mpl_toolkits.axes_grid1.mpl_axes.Axes¶

class mpl_toolkits.axes_grid1.mpl_axes.Axes(fig, rect, facecolor=None, frameon=True, sharex=None, sharey=None, label='', xscale=None, yscale=None, **kwargs)[source]¶

Bases: matplotlib.axes._axes.Axes

Build an axes in a figure.

Parameters:

fig : Figure

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, sharey : Axes, optional

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

frameon : bool, 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
`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`	[(`Path`, `Transform`) \| `Patch` \| 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`
`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`	(lower: float, upper: float)
`xlabel`	str
`xlim`	(left: float, right: float)
`xmargin`	float greater than -0.5
`xscale`	{"linear", "log", "symlog", "logit", ...}
`xticklabels`	List[str]
`xticks`	list
`ybound`	(lower: float, upper: float)
`ylabel`	str
`ylim`	(bottom: float, top: float)
`ymargin`	float greater than -0.5
`yscale`	{"linear", "log", "symlog", "logit", ...}
`yticklabels`	List[str]
`yticks`	list
`zorder`	float

Returns:

axes : Axes: The new Axes object.

class AxisDict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)[source]¶: Bases: dict