Bokeh - get updated data when using Edit Tools - plot

Question

Recently, multi-gesture edit tools have been added to Bokeh. For example, using the script below, I can interactively draw points in a jupyter notebook using the PointDrawTool. My question is, how do I get the updated data for the points that I generate or edit into a numpy array or a similar data structure?
from bokeh.plotting import figure, output_file, show, Column
from bokeh.models import DataTable, TableColumn, PointDrawTool, ColumnDataSource
from bokeh.io import output_notebook
# Direct output to notebook
output_notebook()
p = figure(x_range=(0, 10), y_range=(0, 10), tools=[],
title='Point Draw Tool')
p.background_fill_color = 'lightgrey'
source = ColumnDataSource({
'x': [1, 5, 9], 'y': [1, 5, 9], 'color': ['red', 'green', 'yellow']
})
renderer = p.scatter(x='x', y='y', source=source, color='color', size=10)
columns = [TableColumn(field="x", title="x"),
TableColumn(field="y", title="y"),
TableColumn(field='color', title='color')]
table = DataTable(source=source, columns=columns, editable=True, height=200)
draw_tool = PointDrawTool(renderers=[renderer], empty_value='black')
p.add_tools(draw_tool)
p.toolbar.active_tap = draw_tool
handle = show(Column(p, table), notebook_handle=True)

Answer 1

Using such method of showing plot does not provide synchronization between Python and JS. To solve this you can use bookeh server, as described here. Usualy you use commnad:
bokeh serve --show myapp.py
Then you can embed this application in your jupyter. For me it was very inconvinient so I started to look for other solutions.
It is possible to run bookeh app from jupyter notebook, you can find example here.
Sample code for your problem would look like this:
from bokeh.plotting import figure, output_notebook, show, Column
from bokeh.models import DataTable, TableColumn, PointDrawTool, ColumnDataSource
output_notebook()
def modify_doc(doc):
p = figure(x_range=(0, 10), y_range=(0, 10), tools=[],
title='Point Draw Tool')
p.background_fill_color = 'lightgrey'
source = ColumnDataSource({
'x': [1, 5, 9], 'y': [1, 5, 9], 'color': ['red', 'green', 'yellow']
})
renderer = p.scatter(x='x', y='y', source=source, color='color', size=10)
columns = [TableColumn(field="x", title="x"),
TableColumn(field="y", title="y"),
TableColumn(field='color', title='color')]
table = DataTable(source=source, columns=columns, editable=True, height=200)
draw_tool = PointDrawTool(renderers=[renderer], empty_value='black')
p.add_tools(draw_tool)
p.toolbar.active_tap = draw_tool
doc.add_root(Column(p, table))
show(modify_doc)