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DOC: Enforce Numpy Docstring Validation for pandas.Float32Dtype and pandas.Float64Dtype #58266

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Merged
merged 3 commits into from
Apr 15, 2024
Merged

DOC: Enforce Numpy Docstring Validation for pandas.Float32Dtype and pandas.Float64Dtype #58266

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f7f688a
fixed docstring for pandas.Float32Dtype and pandas.Float64Dtype
tuhinsharma121 Apr 15, 2024
a380b5c
removed methods pandas.Float32Dtype and pandas.Float64Dtype
tuhinsharma121 Apr 15, 2024
d26d7e2
Merge branch 'main' into numpy-docstring-floatdtype
tuhinsharma121 Apr 15, 2024
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2 changes: 0 additions & 2 deletions ci/code_checks.sh
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Expand Up @@ -153,8 +153,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.DatetimeTZDtype SA01" \
-i "pandas.DatetimeTZDtype.tz SA01" \
-i "pandas.DatetimeTZDtype.unit SA01" \
-i "pandas.Float32Dtype SA01" \
-i "pandas.Float64Dtype SA01" \
-i "pandas.Grouper PR02,SA01" \
-i "pandas.HDFStore.append PR01,SA01" \
-i "pandas.HDFStore.get SA01" \
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6 changes: 6 additions & 0 deletions pandas/core/arrays/floating.py
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Expand Up @@ -135,6 +135,12 @@ class FloatingArray(NumericArray):
-------
None

See Also
--------
CategoricalDtype : Type for categorical data with the categories and orderedness.
IntegerDtype : An ExtensionDtype to hold a single size & kind of integer dtype.
StringDtype : An ExtensionDtype for string data.

Examples
--------
For Float32Dtype:
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