import random
import pandas as pd
import bokeh.plotting as bk

fruits = ["orange", "plum", "lime"]
data = [(random.choice(fruits), random.randint(0,100), random.randint(0,100)) for i in range(16)]
dframe = pd.DataFrame(data, columns=["fruit", "x", "y"])
dframe

source = bk.ColumnDataSource(dframe)

bk.output_notebook()

p = bk.figure(title="Fruity",
              tools="pan,wheel_zoom,box_zoom,reset,resize,hover")

p.circle(x='x', y='y', color='fruit', size=8, source=source)

by_fruit = dframe.groupby('fruit')

def update(fruit):
    grouped = by_fruit.get_group(fruit)
    # Going through and re-assigning to every column of source.data works,
    # but it gets verbose and repetitive as the number of source columns grows.
    # Is there a more elegant way to do this?
    source.data['x'] = grouped['x']
    source.data['y'] = grouped['y']
    source.data['fruit'] = grouped['fruit']
    source.push_notebook()

bk.show(p)

from IPython.html.widgets import interact
interact(update, fruit=fruits)