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numpy.arange([start, ]stop, [step, ]dtype=None)
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Return evenly spaced values within a given interval.
Values are generated within the half-open interval
[start, stop)
(in other words, the interval includingstart
but excludingstop
). 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.Parameters: start : number, optional
Start of interval. The interval includes this value. The default start value is 0.
stop : number
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 ofout
.step : number, 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. Ifstep
is specified,start
must also be given.dtype : dtype
The type of the output array. If
dtype
is not given, infer the data type from the other input arguments.Returns: arange : ndarray
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 ofout
being greater thanstop
.See also
Examples
>>> 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])
numpy.arange()
2017-01-10 18:12:39
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