Vous êtes un professionnel et vous avez besoin d'une formation ? Deep Learning avec Python
et Keras et Tensorflow Voir le programme détaillé

Module « numpy »

Fonction nanprod - module numpy

Signature de la fonction nanprod

def nanprod(a, axis=None, dtype=None, out=None, keepdims=<no value>, initial=<no value>, where=<no value>) 

Description

help(numpy.nanprod)

Return the product of array elements over a given axis treating Not a
Numbers (NaNs) as ones.

One is returned for slices that are all-NaN or empty.

Parameters
----------
a : array_like
    Array containing numbers whose product is desired. If `a` is not an
    array, a conversion is attempted.
axis : {int, tuple of int, None}, optional
    Axis or axes along which the product is computed. The default is to compute
    the product of the flattened array.
dtype : data-type, optional
    The type of the returned array and of the accumulator in which the
    elements are summed.  By default, the dtype of `a` is used.  An
    exception is when `a` has an integer type with less precision than
    the platform (u)intp. In that case, the default will be either
    (u)int32 or (u)int64 depending on whether the platform is 32 or 64
    bits. For inexact inputs, dtype must be inexact.
out : ndarray, optional
    Alternate output array in which to place the result.  The default
    is ``None``. If provided, it must have the same shape as the
    expected output, but the type will be cast if necessary. See
    :ref:`ufuncs-output-type` for more details. The casting of NaN to integer
    can yield unexpected results.
keepdims : bool, optional
    If True, the axes which are reduced are left in the result as
    dimensions with size one. With this option, the result will
    broadcast correctly against the original `arr`.
initial : scalar, optional
    The starting value for this product. See `~numpy.ufunc.reduce`
    for details.

    .. versionadded:: 1.22.0
where : array_like of bool, optional
    Elements to include in the product. See `~numpy.ufunc.reduce`
    for details.

    .. versionadded:: 1.22.0

Returns
-------
nanprod : ndarray
    A new array holding the result is returned unless `out` is
    specified, in which case it is returned.

See Also
--------
numpy.prod : Product across array propagating NaNs.
isnan : Show which elements are NaN.

Examples
--------
>>> import numpy as np
>>> np.nanprod(1)
1
>>> np.nanprod([1])
1
>>> np.nanprod([1, np.nan])
1.0
>>> a = np.array([[1, 2], [3, np.nan]])
>>> np.nanprod(a)
6.0
>>> np.nanprod(a, axis=0)
array([3., 2.])

Vous êtes un professionnel et vous avez besoin d'une formation ? Sensibilisation à
l'Intelligence Artificielle Voir le programme détaillé