with mpl 3.3.2 the creation of the plot example 2 also takes ~ 83 seconds synthetic data: I started with a simple code I couldn't reproduce the problem with it I will probably need some time in the original code
Bulk soil samples were taken at 0–10 cm depth with an auger from around six locations inside each plot. For the rhizosheath sampling, 5–10 vigorous plants, depending on the size of the rooting sys- tem, were selected from each plot and dug out in a 25 × 25 × 10 ...
set_title("Random Heatmap with Increased Font Size") # Display the plot plt.show() We begin by importing the necessary libraries, including Seaborn, Matplotlib, and NumPy for generating a random dataset.Then, we create a random dataset using NumPy, simulating a 5x5 matrix of random values ...