Uk researchers¶

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UK research networks with HoloViews+Bokeh+Datashader¶

Datashader makes it possible to plot very large datasets in a web browser, while Bokeh makes those plots interactive, and HoloViews provides a convenient interface for building these plots. Here, let's use these three programs to visualize an example dataset of 600,000 collaborations between 15000 UK research institutions, previously laid out using a force-directed algorithm by Ian Calvert.

First, we'll import the packages we are using and set up some defaults.

In [1]:

import pandas as pd
import holoviews as hv
from holoviews import opts

from colorcet import fire
from datashader.bundling import directly_connect_edges, hammer_bundle

from holoviews.operation.datashader import datashade, dynspread
from holoviews.operation import decimate

from dask.distributed import Client
client = Client()

hv.notebook_extension('bokeh','matplotlib')

decimate.max_samples=20000
dynspread.threshold=0.01
datashade.cmap=fire[40:]
sz = dict(width=150,height=150)

opts.defaults(
    opts.RGB(width=400, height=400, xaxis=None, yaxis=None, show_grid=False, bgcolor="black"))