Setting tools
The agency is now interested in understanding whether the most accurate shooters are more likely to average a higher amount of points per game. They would like to have the toolbar customized to include poly_select
, wheel_zoom
, reset
, and save
, so they can further investigate the plot themselves.
The nba
DataFrame is again available to you.
This exercise is part of the course
Interactive Data Visualization with Bokeh
Exercise instructions
- Create a list of required tools,
poly_select
,wheel_zoom
,reset
, andsave
. - Create a figure,
fig
, labeling the x and y axes as"Field Goal (%)"
and"Points per Game"
, along with setting thetools
to be included. - Add circle glyphs to represent
"field_goal_perc"
asx
and"points"
asy
. - Generate an HTML file called
"points_vs_field_goal_perc.html"
, and display the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a list of tools
tools = ____
# Create figure and set tools
fig = ____(x_axis_label="Field Goal (%)", y_axis_label="Points per Game", tools=____)
# Add circle glyphs
fig.____(____=____, ____=____)
# Generate HTML file and display plot
____
____(____)