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.
Heat map and visualization
visualization
I believe that the simplest is to use Seaborn. Check out the example below:import numpy as npimport 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