An example input would be a NetworkX graph while the desired output is a visualization of the graph with curved edges. NetworkX and Matplotlib can be integrated to draw curves instead of straight lines using Matplotlib’s FancyArrowPatch. This method involves calculating control points for Bezier curves that represent the edges.

This article explains easy ways to adjust the position of axis labels in Matplotlib to make your plots look better. labelpad parameter in set_xlabel () and set_ylabel () allows you to control the distance between the axis and its corresponding label.

NetworkX and Matplotlib can be integrated to draw curves instead of straight lines using Matplotlib’s FancyArrowPatch. This method involves calculating control points for Bezier curves that represent the edges. FancyArrowPatch allows for a high degree of customization, including arrow styles and connection types. Here’s an example:

The plt.arrow () function in matplotlib library creates arrows between two points on a plot. The following is the syntax and parameters of the plt.arrow () function. Where, x, y − These are the starting point coordinates of the arrow. dx, dy − These are lengths of the arrow in the x and y directions.