How to generate a MatPlotLib heat map in Python

A heat map is a tool for visualizing data where color is used to represent values in a set. The colors range from cold to warm, with warmer colors representing more densely clustered values.

Solution for How to generate a MatPlotLib heat map in Python : You can use numpy.histogram2d() to generate a MatPlotLib heat map Begin by calling numpy.histogram2d(x, y, bins=n) to compute the bi-dimensional histogram of samples x and y plotted over n bins per dimension (n squared bins in total), and the bin edges along both dimensions. With the histogram and bin edges from the previous function saved as heatmap, xedges, and yedges respectively, use the syntax extent = [xedges[0], xedges[-1], yedges[0], yedges[-1]] to get the window dimensions that will be used to create the heat map. Finally, call matplotlib.pyplot.imshow(heatmap.T, extent=extent, origin=”lower”) to plot the heat map.