Basic Plotting

As mentioned before, the plotting interface of Bokeh gives us a higher-level abstraction, which allows us to quickly visualize data points on a grid.

To create a new plot, we have to define our imports to load the necessary dependencies:

# importing the necessary dependencies
import pandas as pd
from bokeh.plotting import figure, show
from bokeh.io import output_notebook
output_notebook()

Before we can create a plot, we need to import the dataset. In the examples in this chapter, we will work with a computer hardware dataset. It can be imported by using pandas' read_csv method.

# loading the Dataset with pandas
dataset = pd.read_csv('../../Datasets/computer_hardware.csv')

The basic flow when using the plotting interface is comparable to that of Matplotlib. We first create a figure. This figure is then used as a container to define elements and call methods on:

# adding an index column to use it for the x-axis
dataset['index&apos...