Given a set of points (x, y, 'heat'),
In [15]: df.head()
Out[15]:
x y heat
0 0.660055 0.395942 2.368304
1 0.126268 0.187978 6.760261
2 0.174857 0.637188 1.025078
3 0.460085 0.759171 2.635334
4 0.689242 0.173868 4.845778
How to generate a heat map matrix and delimit heat regions (hard)?
in such a way that, given a point, it is possible to get all points within the same region.
PS:
From Generate a heatmap in MatPlotLib using a scatter data set, I know how to generate graphs of regions, but not how to generate the region 'matrix' (so that given a property, it says in which region it is).
I guess it depend how you did the heatmap but assuming you used the first example from the post you linked:
import numpy as np
import numpy.random
import matplotlib.pyplot as plt
# Generate some test data
x = np.random.randn(8873)
y = np.random.randn(8873)
heatmap, xedges, yedges = np.histogram2d(x, y, bins=50)
extent = [xedges[0], xedges[-1], yedges[0], yedges[-1]]
plt.clf()
plt.imshow(heatmap, extent=extent)
plt.show()
So you now if you have a request about a point with coords (a,b) you need to find the position of the nearest value to a in xedges (lets call it a_heatmap), the position of the nearest value of b in yedges (b_heatmap), then look for the returned value by :
heatmap[a_heatmap, b_heatmap]
