# matplotlib.pyplot.semilogx¶

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.

Parameters: 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. lines A list of Line2D objects representing the plotted data. **kwargs All parameters supported by plot.