Hi,
I am using matplotlib to create scatterplot where the colour depends on
the y-value. Additionally I want to project the y-values onto a rotated
histogram along the right side of the scatterplot.
My problem is that with my current code, the colours used for the
histogram are normalised to the range of actual y-values. These don't
match the colours in the scatterplot, which are based on the absolute
y-value in the range 0-100.
Can anyone tell me what I am doing wrong (code below)?
Cheers,
Loris
import matplotlib.pyplot as plt
import numpy as np
efficiencies = [69, 48, 21, 28, 28, 26, 28]
core_hours = [3, 8, 10, 13, 14, 18, 20]
figure, axis = plt.subplots(ncols=2, nrows=1, sharey=True,
gridspec_kw={'width_ratios': [10, 1]})
cm = plt.cm.RdYlGn
n_bins = 10
colours = plt.get_cmap(cm)(np.linspace(0, 1, n_bins))
axis[0].scatter(core_hours, efficiencies, c=efficiencies,
cmap=cm, vmin=0, vmax=100)
axis[0].set_xlabel("core-hours")
axis[0].set_ylabel("CPU efficiency [%]")
axis[0].set_ylim(ymin=-5, ymax=105)
n, bins, patches = axis[1].hist(efficiencies, n_bins,
histtype='bar', orientation='horizontal')
for patch, colour in zip(patches, colours):
patch.set_facecolor(colour)
axis[1].set_xlabel("jobs")
plt.tight_layout()
plt.show()
plt.close()
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