Interactive visualization

There is a Python package, Bokeh, that can be used to generate a figure in your notebook where the user can interact and change the figure.

In this example, I am using the same data from the histogram example later in this chapter (also included in the file set for this chapter) to display an interactive Bokeh histogram.

The coding is as follows:

from bokeh.io import show, output_notebook
from bokeh.charts import Histogram
import numpy as np
import pandas as pd
# this step is necessary to have display inline in a notebook
output_notebook()
# load the counts from other histogram example
from_counts = np.load("from_counts.npy")
# convert array to a dataframe for Histogram
df = pd.DataFrame({'Votes':from_counts})
# make sure dataframe is working correctly
print(df.head())
   Votes
0     23
1     29
2     23
3    302
4     24
# display the Bokeh histogram
hist = Histogram(from_counts, \
title="How Many Votes Made By Users", \
bins=12)
show(hist) 

We can see the histogram...