I’m using Matplotlib in Python to plot simple x-y datasets. This produces nice-looking graphs, although when I “zoom in” too close on various sections of the plotted graph using the Figure View (which appears when you execute plt.show() ), the x-axis values change from standard number form (1050, 1060, 1070 etc.) to scientific form with exponential notation (e.g. 1, 1.5, 2.0 with the x-axis label given as +1.057e3).

I’d prefer my figures to retain the simple numbering of the axis, rather than using exponential form. Is there a way I can force Matplotlib to do this?

The formatting of tick labels is controlled by a Formatter object, which assuming you haven’t done anything fancy will be a ScalerFormatterby default. This formatter will use a constant shift if the fractional change of the values visible is very small. To avoid this, simply turn it off:

plt.plot(arange(0,100,10) + 1000, arange(0,100,10))
ax = plt.gca()
ax.get_xaxis().get_major_formatter().set_useOffset(False)
plt.draw()

If you want to avoid scientific notation in general,

ax.get_xaxis().get_major_formatter().set_scientific(False)

Can control this with globally via the axes.formatter.useoffset rcparam.

You can use a simpler command to turn it off:

plt.ticklabel_format(useOffset=False)

You can use something like:

from matplotlib.ticker import ScalarFormatter, FormatStrFormatter

ax.xaxis.set_major_formatter(FormatStrFormatter('%.0f'))

Use the following command:
ax.ticklabel_format(useOffset=False, style="plain")

If you are using a subplot, you may experience the AttributeError: This method only works with the ScalarFormatter in which case you would add axis="y" like the below. You can change ‘y’ to the axis with the issues.

ax1.ticklabel_format(useOffset=False, style="plain", axis="y")

Source question and answer here. Note, the axis 'y' command use is hidden in the answer comments.

I have used below code before the graphs, and it worked seamless for me..

plt.ticklabel_format(style="plain")

Exactly I didn’t want scientific numbers to be shown when I zoom in, and the following worked in my case too. I am using Lat/Lon in labeling where scientific form doesn’t make sense.

plt.ticklabel_format(useOffset=False)