            ``pandas.options.display.max_info_columns`` is used.
+            the output.%(max_cols_sub)s
         memory_usage : bool, str, optional
-            Specifies whether total memory usage of the DataFrame
+            Specifies whether total memory usage of the %(klass)s
             elements (including the index) should be displayed. By default,
             this follows the ``pandas.options.display.memory_usage`` setting.
 
@@ -1778,21 +1782,21 @@ def info(
             at the cost of computational resources.
         null_counts : bool, optional
             Whether to show the non-null counts. By default, this is shown
-            only if the frame is smaller than
+            only if the %(klass)s is smaller than
             ``pandas.options.display.max_info_rows`` and
             ``pandas.options.display.max_info_columns``. A value of True always
             shows the counts, and False never shows the counts.
 
         Returns
         -------
         None
-            This method prints a summary of a DataFrame and returns None.
+            This method prints a summary of a %(klass)s and returns None.
 
         See Also
         --------
-        DataFrame.describe: Generate descriptive statistics of DataFrame
+        DataFrame.describe: Generate descriptive statistics of %(klass)s
             columns.
-        DataFrame.memory_usage: Memory usage of DataFrame columns.
+        %(klass)s.memory_usage: Memory usage of %(klass)s%(memory_sub)s.
 
         Examples
         --------

pandas/core/series.py

@@ -4181,6 +4181,11 @@ def replace(
             method=method,
         )
 
+    def info(
+        self, verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None
+    ):
+        return super().info(verbose, buf, None, memory_usage, null_counts)
+
     @Appender(generic._shared_docs["shift"] % _shared_doc_kwargs)
     def shift(self, periods=1, freq=None, axis=0, fill_value=None) -> "Series":
         return super().shift(