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DOC: add SA01 for pandas.api.extensions.ExtensionArray._from_sequence_of_strings #58766

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1 change: 0 additions & 1 deletion ci/code_checks.sh
Original file line number Diff line number Diff line change
Expand Up @@ -293,7 +293,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.Timestamp.value GL08" \
-i "pandas.Timestamp.weekday SA01" \
-i "pandas.Timestamp.year GL08" \
-i "pandas.api.extensions.ExtensionArray._from_sequence_of_strings SA01" \
-i "pandas.api.extensions.ExtensionArray._hash_pandas_object RT03,SA01" \
-i "pandas.api.extensions.ExtensionArray._pad_or_backfill PR01,RT03,SA01" \
-i "pandas.api.extensions.ExtensionArray._reduce RT03,SA01" \
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10 changes: 10 additions & 0 deletions pandas/core/arrays/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -365,6 +365,16 @@ def _from_sequence_of_strings(
-------
ExtensionArray

See Also
--------
api.extensions.ExtensionArray._from_sequence : Construct a new ExtensionArray
from a sequence of scalars.
api.extensions.ExtensionArray._from_factorized : Reconstruct an ExtensionArray
after factorization.
api.extensions.ExtensionArray._from_scalars : Strict analogue to _from_sequence,
allowing only sequences of scalars that should be specifically inferred to
the given dtype.

Examples
--------
>>> pd.arrays.IntegerArray._from_sequence_of_strings(
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