import numpy as np
import holoviews as hv
import pandas as pd
from holoviews import opts, dim
hv.extension('bokeh')

np.random.seed(12)
coords = np.random.rand(50,2)
points = hv.Points(coords)

points.opts(color='k', marker='+', size=10)

(points + points[0.6:0.8,0.2:0.5]).opts(
   opts.Points(color='k', marker='+', size=10))

np.random.seed(10)
data = np.random.rand(100,4)
popts = opts.Points(color='z', size=dim('size')*20)

points = hv.Points(data, vdims=['z', 'size'])
(points + points[0.3:0.7, 0.3:0.7].hist()).opts(popts)

pts = points[0.3:0.7, 0.3:0.5].data
pts

copts = opts.Points(color='z', size=dim('size')*20, width=250, height=250)

xs     = [0.44183317, 0.37764192, 0.30021061, 0.54346504, 0.38412185]
ys     = [0.43401399, 0.42874733, 0.39644188, 0.33775465, 0.39611779]
colors = [0.61776698, 0.51120865, 0.79327323, 0.89802431, 0.89727994]
sizes  = [0.51313824, 0.89176257, 0.41227608, 0.94070704, 0.05882237]

dictionary = dict(x=xs, y=ys, z=colors, size=sizes)
df = pd.DataFrame(dictionary)
array = np.stack([xs,ys,colors,sizes]).T

(hv.Points(df) +
 hv.Points(dictionary, vdims=['z', 'size']) +
 hv.Points(array, vdims=['z', 'size'])).opts(copts)