tick_params(axis='both', **kwargs)
Tick properties that are not explicitly set using the keyword arguments remain unchanged unless reset is True.
Puts ticks inside the axes, outside the axes, or both.
Tick length in points.
Tick width in points.
Tick color.
Distance in points between tick and label.
Tick label font size in points or as a string (e.g., 'large').
Tick label color.
Tick color and label color.
Tick and label zorder.
Whether to draw the respective ticks.
Whether to draw the respective tick labels.
Tick label rotation
Gridline color.
Transparency of gridlines: 0 (transparent) to 1 (opaque).
Width of gridlines in points.
Any valid .Line2D
line style spec.
The axis to which the parameters are applied.
The group of ticks to which the parameters are applied.
Whether to reset the ticks to defaults before updating them.
Change the appearance of ticks, tick labels, and gridlines.
ax.tick_params(direction='out', length=6, width=2, colors='r',
grid_color='r', grid_alpha=0.5)
This will make all major ticks be red, pointing out of the box, and with dimensions 6 points by 2 points. Tick labels will also be red. Gridlines will be red and translucent.
See :The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.pyplot.plotting
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them