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GridPlot Layout

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In this video you will explore Bokeh’s gridplot layout. Instead of using column or row you may want to use gridplot instead. One key difference of gridplot is that it will automatically consolidate the toolbar across all of its children figures.

Check out Bokeh’s User Guide for more information on layouts.


# Bokeh libraries
from import output_file
from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource, CDSView, GroupFilter
from bokeh.layouts import gridplot

# Import the data
from read_nba_data import standings

# Output to static HTML file
            title='Conference Top 2 Teams Wins Race')

# Create a ColumnDataSource
standings_cds = ColumnDataSource(standings)

# Create view for each team
celtics_view = CDSView(source=standings_cds,
                       filters=[GroupFilter(column_name='teamAbbr', group='BOS')])
raptors_view = CDSView(source=standings_cds,
                        filters=[GroupFilter(column_name='teamAbbr', group='TOR')])
rockets_view = CDSView(source=standings_cds,
                        filters=[GroupFilter(column_name='teamAbbr', group='HOU')])
warriors_view = CDSView(source=standings_cds,
                        filters=[GroupFilter(column_name='teamAbbr', group='GS')])

# Create and configure the figure
east_fig = figure(x_axis_type='datetime',

west_fig = figure(x_axis_type='datetime',

# Reduce the width of both figures
east_fig.plot_width = west_fig.plot_width = 300

# Edit the titles
east_fig.title.text = 'Eastern Conference'
west_fig.title.text = 'Western Conference'

# Render the race as step lines
east_fig.step('stDate', 'gameWon',
              source=standings_cds, view=celtics_view,
              color='#007A33', legend='Celtics')
east_fig.step('stDate', 'gameWon',
              source=standings_cds, view=raptors_view,
              color='#CE1141', legend='Raptors')
west_fig.step('stDate', 'gameWon',
              source=standings_cds, view=rockets_view,
              color='#CE1141', legend='Rockets')
west_fig.step('stDate', 'gameWon',
              source=standings_cds, view=warriors_view,
              color='#006BB6', legend='Warriors')

# Move the legend to the upper left corner
east_fig.legend.location = 'top_left'
west_fig.legend.location = 'top_left'

# Configure the gridplot
east_west_gridplot = gridplot([[west_fig, east_fig]],

# Plot the two visualizations in a horizontal configuration

Pygator on Aug. 18, 2019

How come in the filters kwarg you have to put everything in [ ] first. and how come we need [ [ ] ] for gridplot? Seems like code redundancy.

Chris Bailey RP Team on Aug. 19, 2019

Hi Pygator, The Filter method is expecting a list, even though you are giving it a list with a single item. If you were to remove the [ ] you will raise a ValueError exception ValueError: expected an element of List(Instance(Filter)) Link to Filter in the bokeh documentation

The gridplot is expecting a nested list to indicate the positions for your plots. The first example is only using the first row, with both plots as a list nested together. Link to layouts in bokeh docs

Pygator on Aug. 19, 2019

Thanks for the help with that notation. I guess it makes more sense if you think about applying multiple filters with the list.

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