Python: How to get data from linked brushes in mlpd3, Bokeh, Plotly?

Using the code below I can get a 2x2 graph with 4 plots. With brushes, I can select some data points. The question I have is how do get the selected data points as a JSON array or cvs. This code uses mlpd3, but bokeh can do similar selections with brushes.. But there is no example of selecting the data points. I am trying to get selected data as object to continue processing with python. It would be nice to see the data in a cell.

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mat
import mpld3

mpld3.enable_notebook()


from mpld3 import plugins

fig, ax = plt.subplots(2, 2, figsize=(10, 8))
fig.subplots_adjust(hspace=0.1, wspace=0.1)
ax = ax[::-1]

X = np.random.normal(size=(2, 100))
for i in range(2):
    for j in range(2):
        ax[i, j].xaxis.set_major_formatter(plt.NullFormatter())
        ax[i, j].yaxis.set_major_formatter(plt.NullFormatter())
        points = ax[i, j].scatter(X[j], X[i])

plugins.connect(fig, plugins.LinkedBrush(points))

Bokeh has similar behavior in CustomJS for Selections

http://docs.bokeh.org/en/latest/docs/user_guide/interaction/callbacks.html#userguide-interaction-jscallbacks-customjs-interactions

Whichever one is easier to extract the selected item -- would work.. If there is a Plotly solution, that would also work.

This is outside of ipython but you can run flask or django in conjunction with d3.js and jquery to get the data back into python.