What does numpy.arrange() do?

What does numpy.arrange() do?

numpy.arange() is a function in the NumPy library that returns an array containing evenly spaced values within a given range.

It is similar to the range() function in Python, but it returns an array instead of a list, which allows it to be used with other NumPy functions.

Syntax

Here is the syntax for numpy.arange():

numpy.arange(start, stop, step, dtype)

• start: The starting value for the sequence. This parameter is optional and the default value is 0.
• stop: The end value for the sequence. This parameter is required and the returned array will include all values from start up to, but not including, stop.
• step: The distance between consecutive values in the sequence. This parameter is optional and the default value is 1.
• dtype: The data type of the returned array. This parameter is optional and the default value is int64.

Examplesss

Here are some examples:

import numpy as np

# Create an array with values from 0 to 9
a = np.arange(0, 10)
print(a)  # prints [0 1 2 3 4 5 6 7 8 9]

# Create an array with values from 0 to 9, with a step size of 2
b = np.arange(0, 10, 2)
print(b)  # prints [0 2 4 6 8]

# Create an array with values from 10 to 1, with a step size of -1
c = np.arange(10, 0, -1)
print(c)  # prints [10 9 8 7 6 5 4 3 2 1]

In the first example, we create an array with values from 0 to 9, with a default step size of 1.

In the second example, we create an array with values from 0 to 9, with a step size of 2.

In the third example, we create an array with values from 10 to 1, with a step size of -1.