pandas.api.types.is_signed_integer_dtype#

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

Check whether the provided array or dtype is of a signed integer dtype.

Unlike inis_any_int_dtype, timedelta64 instances will return False.

The nullable Integer dtypes (e.g. pandas.Int64Dtype) are also consideredas 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 a signed integer dtypeand not an instance of timedelta64.

Examples

>>>frompandas.core.dtypes.commonimportis_signed_integer_dtype>>>is_signed_integer_dtype(str)False>>>is_signed_integer_dtype(int)True>>>is_signed_integer_dtype(float)False>>>is_signed_integer_dtype(np.uint64)# unsignedFalse>>>is_signed_integer_dtype('int8')True>>>is_signed_integer_dtype('Int8')True>>>is_signed_integer_dtype(pd.Int8Dtype)True>>>is_signed_integer_dtype(np.datetime64)False>>>is_signed_integer_dtype(np.timedelta64)False>>>is_signed_integer_dtype(np.array(['a','b']))False>>>is_signed_integer_dtype(pd.Series([1,2]))True>>>is_signed_integer_dtype(np.array([],dtype=np.timedelta64))False>>>is_signed_integer_dtype(pd.Index([1,2.]))# floatFalse>>>is_signed_integer_dtype(np.array([1,2],dtype=np.uint32))# unsignedFalse