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.

Bu egzersiz, kursun bir parçasıdır

Interactive Data Visualization with Bokeh

Kursa Göz Atın

Egzersiz talimatları

Create start_data by subsetting netflix for the row where "date" equals start_date.
Repeat for end_data to get the close value from end_date.
Create polygon, fill in "green", with 0.4 transparency, and finish the xs and ys arguments.
Add polygon to the figure's layout.

Uygulamalı etkileşimli egzersiz

Bu egzersizi bu örnek kodu tamamlayarak deneyin.

# 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)

Kodu Düzenle ve Çalıştır