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DOC: Enforce Numpy Docstring Validation for pandas.Float32Dtype and pandas.Float64Dtype (#58266)
* fixed docstring for pandas.Float32Dtype and pandas.Float64Dtype * removed methods pandas.Float32Dtype and pandas.Float64Dtype
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ci/code_checks.sh

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@@ -153,8 +153,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.DatetimeTZDtype SA01" \
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-i "pandas.DatetimeTZDtype.tz SA01" \
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-i "pandas.DatetimeTZDtype.unit SA01" \
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-i "pandas.Float32Dtype SA01" \
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-i "pandas.Float64Dtype SA01" \
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-i "pandas.Grouper PR02,SA01" \
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-i "pandas.HDFStore.append PR01,SA01" \
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-i "pandas.HDFStore.get SA01" \

pandas/core/arrays/floating.py

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@@ -135,6 +135,12 @@ class FloatingArray(NumericArray):
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-------
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None
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See Also
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--------
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CategoricalDtype : Type for categorical data with the categories and orderedness.
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IntegerDtype : An ExtensionDtype to hold a single size & kind of integer dtype.
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StringDtype : An ExtensionDtype for string data.
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Examples
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--------
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For Float32Dtype:

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