Label Areas in Python Matplotlib stackplot
I would like to generate labels inside matplotlib stackplot areas. I would settle for labeling the string used to bind the scope. Let's consider an example:
import numpy as np
from matplotlib import pyplot as plt
fnx = lambda : np.random.randint(5, 50, 10)
x = np.arange(10)
y1, y2, y3 = fnx(), fnx(), fnx()
areaLabels=['area1','area2','area3']
fig, ax = plt.subplots()
ax.stackplot(x, y1, y2, y3)
plt.show()
This gives: 
But I would like to create something like this:
Matplotlib contour plots have this type of labeling functionality (although lines are denoted in the case of an outline).
Any help (or even a mail redirection that I may have missed) is appreciated.
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1 answer
Ah, heuristic. Something like that?:
import numpy as np from matplotlib import pyplot as plt length = 10 fnx = lambda : np.random.randint(5, 50, length) x = np.arange(length) y1, y2, y3 = fnx(), fnx(), fnx() areaLabels=['area1','area2','area3'] fig, ax = plt.subplots() ax.stackplot(x, y1, y2, y3) loc = y1.argmax() ax.text(loc, y1[loc]*0.25, areaLabels[0]) loc = y2.argmax() ax.text(loc, y1[loc] + y2[loc]*0.33, areaLabels[1]) loc = y3.argmax() ax.text(loc, y1[loc] + y2[loc] + y3[loc]*0.75, areaLabels[2]) plt.show()
which in test passes is good:
Finding the best loc
can be more attractive - perhaps the one x_n, x_(n+1)
with the highest average required .
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