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.

Este exercício faz parte do curso

Interactive Data Visualization with Bokeh

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Instruções do exercício

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.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# 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)

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