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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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