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 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 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

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, ymax : float, optional 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)) option : bool 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. '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. emit : bool, 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, ymax : float The axis limits.

See also

matplotlib.axes.Axes.set_xlim

matplotlib.axes.Axes.set_ylim

cla(self) [source]

Clear the current axes.

Examples using mpl_toolkits.axes_grid1.mpl_axes.Axes

Demo Axes Divider

Demo Fixed Size Axes