Heat map and visualization I want to create a heat map to visualize some production data, but without geolocation. I am finishing some experiments in a greenhouse, divided in different sectors. The idea is to make a heat map to watch in which areas we are harvesting more fruits, or less, in each season.

Which tool, software or language do you think is better for this purpose? I was looking for information, but the main tools are for geolocation.
I believe that the simplest is to use Seaborn. Check out the example below:

import numpy as np
import seaborn as sns 

sns.set()
np.random.seed(0)

uniform_data = np.random.rand(10, 12)
ax = sns.heatmap(uniform_data)


And the output looks as follows:



This is taken from the seaborn documentation