How to Eliminate Relative Shift in Matplotlib Axis Labels?

Eliminating Relative Shift in Matplotlib Axis

When plotting data involving large numbers, it's common to encounter an axis with relative shift, resulting in ticks with a fractional component accompanied by a magnitude indicator (e.g., " 1e3"). This can be unintuitive, especially when dealing with smaller datasets.

To resolve this issue, Matplotlib provides a straightforward solution that involves configuring the major formatter object on the x-axis:

<code class="python">plot([1000, 1001, 1002], [1, 2, 3])
gca().get_xaxis().get_major_formatter().set_useOffset(False)
draw()</code>

By setting useOffset to False, the formatter is instructed to display the tick values without the relative shift. This results in cleaner axis labels, as seen in the following code:

<code class="python">plot([1000, 1001, 1002], [1, 2, 3])
gca().get_xaxis().get_major_formatter().set_useOffset(False)
draw()</code>

This code will produce an axis with tick values like this:

1000.0  1000.5  1001.0  1001.5  1002.0

Alternatively, in more recent versions of Matplotlib (1.4 ), the default behavior can be modified globally via the axes.formatter.useoffset rcparam:

rcParams['axes.formatter.useoffset'] = False

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