Move INFO_DOCSTRING back to BaseInfo and fix reference

Author: ivanovmg

pandas/io/formats/info.py

@@ -166,57 +166,6 @@
 }
 
 
-INFO_DOCSTRING = dedent(
-    """\
-    Print a concise summary of a {klass}.
-
-    This method prints information about a {klass} including
-    the index dtype{type_sub}, non-null values and memory usage.
-    {version_added_sub}\
-
-    Parameters
-    ----------
-    data : {klass}
-        {klass} to print information about.
-    verbose : bool, optional
-        Whether to print the full summary. By default, the setting in
-        ``pandas.options.display.max_info_columns`` is followed.
-    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_sub}
-    memory_usage : bool, str, optional
-        Specifies whether total memory usage of the {klass}
-        elements (including the index) should be displayed. By default,
-        this follows the ``pandas.options.display.memory_usage`` setting.
-
-        True always show memory usage. False never shows memory usage.
-        A value of 'deep' is equivalent to "True with deep introspection".
-        Memory usage is shown in human-readable units (base-2
-        representation). Without deep introspection a memory estimation is
-        made based in column dtype and number of rows assuming values
-        consume the same memory amount for corresponding dtypes. With deep
-        memory introspection, a real memory usage calculation is performed
-        at the cost of computational resources.
-    {show_counts_sub}s
-
-    Returns
-    -------
-    None
-        This method prints a summary of a {klass} and returns None.
-
-    See Also
-    --------
-    {see_also_sub}
-
-    Examples
-    --------
-    {examples_sub}
-    """
-)
-
-
 def _put_str(s: str | Dtype, space: int) -> str:
     """
     Make string of specified length, padding to the right if necessary.
@@ -363,7 +312,53 @@ def render(
         verbose: bool | None,
         show_counts: bool | None,
     ) -> None:
-        pass
+        """
+        Print a concise summary of a {klass}.
+
+        This method prints information about a {klass} including
+        the index dtype{type_sub}, non-null values and memory usage.
+        {version_added_sub}\
+
+        Parameters
+        ----------
+        data : {klass}
+            {klass} to print information about.
+        verbose : bool, optional
+            Whether to print the full summary. By default, the setting in
+            ``pandas.options.display.max_info_columns`` is followed.
+        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_sub}
+        memory_usage : bool, str, optional
+            Specifies whether total memory usage of the {klass}
+            elements (including the index) should be displayed. By default,
+            this follows the ``pandas.options.display.memory_usage`` setting.
+
+            True always show memory usage. False never shows memory usage.
+            A value of 'deep' is equivalent to "True with deep introspection".
+            Memory usage is shown in human-readable units (base-2
+            representation). Without deep introspection a memory estimation is
+            made based in column dtype and number of rows assuming values
+            consume the same memory amount for corresponding dtypes. With deep
+            memory introspection, a real memory usage calculation is performed
+            at the cost of computational resources.
+        {show_counts_sub}s
+
+        Returns
+        -------
+        None
+            This method prints a summary of a {klass} and returns None.
+
+        See Also
+        --------
+        {see_also_sub}
+
+        Examples
+        --------
+        {examples_sub}
+        """
 
 
 class DataFrameInfo(BaseInfo):
@@ -426,7 +421,7 @@ def memory_usage_bytes(self) -> int:
         return self.data.memory_usage(index=True, deep=deep).sum()
 
     @doc(
-        INFO_DOCSTRING,
+        BaseInfo.render.__doc__,
         klass="DataFrame",
         type_sub=" and columns",
         max_cols_sub=frame_max_cols_sub,