How to Create Logarithmic Axis Plots in Matplotlib?

Logarithmic Axis Plots with Matplotlib

To create a graph with a logarithmic axis using matplotlib, you can utilize the Axes.set_yscale method. This allows you to adjust the scale after creating the Axes object. The method also provides the option to create a control that enables the user to select the scale.

To implement a logarithmic axis, you can add the following line to your code:

ax.set_yscale('log')

To revert to a linear scale, you can use 'linear' instead. Here's the revised version of your code:

<code class="python">import pylab
import matplotlib.pyplot as plt

a = [pow(10, i) for i in range(10)]
fig = plt.figure()
ax = fig.add_subplot(2, 1, 1)

line, = ax.plot(a, color='blue', lw=2)

ax.set_yscale('log')

pylab.show()</code>

By adding these lines, the y-axis of the graph will be plotted on a logarithmic scale, similar to the image provided in the answer:

[Image of a line graph with a logarithmic y-axis]

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