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The Data Visualization Workshop

You're reading from   The Data Visualization Workshop A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800568846
Length 536 pages
Edition 1st Edition
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Authors (2):
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Mario Döbler Mario Döbler
Author Profile Icon Mario Döbler
Mario Döbler
Tim Großmann Tim Großmann
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Tim Großmann
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Toc

6. Making Things Interactive with Bokeh

Activity 6.01: Plotting Mean Car Prices of Manufacturers

Solution:

  1. Create an Activity6.01.ipynb Jupyter notebook in the Chapter06/Activity6.01 folder.
  2. Import the necessary libraries:
    import pandas as pd
    from bokeh.io import output_notebook
    output_notebook()
  3. Load the automobiles.csv dataset from the Datasets folder:
    dataset = pd.read_csv('../../Datasets/automobiles.csv')
  4. Use the head method to print the first five rows of the dataset:
    dataset.head()

    The following figure shows the output of the preceding code:

Figure 6.36: Loading the top five rows of the automobile dataset

Plotting each car with its price

  1. Use the plotting interface of Bokeh to do some basic visualization first. Let's plot each car with its price. Import figure and show from the bokeh.plotting interface:
    from bokeh.plotting import figure, show
  2. First, use the index as our x-axis since we just want to plot each car with its price...
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