matplotlib.pyplot.loglog(*args, **kwargs)[source]#

Make a plot with log scaling on both the x and y axis.

Call signatures:

loglog([x], y, [fmt], data=None, **kwargs)
loglog([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)

This is just a thin wrapper around plot which additionally changes both the x-axis and the y-axis to log scaling. All of the concepts and parameters of plot can be used here as well.

The additional parameters base, subs and nonpositive control the x/y-axis properties. They are just forwarded to Axes.set_xscale and Axes.set_yscale. To use different properties on the x-axis and the y-axis, use e.g. ax.set_xscale("log", base=10); ax.set_yscale("log", base=2).

basefloat, default: 10

Base of the logarithm.

subssequence, optional

The location of the minor ticks. If None, reasonable locations are automatically chosen depending on the number of decades in the plot. See Axes.set_xscale/Axes.set_yscale for details.

nonpositive{'mask', 'clip'}, default: 'mask'

Non-positive values can be masked as invalid, or clipped to a very small positive number.


All parameters supported by plot.

list of Line2D

Objects representing the plotted data.