Creating plots with ColumnDataSource 

The ColumnDataSource provides us with a way to use the same data across multiple plots and widgets. By feeding data into the ColumnDataSource, you build a foundation of data that can be called upon whenever you please, instead of loading the data into your Jupyter Notebook multiple times. 

Fundamentally, the ColumnDataSource creates a dictionary in which the value is the data contained in the column and the key is a string name that you specify for that particular column. 

Creating a time series plot using the ColumnDataSource

In order to construct a time series plot using the ColumnDataSource, we use this code:

#Import the required packages

from bokeh.io import output_file, show
from bokeh.plotting import figure
from bokeh.plotting import ColumnDataSource

#Create the ColumnDataSource object

data = ColumnDataSource(df_apple)

#Create the time series plot

plot = figure(x_axis_type = 'datetime', x_axis_label = 'date', y_axis_label = 'High Prices')

plot...