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For the lack of better term, is there a way to annotate a data point with a graph? I include an example of what I am for below

Big black data point with a graph corresponding to it. Note that graph is rotated so its "x" axis (not shown) is perpendicular to the "y" axis of the scatter plot

annotation_box http://matplotlib.org/examples/pylab_examples/demo_annotation_box.html is the closest thing I can find at the moment, but even knowing the proper term for what I want to do, would make my life easier.

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If I understood the problem correctly, what you need are floating axes that you can place as annotations over your plot. Unfortunately, this is not easily possible in matplotlib, as far I know.

An easy solution would be to just plot the points and graphs in the same axis, with the graphs scaled down and shifted close to the points.

import numpy as np
import scipy.stats as sps
import matplotlib.pyplot as plt

xp = [5, 1, 3]
yp = [2, 1, 4]

# just generate some curves
curves_x = np.array([np.linspace(0, 10, 100)] * 3)
curves_y = sps.gamma.pdf(curves_x[0], [[2], [5], [7]], 1)

plt.scatter(xp, yp, s=50)

for x, y, cx, cy in zip(xp, yp, curves_x, curves_y):
    plt.plot(x + cy / np.max(cy) + 0.1 , y + cx / np.max(cx) - 0.5)

plt.show()

enter image description here

This is a very simplistic example. The numbers will have to be tuned to look nice with varying scale of the data.

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