How to show the Logarithmic plot of a cumulative distribution function in Matplotlib?


To show the Logarithmic plot of a cumulative distribution function in Matplotlib, we can take the following steps.

Steps

  • Set the figure size and adjust the padding between and around the subplots.
  • Initialize a variable, N, for number of sample data.
  • Create data, X2 and F2 using numpy.
  • Plot X2 and F2 using plot() method.
  • Make x and y scale logarithmic.
  • To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

N = 100
data = np.random.randn(N)
X2 = np.sort(data)
F2 = np.array(range(N))/float(N)

plt.plot(X2, F2)

plt.xscale('log')
plt.yscale('log')

plt.show()

Output

Updated on: 03-Aug-2021

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