Login Register

generic.prod()

generic.prod()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also

The

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.generic.prod.html

doc_NumPy

2017-01-10 18:08:48

Comments

Leave a Comment

Please login to continue.

Popular Articles

matrix.prod() matrix.prod(axis=None, dtype=None, out=None) [source] Return the product of the array elements over the given axis. Refer to prod for full docume

Panel.prod() Panel.prod(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return the product of the values for the requested axis Para

ndarray.prod() ndarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis Refer to numpy.prod fo

recarray.prod() recarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis Refer to numpy.prod f

Series.prod() Series.prod(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return the product of the values for the requested axis Par