How to Specify the Format of Tick Labels for Floating-Point Values in Matplotlib?

Formatting Tick Labels for Floating-Point Values

In matplotlib, you can specify the format of tick labels for floating-point values to display specific decimal places or suppress scientific notation.

To achieve this, you can use the FormatStrFormatter class from the matplotlib.ticker module. This formatter allows you to specify a format string for the labels.

For example, to display two decimal places on the y-axis, you can use the following code:

<code class="python">import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter

fig, ax = plt.subplots()

ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))</code>

To suppress scientific notation, use a format string like:

<code class="python">ax.yaxis.set_major_formatter(FormatStrFormatter('%f'))</code>

Applying these formatters to your code, you can achieve the desired formatting on the y-axes of your subplots:

<code class="python"># ... (same code as in the original snippet) ...

axarr[0].yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
axarr[1].yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
axarr[2].yaxis.set_major_formatter(FormatStrFormatter('%.2f'))</code>

By using FormatStrFormatter, you can precisely control the formatting of tick labels to suit your specific visualization needs.

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