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adding See Also section for is_signed_integer_dtype
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pandas/core/dtypes/common.py

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@@ -715,6 +715,16 @@ def is_signed_integer_dtype(arr_or_dtype) -> bool:
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Whether or not the array or dtype is of a signed integer dtype
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and not an instance of timedelta64.
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See Also
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--------
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pandas.api.types.is_integer_dtype: Check whether the provided array or dtype
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is of an integer dtype.
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pandas.api.types.is_numeric_dtype: Check whether the provided array or dtype
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is of a numeric dtype.
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pandas.api.types.is_unsigned_integer_dtype: Check whether the provided array
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or dtype is of an unsigned integer dtype.
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Examples
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--------
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>>> from pandas.core.dtypes.common import is_signed_integer_dtype

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