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Fonction common_type - module numpy

Signature de la fonction common_type

def common_type(*arrays) 

Description

common_type.__doc__

    Return a scalar type which is common to the input arrays.

    The return type will always be an inexact (i.e. floating point) scalar
    type, even if all the arrays are integer arrays. If one of the inputs is
    an integer array, the minimum precision type that is returned is a
    64-bit floating point dtype.

    All input arrays except int64 and uint64 can be safely cast to the
    returned dtype without loss of information.

    Parameters
    ----------
    array1, array2, ... : ndarrays
        Input arrays.

    Returns
    -------
    out : data type code
        Data type code.

    See Also
    --------
    dtype, mintypecode

    Examples
    --------
    >>> np.common_type(np.arange(2, dtype=np.float32))
    <class 'numpy.float32'>
    >>> np.common_type(np.arange(2, dtype=np.float32), np.arange(2))
    <class 'numpy.float64'>
    >>> np.common_type(np.arange(4), np.array([45, 6.j]), np.array([45.0]))
    <class 'numpy.complex128'>