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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.AxesBuild an axes in a figure.
Parameters: -
fig : Figure -
The axes is build in the
Figurefig. -
rect : [left, bottom, width, height] -
The axes is build in the rectangle rect. rect is in
Figurecoordinates. -
sharex, sharey : Axes, optional -
The x or y
axisis shared with the x or y axis in the inputAxes. -
frameon : bool, optional -
True means that the axes frame is visible.
- **kwargs
-
Other optional keyword arguments:
Property Description adjustable{'box', 'datalim'} agg_filtera filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alphafloat anchor2-tuple of floats or {'C', 'SW', 'S', 'SE', ...} animatedbool aspect{'auto', 'equal'} or num autoscale_onbool autoscalex_onbool autoscaley_onbool axes_locatorCallable[[Axes, Renderer], Bbox] axisbelowbool or 'line' clip_boxBboxclip_onbool clip_path[( Path,Transform) |Patch| None]containscallable facecolorcolor fccolor figureFigureframe_onbool gidstr in_layoutbool labelobject navigatebool navigate_modeunknown path_effectsAbstractPathEffectpickerNone or bool or float or callable position[left, bottom, width, height] or Bboxrasterization_zorderfloat or None rasterizedbool or None sketch_params(scale: float, length: float, randomness: float) snapbool or None titlestr transformTransformurlstr visiblebool xbound(lower: float, upper: float) xlabelstr xlim(left: float, right: float) xmarginfloat greater than -0.5 xscale{"linear", "log", "symlog", "logit", ...} xticklabelsList[str] xtickslist ybound(lower: float, upper: float) ylabelstr ylim(bottom: float, top: float) ymarginfloat greater than -0.5 yscale{"linear", "log", "symlog", "logit", ...} yticklabelsList[str] ytickslist zorderfloat
Returns: -
axes : Axes -
The new
Axesobject.
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
axis
cla()[source]-
Clear the current axes.
-
Examples using mpl_toolkits.axes_grid1.mpl_axes.Axes
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https://matplotlib.org/3.0.0/api/_as_gen/mpl_toolkits.axes_grid1.mpl_axes.Axes.html