Login Register

generic.cumprod()

generic.cumprod()

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.cumprod.html

doc_NumPy

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

ndarray.cumprod() ndarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis. Refer to numpy.cumprod for f

tf.cumprod() tf.cumprod(x, axis=0, exclusive=False, reverse=False, name=None) Compute the cumulative product of the tensor x along axis. By default, this op perf

Panel4D.cumprod() Panel4D.cumprod(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative product over requested axis. Parameters: axis : {labels (0),

Panel.cumprod() Panel.cumprod(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative product over requested axis. Parameters: axis : {items (0), ma

Series.cumprod() Series.cumprod(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative product over requested axis. Parameters: axis : {index (0)} s