numpy.logspace() - ( Creating Arrays with NumPy )

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Syntax

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

Example

import numpy as np

# creating an array with 5 logarithmically spaced values between 1 and 100
arr = np.logspace(0, 2, 5)

print(arr)

Output

array([  1. ,   5.6,  31.6, 177.8, 1000.])

Explanation

numpy.logspace() is a NumPy function that returns an array with evenly spaced logarithmic values. It takes in the starting and ending values, the number of values to be created, and the logarithmic base.

In the above example, np.logspace(0, 2, 5) returns an array with 5 logarithmically spaced values between 10^0 (1) and 10^2 (100). The values are calculated using the base 10 logarithm.

Use

numpy.logspace() is useful in creating arrays with logarithmically spaced values. It can be used in various scientific and mathematical applications, such as signal processing, engineering, and data analysis.

Important Points

• numpy.logspace() returns an array with evenly spaced logarithmic values
• It takes the starting and ending values, the number of values to be created, the logarithmic base, and other optional arguments
• The base is 10.0 by default, but can be changed to any other value
• The array values are calculated using the base 10 logarithm

Summary

In conclusion, numpy.logspace() is a useful function for creating arrays with logarithmically spaced values. It is widely used in scientific and mathematical applications, and can be customized with various optional arguments. By default, it uses a base of 10.0 to calculate the logarithmic values.