matplotlib 3.5.1

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

Call signatures:

loglog([x], y, [fmt], data=None, **kwargs)
loglog([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)

This is just a thin wrapper around :None:None:`.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 :None:None:`.Axes.set_xscale` and :None:None:`.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 :None:None:`.Axes.set_xscale`/:None:None:`.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.

**kwargs :

All parameters supported by :None:None:`.plot`.

Returns

list of `.Line2D`

Objects representing the plotted data.

Make a plot with log scaling on both the x and y axis.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /matplotlib/axes/_axes.py#1720
type: <class 'function'>
Commit: