Using GroupFilter and CDSView
This video expands on Bokeh’s ColumnDataSource object, by exploring GroupFilter and CDSView. These features of the ColumnDataSource allow you to filter your data and make multiple views of a single ColumnDataSource. Allowing you to do much of your data wrangling using Bokeh’s own tools.
File: WestConfTop2.py
# Bokeh libraries
from bokeh.io import output_file
from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource, CDSView, GroupFilter
# Import the data
from read_nba_data import west_top_2
# Output to static HTML file
output_file('west_top_2_standings_race.html',
title='Western Conference Top 2 Teams Wins Race')
# Create a ColumnDataSource
west_cds = ColumnDataSource(west_top_2)
# Create view for each team
rockets_view = CDSView(source=west_cds,
filters=[GroupFilter(column_name='teamAbbr', group='HOU')])
warriors_view = CDSView(source=west_cds,
filters=[GroupFilter(column_name='teamAbbr', group='GS')])
# Create and configure the figure
west_fig = figure(x_axis_type='datetime',
plot_height=300, plot_width=600,
title='Western Conference Top 2 Teams Wins Race, 2017-18',
x_axis_label='Date', y_axis_label='Wins',
toolbar_location=None)
# Render the race as step lines
west_fig.step('stDate', 'gameWon',
source=west_cds, view=rockets_view,
color='#CE1141', legend='Rockets')
west_fig.step('stDate', 'gameWon',
source=west_cds, view=warriors_view,
color='#006BB6', legend='Warriors')
# Move the legend to the upper left corner
west_fig.legend.location = 'top_left'
# Show the plot
show(west_fig)