This might be a very basic question, I have plot the 2d ray path but Can we do the following work in GMT6? Any suggestion would be appreciated

I have multiple lines within region where x= 90.3 to 91 and y= 20.3 to 20.7.

I want to divide the map into smaller grid sizes (0.001) to convert like points and plot the point density (line) in each grid using colormesh. I have done some tests in Python using the below dataset but it seems like it also shows the density where no lines are crossing. I also wanna overlap some feature in GMT.

`import numpy as np import matplotlib.pyplot as plt # map range and grid size x_min, x_max = 90.4, 90.9 y_min, y_max = 20.3, 20.7 grid_size = 0.001 # grid of x and y coordinates x = np.arange(x_min, x_max, grid_size) y = np.arange(y_min, y_max, grid_size) X, Y = np.meshgrid(x, y) density_grid = np.zeros_like(X) # demo lines (start and end points) lines = [ [(90.42, 20.32), (90.45, 20.6)], [(90.48, 20.31), (90.69, 20.32)], [(90.47, 20.5), (90.89, 20.42)], [(90.41, 20.33), (90.45, 20.5)], [(90.43, 20.34), (90.47, 20.48)], ] # Iterate through each line and update density grid for line in lines: (x1, y1), (x2, y2) = line indices = np.where((x1 <= X) & (X <= x2) & (y1 <= Y) & (Y <= y2)) density_grid[indices] += 1 # Plotting the map, density grid, and lines fig, ax = plt.subplots() ax.scatter(X, Y, color='black', marker='.') mesh = ax.pcolormesh(X, Y, density_grid, cmap='hot', shading='auto') for line in lines: (x1, y1), (x2, y2) = line ax.plot([x1, x2], [y1, y2], color='blue') plt.colorbar(mesh, ax=ax) plt.show()`