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DOC: Remove deprecated methods from code_checks.sh #58115

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merged 5 commits into from
Apr 17, 2024
Merged

DOC: Remove deprecated methods from code_checks.sh #58115

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46bffce
Update style for see also
shriyakalakata Apr 4, 2024
60e5f12
Remove deprecated methods from code_checks.sh
shriyakalakata Apr 17, 2024
8bdd6ae
Fix merge conflict
shriyakalakata Apr 17, 2024
e4c9538
Fix merge conflict
shriyakalakata Apr 17, 2024
a80974f
Update pandas.DataFrame.assign See Also section
shriyakalakata Apr 17, 2024
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3 changes: 0 additions & 3 deletions ci/code_checks.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -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" \
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-i "pandas.DataFrame.first_valid_index SA01" \
-i "pandas.DataFrame.get SA01" \
-i "pandas.DataFrame.hist RT03" \
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4 changes: 4 additions & 0 deletions pandas/core/frame.py
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Expand Up @@ -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.
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Notes
-----
Assigning multiple columns within the same ``assign`` is possible.
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10 changes: 10 additions & 0 deletions pandas/core/generic.py
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Expand Up @@ -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(
Expand Down Expand Up @@ -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:
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