matplotlib.axes.Axes.semilogx#

Axes.semilogx(*args, **kwargs)[source]#

Make a plot with log scaling on the x-axis.

Call signatures:

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

This is just a thin wrapper around plot which additionally changes the x-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-axis properties. They are just forwarded to Axes.set_xscale.

Parameters:

basefloat, default: 10

Base of the x logarithm.

subsarray-like, optional

The location of the minor xticks. If None, reasonable locations are automatically chosen depending on the number of decades in the plot. See Axes.set_xscale for details.

nonpositive{'mask', 'clip'}, default: 'clip'

Non-positive values in x 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.semilogx#

[]

Log scale

Log scale

[]

Axis scales

Axis scales