matplotlib.axes.Axes.axis#

Axes.axis(arg=None, /, *, emit=True, **kwargs)[source]#

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, ymaxfloat, optional

The axis limits to be set. This can also be achieved using

ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))

optionbool or str

If a bool, turns axis lines and labels on or off. If a string, possible values are:

Value	Description
'off' or `False`	Hide all axis decorations, i.e. axis labels, spines, tick marks, tick labels, and grid lines. This is the same as `set_axis_off()`.
'on' or `True`	Do not hide all axis decorations, i.e. axis labels, spines, tick marks, tick labels, and grid lines. This is the same as `set_axis_on()`.
'equal'	Set equal scaling (i.e., make circles circular) by changing the axis limits. This is the same as `ax.set_aspect('equal', adjustable='datalim')`. Explicit data limits may not be respected in this case.
'scaled'	Set equal scaling (i.e., make circles circular) by changing dimensions of the plot box. This is the same as `ax.set_aspect('equal', adjustable='box', anchor='C')`. Additionally, further autoscaling will be disabled.
'tight'	Set limits just large enough to show all data, then disable further autoscaling.
'auto'	Automatic scaling (fill plot box with data).
'image'	'scaled' with axis limits equal to data limits.
'square'	Square plot; similar to 'scaled', but initially forcing `xmax-xmin == ymax-ymin`.

emitbool, default: True