pandas.api.types.is_float_dtype — pandas 3.0.0.dev0+2106.gb2b2d04e41 documentation (original) (raw)

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

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

The function checks for floating-point data types, which represent real numbers that may have fractional components.

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 float dtype.

See also

api.types.is_numeric_dtype

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

api.types.is_integer_dtype

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

api.types.is_object_dtype

Check whether an array-like or dtype is of the object dtype.

Examples

from pandas.api.types import is_float_dtype is_float_dtype(str) False is_float_dtype(int) False is_float_dtype(float) True is_float_dtype(np.array(["a", "b"])) False is_float_dtype(pd.Series([1, 2])) False is_float_dtype(pd.Index([1, 2.0])) True