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
subsx, subsy : sequence, optional
nonposx, nonposy : {'mask', 'clip'}, optional, default 'mask'
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Returns: | lines
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Other Parameters: | **kwargs
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