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A scale is an object that gets attached to an axis. The class documentation is at scale. set_xscale and set_yscale set the scale on the respective Axis objects. You can determine the scale on an axis with get_scale:
Customize the axis in ggplot2. Change or remove the axis titles, labels and tick marks, zoom in, change the scales and add a secondary axis to create a dual axis plot
def set_axes_equal(ax: plt.Axes): """Set 3D plot axes to equal scale. Make axes of 3D plot have equal scale so that spheres appear as spheres and cubes as cubes. Required since `ax.axis('equal')` and `ax.set_aspect('equal')` don't work on 3D.
lim = axis returns the x-axis and y-axis limits for the current axes. For 3-D axes, it also returns the z-axis limits. For polar axes, it returns the theta-axis and r-axis limits.
Styling ticks (tick parameters) #. The appearance of ticks can be controlled at a low level by finding the individual Tick on the axis. However, usually it is simplest to use tick_params to change all the objects at once. The tick_params method can change the properties of ticks: length. direction (in or out of the frame) colors. width and length.
The visible x and y axis range can be configured manually by setting the range axis property to a list of two values, the lower and upper bound. Here's an example of manually specifying the x and y axis range for a faceted scatter plot created with Plotly Express.
The x-axis and y-axis are shown by default in all charts containing data series with a cartesian coordinate system. Here is a quick overview of the axis elements: Axis labels, tickmarks and gridlines. The axis labels, tickmarks and gridlines are closely linked and all scale together.
