Version 2.2.3
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matplotlib.pyplot.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 of the concepts and parameters of plot can be used here as well.

The additional parameters basex, subsx and nonposx control the x-axis properties. They are just forwarded to Axes.set_xscale.

basex : scalar, optional, default 10

Base of the x logarithm.

subsx : array_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.

nonposx : {'mask', 'clip'}, optional, default 'mask'

Non-positive values in x can be masked as invalid, or clipped to a very small positive number.


A list of Line2D objects representing the plotted data.

Other Parameters:

All parameters supported by plot.