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Fonction issubdtype - module numpy

Signature de la fonction issubdtype

def issubdtype(arg1, arg2) 

Description

issubdtype.__doc__

    Returns True if first argument is a typecode lower/equal in type hierarchy.

    This is like the builtin :func:`issubclass`, but for `dtype`\ s.

    Parameters
    ----------
    arg1, arg2 : dtype_like
        `dtype` or object coercible to one

    Returns
    -------
    out : bool

    See Also
    --------
    :ref:`arrays.scalars` : Overview of the numpy type hierarchy.
    issubsctype, issubclass_

    Examples
    --------
    `issubdtype` can be used to check the type of arrays:

    >>> ints = np.array([1, 2, 3], dtype=np.int32)
    >>> np.issubdtype(ints.dtype, np.integer)
    True
    >>> np.issubdtype(ints.dtype, np.floating)
    False

    >>> floats = np.array([1, 2, 3], dtype=np.float32)
    >>> np.issubdtype(floats.dtype, np.integer)
    False
    >>> np.issubdtype(floats.dtype, np.floating)
    True

    Similar types of different sizes are not subdtypes of each other:

    >>> np.issubdtype(np.float64, np.float32)
    False
    >>> np.issubdtype(np.float32, np.float64)
    False

    but both are subtypes of `floating`:

    >>> np.issubdtype(np.float64, np.floating)
    True
    >>> np.issubdtype(np.float32, np.floating)
    True

    For convenience, dtype-like objects are allowed too:

    >>> np.issubdtype('S1', np.string_)
    True
    >>> np.issubdtype('i4', np.signedinteger)
    True