# matplotlib.pyplot.semilogy¶

matplotlib.pyplot.semilogy(*args, **kwargs)[source]

Make a plot with log scaling on the y axis.

Call signatures:

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


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

Parameters: basefloat, default: 10Base of the y logarithm. subsarray-like, optionalThe location of the minor yticks. If None, reasonable locations are automatically chosen depending on the number of decades in the plot. See Axes.set_yscale for details. nonpositive{'mask', 'clip'}, default: 'mask'Non-positive values in y can be masked as invalid, or clipped to a very small positive number. linesA list of Line2D objects representing the plotted data. **kwargsAll parameters supported by plot.