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 ScalerFormatter
by 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\'))