# numpy.arange() function with example in python

numpy.arange() : This function return evenly spaced values within a given interval.

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

Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). 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 numpy.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 of out.

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. If step is specified as a position argument, 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 of out being greater than stop.

### #numpy.arange() example program

` ` ``` import numpy as np print(np.arange(5)) print(np.arange(5.0)) print(np.arange(4, 12)) print(np.arange(10, 20, 2)) ``` ` ` ` `

Output: