numpy.arange¶

numpy.arange([start,]stop,[step,]dtype=None)¶

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-inrange function,but returns an ndarray rather than a list.

When using a non-integer step, such as 0.1, the results will often notbe consistent. It is better to uselinspace for these cases.

Parameters:

start:number, optional Start of interval. The interval includes this value. The defaultstart value is 0. stop:number End of interval. The interval does not include this value, exceptin some cases wherestep is not an integer and floating pointround-off affects the length ofout. step:number, optional Spacing between values. For any outputout, this is the distancebetween two adjacent values,out[i+1]-out[i]. The defaultstep size is 1. Ifstep is specified as a position argument,start must also be given. dtype:dtype The type of the output array. Ifdtype is not given, infer the datatype from the other input arguments.

Returns:

arange:ndarray Array of evenly spaced values. For floating point arguments, the length of the result isceil((stop-start)/step). Because of floating point overflow,this rule may result in the last element ofout being greaterthanstop.

See also

linspace

Evenly spaced numbers with careful handling of endpoints.

ogrid

Arrays of evenly spaced numbers in N-dimensions.

mgrid

Grid-shaped arrays of evenly spaced numbers in N-dimensions.

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])