Update style for see also

Author: shriyakalakata

ci/code_checks.sh

@@ -81,15 +81,12 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.CategoricalIndex.ordered SA01" \
         -i "pandas.DataFrame.__dataframe__ SA01" \
         -i "pandas.DataFrame.__iter__ SA01" \
-        -i "pandas.DataFrame.assign SA01" \
         -i "pandas.DataFrame.at_time PR01" \
         -i "pandas.DataFrame.axes SA01" \
-        -i "pandas.DataFrame.bfill SA01" \
         -i "pandas.DataFrame.columns SA01" \
         -i "pandas.DataFrame.copy SA01" \
         -i "pandas.DataFrame.droplevel SA01" \
         -i "pandas.DataFrame.dtypes SA01" \
-        -i "pandas.DataFrame.ffill SA01" \
         -i "pandas.DataFrame.first_valid_index SA01" \
         -i "pandas.DataFrame.get SA01" \
         -i "pandas.DataFrame.hist RT03" \

pandas/core/frame.py

@@ -4915,6 +4915,10 @@ def assign(self, **kwargs) -> DataFrame:
             A new DataFrame with the new columns in addition to
             all the existing columns.
 
+        See Also
+        --------
+        DataFrame.assign : Assign new columns to a DataFrame.
+
         Notes
         -----
         Assigning multiple columns within the same ``assign`` is possible.

pandas/core/generic.py

@@ -7089,6 +7089,11 @@ def ffill(
         {klass} or None
             Object with missing values filled or None if ``inplace=True``.
 
+        See Also
+        --------
+        DataFrame.bfill : Fill NA/NaN values by using the next valid observation
+            to fill the gap.
+
         Examples
         --------
         >>> df = pd.DataFrame(
@@ -7217,6 +7222,11 @@ def bfill(
         {klass} or None
             Object with missing values filled or None if ``inplace=True``.
 
+        See Also
+        --------
+        DataFrame.ffill : Fill NA/NaN values by propagating the last valid
+            observation to next valid.
+
         Examples
         --------
         For Series: