matplotlib.axis.Axis.set_ticks#

Axis.set_ticks(ticks, labels=None, *, minor=False, **kwargs)[source]#

Set this Axis' tick locations and optionally tick labels.

If necessary, the view limits of the Axis are expanded so that all given ticks are visible.

Parameters:

ticks1D array-like

Array of tick locations (either floats or in axis units). The axis Locator is replaced by a FixedLocator.

Pass an empty list (set_ticks([])) to remove all ticks.

Some tick formatters will not label arbitrary tick positions; e.g. log formatters only label decade ticks by default. In such a case you can set a formatter explicitly on the axis using Axis.set_major_formatter or provide formatted labels yourself.

labelslist of str, optional

Tick labels for each location in ticks; must have the same length as ticks. If set, the labels are used as is, via a FixedFormatter. If not set, the labels are generated using the axis tick Formatter.

minorbool, default: False

If False, set only the major ticks; if True, only the minor ticks.

**kwargs

Text properties for the labels. Using these is only allowed if you pass labels. In other cases, please use tick_params.

Notes

The mandatory expansion of the view limits is an intentional design choice to prevent the surprise of a non-visible tick. If you need other limits, you should set the limits explicitly after setting the ticks.

Examples using matplotlib.axis.Axis.set_ticks#

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Multiple Axes animation

Multiple Axes animation