Annotating Netflix stock price growth
As a reminder, you previously created dates and timestamps, displayed below:
start_date = dt.datetime(2017, 6, 30)
end_date = dt.datetime(2017, 7, 27)
start_float = start_date.timestamp() * 1000
end_float = end_date.timestamp() * 1000
The final steps to display the Netflix line plot with a polygon annotation are to subset the data for the stock price, call PolyAnnotation()
, and add the annotation to the figure's layout.
This exercise is part of the course
Interactive Data Visualization with Bokeh
Exercise instructions
- Create
start_data
by subsettingnetflix
for the row where"date"
equalsstart_date
. - Repeat for
end_data
to get the close value fromend_date
. - Create
polygon
, fill in"green"
, with0.4
transparency, and finish thexs
andys
arguments. - Add
polygon
to the figure's layout.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create start and end data
start_data = netflix.loc[netflix["____"] == ____]["close"].values[0]
end_data = ____.____[____["____"] == ____]["close"].values[0]
# Create polygon annotation
polygon = PolyAnnotation(fill_color="____", fill_alpha=____,
xs=[start_float, ____, end_float, ____],
ys=[start_data - 10, ____ + 10, end_data + 15, ____ - 15])
# Add polygon to figure and display
fig.____(____)
output_file(filename="netflix_annotated.html")
show(fig)