# matplotlib.pyplot.loglog¶

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 basex/y, subsx/y and nonposx/y control the x/y-axis properties. They are just forwarded to Axes.set_xscale and Axes.set_yscale.

Parameters: basex, basey : scalar, optional, default 10 Base of the x/y logarithm. subsx, subsy : sequence, optional The location of the minor x/y 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. nonposx, nonposy : {'mask', 'clip'}, optional, default 'mask' Non-positive values in x or y can be masked as invalid, or clipped to a very small positive number. lines A list of Line2D objects representing the plotted data. **kwargs All parameters supported by plot.