How to Create Graphs with Logarithmic Axes in Matplotlib?

How to Plot Graphs with Logarithmic Axes in Matplotlib

In data visualization with Matplotlib, logarithmic scales are useful when data values span several orders of magnitude. To create graphs with logarithmic axes, you can use the Axes.set_yscale method.

Problem:

You want to plot a graph with one logarithmic axis using Matplotlib.

<code class="python">import matplotlib.pyplot as plt
a = [pow(10, i) for i in range(10)]  # exponential
fig = plt.figure()
ax = fig.add_subplot(2, 1, 1)

line, = ax.plot(a, color='blue', lw=2)
plt.show()</code>

Solution:

Add the following line to your code:

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

You can use 'linear' to switch back to a linear scale.

Here's the modified code:

<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>

Result:

The resulting graph will have one axis plotted on a logarithmic scale, displaying the data values as logarithmic ticks. This allows for a more compact visualization of data that spans multiple orders of magnitude.

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