matplotlib.axes.Axes.loglog#

Axes.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 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).

Parameters:

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: 'clip'

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

**kwargs

All parameters supported by plot.

Returns:

list of Line2D

Objects representing the plotted data.

Examples using matplotlib.axes.Axes.loglog#

[]

Secondary Axis

Secondary Axis

[]

Log scale

Log scale

[]

Axis scales

Axis scales