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DOC: fixing RT03 erros for Index: duplicated and nunique #58432

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merged 7 commits into from Apr 30, 2024
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Merged

DOC: fixing RT03 erros for Index: duplicated and nunique #58432

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14ed5bb
DOC: fixing RT03 erros for Index: duplicated and nunique
KeiOshima Apr 25, 2024
b58a74f
deleting it lines from code_checks
KeiOshima Apr 25, 2024
44b1914
fixing EXPECTED TO FAIL, BUT NOT FAILING error
KeiOshima Apr 25, 2024
04525b4
fixing merge conflict
KeiOshima Apr 25, 2024
9361cc5
fixing code_checks issue
KeiOshima Apr 25, 2024
dd42b91
fixing merge conflict
KeiOshima Apr 29, 2024
47ed6cc
fixed Expected to fail error
KeiOshima Apr 29, 2024
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3 changes: 0 additions & 3 deletions ci/code_checks.sh
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Expand Up @@ -93,15 +93,13 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.Index PR07" \
-i "pandas.Index.append PR07,RT03,SA01" \
-i "pandas.Index.difference PR07,RT03,SA01" \
-i "pandas.Index.duplicated RT03" \
-i "pandas.Index.get_indexer PR07,SA01" \
-i "pandas.Index.get_indexer_for PR01,SA01" \
-i "pandas.Index.get_indexer_non_unique PR07,SA01" \
-i "pandas.Index.get_loc PR07,RT03,SA01" \
-i "pandas.Index.identical PR01,SA01" \
-i "pandas.Index.join PR07,RT03,SA01" \
-i "pandas.Index.names GL08" \
-i "pandas.Index.nunique RT03" \
-i "pandas.Index.putmask PR01,RT03" \
-i "pandas.Index.ravel PR01,RT03" \
-i "pandas.Index.slice_indexer PR07,RT03,SA01" \
Expand Down Expand Up @@ -256,7 +254,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.Series.mode SA01" \
-i "pandas.Series.mul PR07" \
-i "pandas.Series.ne PR07,SA01" \
-i "pandas.Series.nunique RT03" \
-i "pandas.Series.pad PR01,SA01" \
-i "pandas.Series.plot PR02,SA01" \
-i "pandas.Series.pop RT03,SA01" \
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1 change: 1 addition & 0 deletions pandas/core/base.py
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Expand Up @@ -1062,6 +1062,7 @@ def nunique(self, dropna: bool = True) -> int:
Returns
-------
int
A integer indicating the number of unique elements in the object.

See Also
--------
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1 change: 1 addition & 0 deletions pandas/core/indexes/base.py
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Expand Up @@ -2767,6 +2767,7 @@ def duplicated(self, keep: DropKeep = "first") -> npt.NDArray[np.bool_]:
Returns
-------
np.ndarray[bool]
A numpy array of boolean values indicating duplicate index values.

See Also
--------
Expand Down