numpy.linspace()

It is similar to the arrange function. However, it doesn?t allow us to specify the step size in the syntax.

Instead of that, it only returns evenly separated values over a specified period. The system implicitly calculates the step size.

It accepts the following parameters.

start: It represents the starting value of the interval.
stop:It represents the stopping value of the interval.
num: The amount of evenly spaced samples over the interval to be generated. The default is 50.
endpoint: Its true value indicates that the stopping value is included in the interval.
rettstep: This has to be a boolean value. Represents the steps and samples between the consecutive numbers.
dtype: It represents the data type of the array items.

An array within the specified range is returned.

import numpy as np
arr = np.linspace(10, 20, 5)
print("The array over the given range is ",arr)

Output:

The array over the given range is  [10.  12.5 15.  17.5 20.]

import numpy as np
arr = np.linspace(10, 20, 5, endpoint = False)
print("The array over the given range is ",arr)

Output:

The array over the given range is  [10. 12. 14. 16. 18.]

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