Visualizing sales by period

Now you have created your factors, it is time to build a bar plot visualizing sales per month, grouped into quarters!

grouped_melb, a pandas DataFrame containing one row for each month, its respective quarter, and total sales for that month, has been preloaded for you. Additionally, factors, which is a list of tuples containing each quarter and month pair, has also been preloaded.

This exercise is part of the course

Interactive Data Visualization with Bokeh

View Course

Exercise instructions

Import NumeralTickFormatter and FactorRange.
Create the figure, using FactorRange() and factors for the x-axis, and labeling the y-axis as "Sales".
Add bar glyphs, setting x as factors, top as the "price" column of grouped_melb, and width as 0.9.
Rotate the x-axis labels to 45 degrees.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import NumeralTickFormatter and FactorRange
from ____.____ import ____, ____

# Create figure
fig = ____(x_range=____(____), ____="____")

# Create bar glyphs
____
fig.yaxis[0].formatter = NumeralTickFormatter(format="$0.0a")

# Rotate the x-axis labels
fig.____.____ = ____

output_file(filename="sales_by_period.html")
show(fig)

Edit and Run Code