Module « matplotlib.pyplot »

Fonction semilogy - module matplotlib.pyplot

Signature de la fonction semilogy

def semilogy(*args, **kwargs) 

Description

semilogy.__doc__

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
----------
base : float, default: 10
    Base of the y logarithm.

subs : array-like, optional
    The 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.

Returns
-------
list of `~.Line2D`
    Objects representing the plotted data.

Other Parameters
----------------
**kwargs
    All parameters supported by `.plot`.