numpy.arrange()

It creates an array by using the evenly spaced values over the given interval. The interval mentioned is half opened i.e. [Start, Stop]).

Syntax

snippet
numpy.arrange(start, stop, step, dtype)

Parameters

It accepts the following parameters.

  1. start: The starting of an interval. The default is 0.
  2. stop: represents the value at which the interval ends excluding this value.
  3. step: The number by which the interval values change.
  4. dtype: the data type of the numpy array items.

Return

An array within the specified range is returned.

Example 1

snippet
import numpy as np
arr = np.arange(0,10,2,float)
print(arr)

Output:

Output
[0. 2. 4. 6. 8.]

Example 2

snippet
import numpy as np
arr = np.arange(10,100,5,int)
print("The array over the given range is ",arr

Output:

Output
The array over the given range is [10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95]
Related Tutorial
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28 numpy.ravel() in Python
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30 Numpy arccos() method
31 Numpy arcsin() method
32 Numpy arctan() method
33 Numpy degrees() method
34 Numpy tan() method
35 Numpy deg2rad() method
36 Numpy hypot() method
37 Numpy rad2deg() method
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40 Numpy arctanh()
41 Numpy ceil()
42 Numpy fix()
43 Numpy floor()
44 Numpy rint()
45 Numpy tanh()
46 Numpy trunc()
47 numpy.matlib.empty()
48 numpy.matlib.eye()
49 numpy.matlib.identity()
50 numpy.matlib.ones()
51 numpy.matlib.zeros()
52 numpy.arrange()

53 numpy.asarray()
54 numpy.frombuffer()
55 numpy.fromiter()
56 numpy.linspace()
57 numpy.logspace()
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