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ci/code_checks.sh
@@ -899,7 +899,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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pandas.DataFrame.copy\
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pandas.DataFrame.droplevel\
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pandas.DataFrame.dtypes\
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- pandas.DataFrame.ffill\
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pandas.DataFrame.first_valid_index\
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pandas.DataFrame.get\
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pandas.DataFrame.keys\
pandas/core/generic.py
@@ -7139,6 +7139,11 @@ def ffill(
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{klass} or None
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Object with missing values filled or None if ``inplace=True``.
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+ See Also
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+ -------
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+ DataFrame.bfill : Fill NA/NaN values by using the next valid observation
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+ to fill the gap.
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+
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Examples
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--------
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>>> df = pd.DataFrame(
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