Create a heat map out of three 1D arrays-CodePudding

I want to create a heatmap out of 3 1dimensional arrays. Something that looks like this:

Up to this point, I was only able to create a scatter plot where the markers have a different color and marker size depending on the third value:

My code:

xf = np.random.rand(1000)
yf = np.random.rand(1000)
zf = 1e5*np.random.rand(1000)    
ms1 = (zf).astype('int')


from matplotlib.colors import LinearSegmentedColormap
# Remove the middle 40% of the RdBu_r colormap
interval = np.hstack([np.linspace(0, 0.4), np.linspace(0.6, 1)])
colors   = plt.cm.RdBu_r(interval)
cmap     = LinearSegmentedColormap.from_list('name', colors)
col      = cmap(np.linspace(0,1,len(ms1)))
#for i in range(len(ms1)):
plt.scatter(xf, yf, c=zf, s=5*ms1/1e4, cmap=cmap,alpha=0.8)#, norm =matplotlib.colors.LogNorm())
ax1 =plt.colorbar(pad=0.01)

is giving me this result:

Any idea how I could make it look like the first figure?

Essentially what I want to do is find the average of the z value for groups of the x and y arrays

CodePudding user response：

I think the functionality you are looking for is provided by