Classe « Axes »

Méthode matplotlib.figure.Axes.loglog

Signature de la méthode loglog

def loglog(self, *args, **kwargs) 

Description

loglog.__doc__

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)``.

Parameters
----------
base : float, default: 10
    Base of the logarithm.

subs : sequence, 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.

Returns
-------
list of `~.Line2D`
    Objects representing the plotted data.

Other Parameters
----------------
**kwargs
    All parameters supported by `.plot`.