- nlcpy.arange(start, stop=None, step=1, dtype=None)
Returns evenly spaced values within a given interval.
Values are generated within the half-open interval
[start, stop)(in other words, the interval including start but excluding stop). If stop is None, values are ganerated within
[0, start). For integer arguments the function is equivalent to the Python built-in range function, but returns an ndarray rather than a list. When using a non-integer step, such as 0.1, the results will often not be consistent. It is better to use
linspace()for these cases.
Start of interval. The interval includes this value.
- stopnumber, optional
End of interval. The interval does not include this value, except in some cases where step is not an integer and floating point round-off affects the length of out.
- stepnumber, optional
Spacing between values. For any output out, this is the distance between two adjacent values,
out[i+1] - out[i]. The default step size is 1. If step is specified as a position argument, start must also be given.
- dtypedtype, optional
The type of the output array. If dtype is not given, infer the data type from the other input arguments.
Array of evenly spaced values. For floating point arguments, the length of the result is
ceil((stop - start)/step). Because of floating point overflow, this rule may result in the last element of out being greater than stop.
Returns evenly spaced numbers over a specified interval.
>>> import nlcpy as vp >>> vp.arange(3) array([0, 1, 2]) >>> vp.arange(3.0) array([0., 1., 2.]) >>> vp.arange(3,7) array([3, 4, 5, 6]) >>> vp.arange(3,7,2) array([3, 5])