mpl_toolkits.axes_grid1.mpl_axes.Axes
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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
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The axes is build in the
Figure
fig. -
rect : [left, bottom, width, height]
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The axes is build in the rectangle rect. rect is in
Figure
coordinates. -
sharex, sharey : Axes, optional
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The x or y
axis
is shared with the x or y axis in the inputAxes
. -
frameon : bool, optional
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True means that the axes frame is visible.
- **kwargs
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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
unknown xlabel
str xlim
(left: float, right: float) xmargin
float greater than -0.5 xscale
{"linear", "log", "symlog", "logit", ...} xticklabels
List[str] xticks
list ybound
unknown 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
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The new
Axes
object.
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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
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axis
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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, ymax : float, optional
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The axis limits to be set. Either none or all of the limits must be given. This can also be achieved using
ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))
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option : bool or str
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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. 'scaled' Set equal scaling (i.e., make circles circular) by changing dimensions of the plot box. 'tight' Set limits just large enough to show all data. '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
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emit : bool, optional, default True
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Whether observers are notified of the axis limit change. This option is passed on to
set_xlim
andset_ylim
.
Returns: -
xmin, xmax, ymin, ymax : float
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The axis limits.
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cla(self)
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Clear the current axes.
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Examples using mpl_toolkits.axes_grid1.mpl_axes.Axes
© 2012–2018 Matplotlib Development Team. All rights reserved.
Licensed under the Matplotlib License Agreement.
https://matplotlib.org/3.1.1/api/_as_gen/mpl_toolkits.axes_grid1.mpl_axes.Axes.html