DOC: Remove deprecated methods from code_checks.sh (#58115)

* Update style for see also * Remove deprecated methods from code_checks.sh * Fix merge conflict * Update pandas.DataFrame.assign See Also section

Author: shriyakalakata

ci/code_checks.sh

@@ -81,14 +81,11 @@ 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.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" \
@@ -303,7 +300,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
  -i "pandas.Series.add PR07" \
  -i "pandas.Series.at_time PR01" \
  -i "pandas.Series.backfill PR01,SA01" \
- -i "pandas.Series.bfill SA01" \
  -i "pandas.Series.case_when RT03" \
  -i "pandas.Series.cat PR07,SA01" \
  -i "pandas.Series.cat.add_categories PR01,PR02" \
@@ -361,7 +357,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
  -i "pandas.Series.dtypes SA01" \
  -i "pandas.Series.empty GL08" \
  -i "pandas.Series.eq PR07,SA01" \
- -i "pandas.Series.ffill SA01" \
  -i "pandas.Series.first_valid_index SA01" \
  -i "pandas.Series.floordiv PR07" \
  -i "pandas.Series.ge PR07,SA01" \

pandas/core/frame.py

@@ -4924,6 +4924,11 @@ def assign(self, **kwargs) -> DataFrame:
  A new DataFrame with the new columns in addition to
  all the existing columns.
 
+ See Also
+ --------
+ DataFrame.loc : Select a subset of a DataFrame by labels.
+ DataFrame.iloc : Select a subset of a DataFrame by positions.
+
  Notes
  -----
  Assigning multiple columns within the same ``assign`` is possible.

pandas/core/generic.py

@@ -7086,6 +7086,11 @@ 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(
@@ -7214,6 +7219,11 @@ 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: