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Misc

Numpy Attributes

numpy.arrange() in Python

Python numpy.arrange()

The arrange() function of Python numpy class returns an array with equally spaced elements as per the interval where the interval mentioned is half opened, i.e. [Start, Stop).

Syntax

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

Parameter

start :It is an optional parameter which represents the start of the interval range. By default,the value of start is 0.

stop  :This parameter represents the end of the interval range.

step  :It is an optional parameter representing the step size of the interval. By default, step size = 1.

dtype :This parameter represents the type of output array.

Return

This function returns an array of evenly spaced values.

Example 1

# Python Programming explaining
# numpy.arange()function
importnumpy as np
print("Arrange method:\n", np.arange(4).reshape(2, 2), "\n")
print("", np.arange(4, 10), "\n")
print("", np.arange(4, 20, 3), "\n")

Output

Arrange method:

[[0 1]
[2 3]]
[4 5 6 7 8 9]
[ 4  7 10 13 16 19]