pandas.api.types.is_unsigned_integer_dtype#

pandas.api.types.is_unsigned_integer_dtype(arr_or_dtype)[source]#

Check whether the provided array or dtype is of an unsigned integer dtype.

The nullable Integer dtypes (e.g. pandas.UInt64Dtype) are alsoconsidered as integer by this function.

Parameters:

arr_or_dtypearray-like or dtype

The array or dtype to check.

Returns:

boolean

Whether or not the array or dtype is of an unsigned integer dtype.

Examples

>>>frompandas.api.typesimportis_unsigned_integer_dtype>>>is_unsigned_integer_dtype(str)False>>>is_unsigned_integer_dtype(int)# signedFalse>>>is_unsigned_integer_dtype(float)False>>>is_unsigned_integer_dtype(np.uint64)True>>>is_unsigned_integer_dtype('uint8')True>>>is_unsigned_integer_dtype('UInt8')True>>>is_unsigned_integer_dtype(pd.UInt8Dtype)True>>>is_unsigned_integer_dtype(np.array(['a','b']))False>>>is_unsigned_integer_dtype(pd.Series([1,2]))# signedFalse>>>is_unsigned_integer_dtype(pd.Index([1,2.]))# floatFalse>>>is_unsigned_integer_dtype(np.array([1,2],dtype=np.uint32))True