matplotlib.axes.Axes.set#
- Axes.set(*, adjustable=<UNSET>, agg_filter=<UNSET>, alpha=<UNSET>, anchor=<UNSET>, animated=<UNSET>, aspect=<UNSET>, autoscale_on=<UNSET>, autoscalex_on=<UNSET>, autoscaley_on=<UNSET>, axes_locator=<UNSET>, axisbelow=<UNSET>, box_aspect=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, facecolor=<UNSET>, forward_navigation_events=<UNSET>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, mouseover=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, subplotspec=<UNSET>, title=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, xbound=<UNSET>, xinverted=<UNSET>, xlabel=<UNSET>, xlim=<UNSET>, xmargin=<UNSET>, xscale=<UNSET>, xticklabels=<UNSET>, xticks=<UNSET>, ybound=<UNSET>, yinverted=<UNSET>, ylabel=<UNSET>, ylim=<UNSET>, ymargin=<UNSET>, yscale=<UNSET>, yticklabels=<UNSET>, yticks=<UNSET>, zorder=<UNSET>)[source] #
Set multiple properties at once.
Supported properties are
Property
Description
{'box', 'datalim'}
a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image
float or None
(float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}
bool
{'auto', 'equal'} or float
bool
unknown
unknown
Callable[[Axes, Renderer], Bbox]
bool or 'line'
float or None
BboxBase
or Nonebool
Patch or (Path, Transform) or None
bool or "auto"
bool
str
bool
object
bool
bool
unknown
list of
AbstractPathEffect
None or bool or float or callable
[left, bottom, width, height] or
Bbox
float or None
bool
(scale: float, length: float, randomness: float)
bool or None
unknown
str
str
bool
(lower: float, upper: float)
unknown
str
(left: float, right: float)
float greater than -0.5
unknown
unknown
unknown
(lower: float, upper: float)
unknown
str
(bottom: float, top: float)
float greater than -0.5
unknown
unknown
unknown
float
Examples using matplotlib.axes.Axes.set
#
Contour plot of irregularly spaced data
Timeline with lines, dates, and text
Clip the data to the axes view limits
Project contour profiles onto a graph
Project filled contour onto a graph
3D voxel / volumetric plot with RGB colors
Reference for Matplotlib artists
Draw regions that span an Axes
Create multiple subplots using plt.subplots
Angle annotations on bracket arrows
fill_between(x1, y1, z1, x2, y2, z2)
Arranging multiple Axes in a Figure