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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.

Bu egzersiz, kursun bir parçasıdır

Interactive Data Visualization with Bokeh

Kursa Göz Atın

Egzersiz talimatları

  • Create a list of required tools, poly_select, wheel_zoom, reset, and save.
  • Create a figure, fig, labeling the x and y axes as "Field Goal (%)" and "Points per Game", along with setting the tools to be included.
  • Add circle glyphs to represent "field_goal_perc" as x and "points" as y.
  • Generate an HTML file called "points_vs_field_goal_perc.html", and display the plot.

Uygulamalı etkileşimli egzersiz

Bu egzersizi bu örnek kodu tamamlayarak deneyin.

# 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
____
____(____)
Kodu Düzenle ve Çalıştır