pandas.api.types.is_numeric_dtype#

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

Check whether the provided array or dtype is of a numeric dtype.

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 numeric dtype.

Examples

>>>frompandas.api.typesimportis_numeric_dtype>>>is_numeric_dtype(str)False>>>is_numeric_dtype(int)True>>>is_numeric_dtype(float)True>>>is_numeric_dtype(np.uint64)True>>>is_numeric_dtype(np.datetime64)False>>>is_numeric_dtype(np.timedelta64)False>>>is_numeric_dtype(np.array(['a','b']))False>>>is_numeric_dtype(pd.Series([1,2]))True>>>is_numeric_dtype(pd.Index([1,2.]))True>>>is_numeric_dtype(np.array([],dtype=np.timedelta64))False