How to Plot Logarithmic Axes in Matplotlib?

Plotting Logarithmic Axes in Matplotlib

When plotting graphs, it's often useful to have one axis plotted on a logarithmic scale. This is particularly relevant when dealing with data that spans several orders of magnitude. In this context, a logarithmic scale allows for a more compact and informative visualization.

To create a plot with one logarithmic axis using Matplotlib, you can utilize the Axes.set_yscale method. This method allows you to modify the scale after the Axes object has been created. It also provides you with the flexibility to create a control interface for users to select the desired scale.

To add a logarithmic scale to your plot, include the following line in your code:

<code class="python">ax.set_yscale('log')</code>

To revert to a linear scale, use 'linear' as the argument:

<code class="python">ax.set_yscale('linear')</code>

Here's a modified version of your sample code that incorporates the logarithmic scale:

<code class="python">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')

plt.show()</code>

This code will produce a graph with the values of the "y" axis plotted on a logarithmic scale.

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