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Module « matplotlib.pyplot »
Signature de la fonction yticks
def yticks(ticks: 'ArrayLike | None' = None, labels: 'Sequence[str] | None' = None, *, minor: 'bool' = False, **kwargs) -> 'tuple[list[Tick] | np.ndarray, list[Text]]'
Description
help(matplotlib.pyplot.yticks)
Get or set the current tick locations and labels of the y-axis.
Pass no arguments to return the current values without modifying them.
Parameters
----------
ticks : array-like, optional
The list of ytick locations. Passing an empty list removes all yticks.
labels : array-like, optional
The labels to place at the given *ticks* locations. This argument can
only be passed if *ticks* is passed as well.
minor : bool, default: False
If ``False``, get/set the major ticks/labels; if ``True``, the minor
ticks/labels.
**kwargs
`.Text` properties can be used to control the appearance of the labels.
.. warning::
This only sets the properties of the current ticks, which is
only sufficient if you either pass *ticks*, resulting in a
fixed list of ticks, or if the plot is static.
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 `~.pyplot.tick_params` instead if possible.
Returns
-------
locs
The list of ytick locations.
labels
The list of ylabel `.Text` objects.
Notes
-----
Calling this function with no arguments (e.g. ``yticks()``) is the pyplot
equivalent of calling `~.Axes.get_yticks` and `~.Axes.get_yticklabels` on
the current Axes.
Calling this function with arguments is the pyplot equivalent of calling
`~.Axes.set_yticks` and `~.Axes.set_yticklabels` on the current Axes.
Examples
--------
>>> locs, labels = yticks() # Get the current locations and labels.
>>> yticks(np.arange(0, 1, step=0.2)) # Set label locations.
>>> yticks(np.arange(3), ['Tom', 'Dick', 'Sue']) # Set text labels.
>>> yticks([0, 1, 2], ['January', 'February', 'March'],
... rotation=45) # Set text labels and properties.
>>> yticks([]) # Disable yticks.
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Machine Learning
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