["python","matplotlib","seaborn","heatmap"]
Plotting a 2D heatmap

Using Matplotlib, I want to plot a 2D heat map. My data is an n-by-n Numpy array, each with a value between 0 and 1. So for the (i, j) element of this array, I want to plot a square at the (i, j) coordinate in my heat map, whose color is proportional to the element's value in the array. How can I do this?
The imshow() function with parameters interpolation='nearest' and cmap='hot' should do what you want. Please review the interpolation parameter details, and see Interpolations for imshow and Image antialiasing. import matplotlib.pyplot as plt import numpy as np a = np.random.random((16, 16)) plt.imshow(a, cmap='hot', interpolation='nearest') plt.show()