matplotlib.axes.Axes.set_yticklabels#

Axes.set_yticklabels(labels, *, minor=False, fontdict=None, **kwargs)[source]#

[Discouraged] Set the yaxis' tick labels with list of string labels.

Discouraged

The use of this method is discouraged, because of the dependency on tick positions. In most cases, you'll want to use Axes.set_[x/y/z]ticks(positions, labels) or Axes.set_yticks instead.

If you are using this method, you should always fix the tick positions before, e.g. by using Axes.set_yticks or by explicitly setting a FixedLocator. Otherwise, ticks are free to move and the labels may end up in unexpected positions.

Parameters:
labelssequence of str or of Texts

Texts for labeling each tick location in the sequence set by Axes.set_yticks; the number of labels must match the number of locations.

minorbool

If True, set minor ticks instead of major ticks.

fontdictdict, optional

Discouraged

The use of fontdict is discouraged. Parameters should be passed as individual keyword arguments or using dictionary-unpacking set_ticklabels(..., **fontdict).

A dictionary controlling the appearance of the ticklabels. The default fontdict is:

{'fontsize': rcParams['axes.titlesize'],
 'fontweight': rcParams['axes.titleweight'],
 'verticalalignment': 'baseline',
 'horizontalalignment': loc}
**kwargs

Text properties.

Warning

This only sets the properties of the current ticks. Ticks are not guaranteed to be persistent. Various operations can create, delete and modify the Tick instances. There is an imminent risk that these settings can get lost if you work on the figure further (including also panning/zooming on a displayed figure).

Use set_tick_params instead if possible.

Returns:
list of Texts

For each tick, includes tick.label1 if it is visible, then tick.label2 if it is visible, in that order.

Examples using matplotlib.axes.Axes.set_yticklabels#

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