A linked streams example demonstrating how to use the PolyDraw stream.
streams, linked, position, interactive
In [ ]:
import holoviews as hv
from holoviews import opts, streams


The PolyDraw stream adds a bokeh tool to the source plot, which allows drawing, dragging and deleting polygons and making the drawn data available to Python. The tool supports the following actions:

Add patch/multi-line

Double tap to add the first vertex, then use tap to add each subsequent vertex, to finalize the draw action double tap to insert the final vertex or press the ESC key to stop drawing.

Move patch/multi-line

Tap and drag an existing patch/multi-line, the point will be dropped once you let go of the mouse button.

Delete patch/multi-line

Tap a patch/multi-line to select it then press BACKSPACE key while the mouse is within the plot area.

As a simple example we will create simple Path and Polygons elements and attach each to a PolyDraw stream. We will also enable the drag option on the stream to enable dragging of existing glyphs. Additionally we can enable the show_vertices option which shows the vertices of the drawn polygons/lines and adds the ability to snap to them. Finally the num_objects option limits the number of lines/polygons that can be drawn by dropping the first glyph when the limit is exceeded.

In [ ]:
path = hv.Path([[(1, 5), (9, 5)]])
poly = hv.Polygons([[(2, 2), (5, 8), (8, 2)]])
path_stream = streams.PolyDraw(source=path, drag=True, show_vertices=True)
poly_stream = streams.PolyDraw(source=poly, drag=True, num_objects=2, show_vertices=True)

(path * poly).opts(
    opts.Path(color='red', height=400, line_width=5, width=400),
    opts.Polygons(fill_alpha=0.3, active_tools=['poly_draw']))

Whenever the data source is edited the data is synced with Python, both in the notebook and when deployed on the bokeh server. The data is made available as a dictionary of columns:

In [ ]:

Alternatively we can use the element property to get an Element containing the returned data:

In [ ]:
path_stream.element * poly_stream.element

Download this notebook from GitHub (right-click to download).