pythonnumpyintegerabc

How do I check if a numpy dtype is integral?


How do I check if a numpy dtype is integral? I tried:

issubclass(np.int64, numbers.Integral)

but it gives False.


Update: it now gives True.


Solution

  • Numpy has a hierarchy of dtypes similar to a class hierarchy (the scalar types actually have a bona fide class hierarchy that mirrors the dtype hierarchy).

    In Numpy>2.0, you should use np.isdtype: np.isdtype(np.void, 'integral').

    Otherwise, you can use np.issubdtype(some_dtype, np.integer) to test if a dtype is an integer dtype. Note that like most dtype-consuming functions, np.issubdtype() will convert its arguments to dtypes, so anything that can make a dtype via the np.dtype() constructor can be used.

    http://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html#specifying-and-constructing-data-types

    >>> import numpy as np
    >>> np.issubdtype(np.int32, np.integer)
    True
    >>> np.issubdtype(np.float32, np.integer)
    False
    >>> np.issubdtype(np.complex64, np.integer)
    False
    >>> np.issubdtype(np.uint8, np.integer)
    True
    >>> np.issubdtype(np.bool, np.integer)
    False
    >>> np.issubdtype(np.void, np.integer)
    False
    

    Alternatively, the scalar types are now registered with the appropriate numbers ABCs.