matplotlib.pyplot.locator_params

matplotlib.pyplot.locator_params(axis='both', tight=None, **kwargs) [source]

Control behavior of tick locators.

Parameters:

Parameters:	`axis : {'both', 'x', 'y'}, optional` The axis on which to operate. `tight : bool or None, optional` Parameter passed to `autoscale_view()`. Default is None, for no change.
Other Parameters:	kw : Remaining keyword arguments are passed to directly to the `set_params()` method. Typically one might want to reduce the maximum number of ticks and use tight bounds when plotting small subplots, for example:: ax.locator_params(tight=True, nbins=4) Because the locator is involved in autoscaling, :meth:`autoscale_view` is called automatically after the parameters are changed. This presently works only for the :class:`~matplotlib.ticker.MaxNLocator` used by default on linear axes, but it may be generalized.**

axis : {'both', 'x', 'y'}, optional: The axis on which to operate.
tight : bool or None, optional: Parameter passed to autoscale_view(). Default is None, for no change.

Other Parameters:

**kw :: Remaining keyword arguments are passed to directly to the set_params() method.
Typically one might want to reduce the maximum number
of ticks and use tight bounds when plotting small
subplots, for example::: ax.locator_params(tight=True, nbins=4)
Because the locator is involved in autoscaling,
:meth:`autoscale_view` is called automatically after
the parameters are changed.
This presently works only for the
:class:`~matplotlib.ticker.MaxNLocator` used
by default on linear axes, but it may be generalized.