matplotlib.pyplot.semilogx

matplotlib.pyplot.semilogx(*args, **kwargs)

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 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: 'mask'

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

Returns:

lines

A list of Line2D objects representing the plotted data.

Other Parameters:

**kwargs

All parameters supported by plot.

Examples using matplotlib.pyplot.semilogx

Sample plots in Matplotlib