Definitely! Just like @mark-mazay and @shilpa.chandel mentioned, to visualize an n-by-n NumPy array as a heatmap, I always use Matplotlib’s imshow() function. It colors each element based on its value, which is perfect for heatmaps. Here’s a little tweak that I use:
import matplotlib.pyplot as plt
plt.imshow(array, cmap='coolwarm', vmin=0, vmax=1)
plt.colorbar()
plt.title('2D Heatmap')
plt.show()
The addition of vmin and vmax is key here, as it ensures that your color scale is aligned with your specific data range. I find this step particularly useful when dealing with varying ranges in data, making sure the heatmap is consistent. So, it’s definitely a handy trick for any 2D array you want to visualize!