numpy.ma.arange([start, ]stop, [step, ]dtype=None) = <numpy.ma.core._convert2ma object>
Return evenly spaced values within a given interval.
Values are generated within the halfopen interval [start, stop)
(in other words, the interval including start
but excluding stop
). For integer arguments the function is equivalent to the Python builtin range
function, but returns an ndarray rather than a list.
When using a noninteger step, such as 0.1, the results will often not be consistent. It is better to use numpy.linspace
for these cases.
Parameters: 


Returns: 

See also
linspace
ogrid
mgrid
>>> np.arange(3) array([0, 1, 2]) >>> np.arange(3.0) array([ 0., 1., 2.]) >>> np.arange(3,7) array([3, 4, 5, 6]) >>> np.arange(3,7,2) array([3, 5])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.ma.arange.html