This code snippet performs the following tasks: 1. **Importing library**: It...

This code snippet performs the following tasks:

1. Importing library: It imports the matplotlib.pyplot module for plotting.

2. Extracting latitude and longitude:

   • It assumes the existence of a list called waypoints, where each waypoint is represented as a tuple or list in the format [latitude, longitude].
   • It extracts the latitudes and longitudes from this list into two separate lists: lats (latitude values) and lons (longitude values), using a list comprehension.

3. Creating a plot:

   • It creates a new figure with a specified size of 8x8 inches.
   • It uses plt.plot() to plot the lons (x-axis) against lats (y-axis), representing the route with circular markers (marker="o") and a blue line (color="blue"), with a line width of 2.
   • The plot is titled "Flat Marathon Route - Stockholm" and has labels for both axes ("Longitude" for x-axis and "Latitude" for y-axis).
   • A grid is displayed on the plot for better visualization, and the aspect ratio is set to be equal with plt.axis("equal").

4. Saving the plot:

   • The plot is saved as a static image file at the path /mnt/data/stockholm_flat_marathon_route.png with a resolution of 150 dots per inch (DPI) using plt.savefig(static_path).
   • Finally, plt.close() is called to release the resources used by the current plot.

5. Returning the saved path:

   • The code snippet ends by outputting the string value of static_path (i.e., the file path of the saved image).

Summary:

This code generates and saves a visual plot of a route based on latitude and longitude waypoints, labeling it as the "Flat Marathon Route - Stockholm". The resulting image is saved to the specified filepath for later use.