semilogx(*args, **kwargs)

Call signatures:

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

This is just a thin wrapper around :None:None:`.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 :None:None:`.Axes.set_xscale`.

Parameters

base : float, default: 10

Base of the x logarithm.

subs : 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 :None:None:`.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.

**kwargs :

All parameters supported by :None:None:`.plot`.

Returns

list of `.Line2D`

Objects representing the plotted data.

Make a plot with log scaling on the x axis.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.signal._ltisys.lti.bode scipy.signal._ltisys.dlti.bode scipy.signal._filter_design.freqs scipy.signal._filter_design.ellip scipy.signal._filter_design.lp2bs scipy.signal._filter_design.lp2bp scipy.signal._filter_design.butter scipy.signal._ltisys.bode scipy.signal._filter_design.freqs_zpk scipy.signal._filter_design.cheby1 scipy.signal._filter_design.bessel scipy.signal._filter_design.bilinear matplotlib.pyplot.plotting scipy.signal._filter_design.lp2hp scipy.signal._filter_design.ellipord scipy.signal._filter_design.lp2lp scipy.signal._filter_design.cheby2 scipy.signal._filter_design.cheb1ord scipy.signal._filter_design.buttord scipy.signal._filter_design.bilinear_zpk scipy.signal._filter_design.cheb2ord scipy.signal._ltisys.dbode

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