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
plotwhich additionally changesboth the x-axis and the y-axis to log scaling. All the concepts andparameters of plot can be used here as well.The additional parametersbase,subs andnonpositive control thex/y-axis properties. They are just forwarded to
Axes.set_xscaleandAxes.set_yscale. To use different properties on the x-axis and they-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. IfNone, reasonable locationsare automatically chosen depending on the number of decades in theplot. See
Axes.set_xscale/Axes.set_yscalefor details.- nonpositive{'mask', 'clip'}, default: 'clip'
Non-positive values can be masked as invalid, or clipped to a verysmall positive number.
- **kwargs
All parameters supported by
plot.
- Returns:
- list of
Line2D Objects representing the plotted data.
- list of
