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Python Data Visualization with Bokeh Interactive Visualization Review: Bokeh Visualizations

The hover tool from HoverTools allows a user to "click, hold, and drag" on a section of a chart to view other sections o

Please help

1 Answer

Tom Nguyen
Tom Nguyen
33,500 Points

This isn't the answer but here are the other answers:

  1. When we want to visualize the same data across multiple charts and associate them together with the data values along the x-axis, which of the following is the correct syntax?
    • second_plot.x_range = first_plot.x_range third_plot.x_range = first_plot.x_range
  2. Drawing free-form objects on a chart can be useful. If we wanted to assign a single blue square to a plot object, which of the following would be the correct syntax?
    • plot.patch( [1,1,4,4], [1,4,4,1], color='blue');
  3. What can we import from bokeh.models to β€œconnect” specific colors to specific data groups?
    • CategoricalColorMaper
  4. When using as our data source and we want to access data items in a tool tip, we use the ______ special character.
    • @