Box annotations for sales performance
The bakery has asked for one last plot from you. The visualization will display sales by date with two box annotations, so they can easily see which dates are under their revenue target of $250.
A figure, fig, with line glyphs, has been created using the code below:
sales = bakery.groupby("date", as_index=False)["sales"].sum()
source = ColumnDataSource(data=sales)
fig = figure(x_axis_label="Date", y_axis_label="Revenue ($)")
fig.line(x="date", y="sales", source=source)
fig.xaxis[0].formatter = DatetimeTickFormatter(months="%b %Y")
fig is preloaded for you. Your task is to create box annotations to show where sales in the bakery dataset are above or below $250.
This exercise is part of the course
Interactive Data Visualization with Bokeh
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create low_box
low_box = ____(____=____, ____=____, ____='____')
# Create high_box
high_box = ____(____=____, ____=____, ____='____')