How to Maintain Numerical Precision in Matplotlib Plots?

Maintaining Numerical Precision in Matplotlib Plots

When using Matplotlib to generate x-y plots, zooming in can sometimes alter the numerical format of the x-axis from standard numbers (e.g., 1050, 1060) to exponential form (e.g., 1.057e3). This can affect the readability and clarity of plots.

Solution:

Matplotlib's formatting of tick labels is handled by a Formatter object. To prevent the switch to exponential form, disable the use of offset with the following code:

<code class="python">ax = plt.gca()
ax.get_xaxis().get_major_formatter().set_useOffset(False)</code>

For cases where scientific notation is undesirable in general, the following command can be used:

<code class="python">ax.get_xaxis().get_major_formatter().set_scientific(False)</code>

Additionally, the axes.formatter.useoffset rcparam can be set globally to control this behavior across all plots. By implementing these changes, Matplotlib plots can retain the desired simple numbering on the x-axis, enhancing the accuracy and readability of data visualizations.

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