What is the logspace() function from NumPy in Python?

Overview

The logspace() function in Python is used to return numbers which are evenly spaced on the log scale.

Syntax

numpy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0)

Required parameters

The logspace() function takes the following parameter values:

  • start: This represents the starting value of the sequence.
  • stop: This represents the final value of the sequence, unless the endpoint parameter is False.
  • dtype: This represents the data type of the output array

Optional parameters

  • num: This represents the number of samples to generate.
  • endpoint: This takes a boolean value. If True, the value of the stop parameter is the last sample. Otherwise, it is not included. It is True by default.
  • base: This represents the base of the log space.
  • axis: This represents the axis in the result to store the samples. It is 0 by default.

Return value

The logspace() function returns number samples equally spaced on a log scale.

Example

import numpy as np



# creating the array

myarray = np.logspace(1, 10, num=10, endpoint = True, base = 2, dtype = float, axis = 0)



print(myarray)

Explanation

  • Line 1: We import the numpy library.
  • Line 4: We create an array with samples that starts from 1, stops at 10, with a True value for its endpoint (the stop value is included), log base of 2, float data type and a default value for the axis. We assign the result to a variable myarray.
  • Line 6: We print the array myarray.

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