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

