mpl_toolkits.axisartist.axislines.Axes

class mpl_toolkits.axisartist.axislines.Axes(*args, grid_helper=None, **kwargs) [source]

Bases: matplotlib.axes._axes.Axes

Build an axes in a figure.

Parameters:

figFigure

The axes is build in the Figure fig.

rect[left, bottom, width, height]

The axes is build in the rectangle rect. rect is in Figure coordinates.

sharex, shareyAxes, optional

The x or y axis is shared with the x or y axis in the input Axes.

frameonbool, optional

True means that the axes frame is visible.

**kwargs

Other optional keyword arguments:

Property	Description
`adjustable`	{'box', 'datalim'}
`agg_filter`	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
`alpha`	float or None
`anchor`	2-tuple of floats or {'C', 'SW', 'S', 'SE', ...}
`animated`	bool
`aspect`	{'auto', 'equal'} or num
`autoscale_on`	bool
`autoscalex_on`	bool
`autoscaley_on`	bool
`axes_locator`	Callable[[Axes, Renderer], Bbox]
`axisbelow`	bool or 'line'
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	Patch or (Path, Transform) or None
`contains`	callable
`facecolor`	color
`fc`	color
`figure`	`Figure`
`frame_on`	bool
`gid`	str
`in_layout`	bool
`label`	object
`navigate`	bool
`navigate_mode`	unknown
`path_effects`	`AbstractPathEffect`
`picker`	None or bool or float or callable
`position`	[left, bottom, width, height] or `Bbox`
`prop_cycle`	unknown
`rasterization_zorder`	float or None
`rasterized`	bool or None
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`title`	str
`transform`	`Transform`
`url`	str
`visible`	bool
`xbound`	unknown
`xlabel`	str
`xlim`	(bottom: float, top: float)
`xmargin`	float greater than -0.5
`xscale`	{"linear", "log", "symlog", "logit", ...}
`xticklabels`	List[str]
`xticks`	unknown
`ybound`	unknown
`ylabel`	str
`ylim`	(bottom: float, top: float)
`ymargin`	float greater than -0.5
`yscale`	{"linear", "log", "symlog", "logit", ...}
`yticklabels`	List[str]
`yticks`	unknown
`zorder`	float

Returns:

axesAxes: The new Axes object.

class AxisDict(**kwargs) [source]

Bases: dict

[Deprecated]

Notes

Deprecated since version 3.1:

property axis

Convenience method to get or set some axis properties.

Call signatures:

xmin, xmax, ymin, ymax = axis()
xmin, xmax, ymin, ymax = axis([xmin, xmax, ymin, ymax])
xmin, xmax, ymin, ymax = axis(option)
xmin, xmax, ymin, ymax = axis(**kwargs)

Parameters:

xmin, xmax, ymin, ymaxfloat, optional

The axis limits to be set. This can also be achieved using

ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))

optionbool or str

If a bool, turns axis lines and labels on or off. If a string, possible values are:

Value	Description
'on'	Turn on axis lines and labels. Same as `True`.
'off'	Turn off axis lines and labels. Same as `False`.
'equal'	Set equal scaling (i.e., make circles circular) by changing axis limits. This is the same as `ax.set_aspect('equal', adjustable='datalim')`. Explicit data limits may not be respected in this case.
'scaled'	Set equal scaling (i.e., make circles circular) by changing dimensions of the plot box. This is the same as `ax.set_aspect('equal', adjustable='box', anchor='C')`. Additionally, further autoscaling will be disabled.
'tight'	Set limits just large enough to show all data, then disable further autoscaling.
'auto'	Automatic scaling (fill plot box with data).
'normal'	Same as 'auto'; deprecated.
'image'	'scaled' with axis limits equal to data limits.
'square'	Square plot; similar to 'scaled', but initially forcing `xmax-xmin == ymax-ymin`.

emitbool, optional, default True

Whether observers are notified of the axis limit change. This option is passed on to set_xlim and set_ylim.

Returns:

xmin, xmax, ymin, ymaxfloat: The axis limits.

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mpl_toolkits.axisartist.axislines.Axes

Notes