CLN: make Info and DataFrameInfo subclasses (#34743)

Author: MarcoGorelli

pandas/core/frame.py

@@ -141,7 +141,7 @@
 
 from pandas.io.common import get_filepath_or_buffer
 from pandas.io.formats import console, format as fmt
-from pandas.io.formats.info import info
+from pandas.io.formats.info import DataFrameInfo
 import pandas.plotting
 
 if TYPE_CHECKING:
@@ -2462,11 +2462,11 @@ def to_html(
             <class 'pandas.core.frame.DataFrame'>
             RangeIndex: 5 entries, 0 to 4
             Data columns (total 3 columns):
-                #   Column     Non-Null Count  Dtype
+             #   Column     Non-Null Count  Dtype
             ---  ------     --------------  -----
-                0   int_col    5 non-null      int64
-                1   text_col   5 non-null      object
-                2   float_col  5 non-null      float64
+             0   int_col    5 non-null      int64
+             1   text_col   5 non-null      object
+             2   float_col  5 non-null      float64
             dtypes: float64(1), int64(1), object(1)
             memory usage: 248.0+ bytes
 
@@ -2505,23 +2505,23 @@ def to_html(
             <class 'pandas.core.frame.DataFrame'>
             RangeIndex: 1000000 entries, 0 to 999999
             Data columns (total 3 columns):
-                #   Column    Non-Null Count    Dtype
+             #   Column    Non-Null Count    Dtype
             ---  ------    --------------    -----
-                0   column_1  1000000 non-null  object
-                1   column_2  1000000 non-null  object
-                2   column_3  1000000 non-null  object
+             0   column_1  1000000 non-null  object
+             1   column_2  1000000 non-null  object
+             2   column_3  1000000 non-null  object
             dtypes: object(3)
             memory usage: 22.9+ MB
 
             >>> df.info(memory_usage='deep')
             <class 'pandas.core.frame.DataFrame'>
             RangeIndex: 1000000 entries, 0 to 999999
             Data columns (total 3 columns):
-                #   Column    Non-Null Count    Dtype
+             #   Column    Non-Null Count    Dtype
             ---  ------    --------------    -----
-                0   column_1  1000000 non-null  object
-                1   column_2  1000000 non-null  object
-                2   column_3  1000000 non-null  object
+             0   column_1  1000000 non-null  object
+             1   column_2  1000000 non-null  object
+             2   column_3  1000000 non-null  object
             dtypes: object(3)
             memory usage: 188.8 MB"""
         ),
@@ -2532,7 +2532,7 @@ def to_html(
             DataFrame.memory_usage: Memory usage of DataFrame columns."""
         ),
     )
-    @doc(info)
+    @doc(DataFrameInfo.info)
     def info(
         self,
         verbose: Optional[bool] = None,
@@ -2541,7 +2541,9 @@ def info(
         memory_usage: Optional[Union[bool, str]] = None,
         null_counts: Optional[bool] = None,
     ) -> None:
-        return info(self, verbose, buf, max_cols, memory_usage, null_counts)
+        return DataFrameInfo(
+            self, verbose, buf, max_cols, memory_usage, null_counts
+        ).info()
 
     def memory_usage(self, index=True, deep=False) -> Series:
         """