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You're reading from  Hands-On Data Visualization with Bokeh

Product typeBook
Published inJun 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789135404
Edition1st Edition
Languages
Python
Tools
Bokeh
Concepts
Data Visualization
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Author (1)
Kevin Jolly
Kevin Jolly
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Kevin Jolly

Kevin Jolly is a formally educated data scientist with a master's degree in data science from the prestigious King's College London. Kevin works as a statistical analyst with a digital healthcare start-up, Connido Limited, in London, where he is primarily involved in leading the data science projects that the company undertakes. He has built machine learning pipelines for small and big data, with a focus on scaling such pipelines into production for the products that the company has built. Kevin is also the author of a book titled Hands-On Data Visualization with Bokeh, published by Packt. He is the editor-in-chief of Linear, a weekly online publication on data science software and products.
Read more about Kevin Jolly

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Creating plots using pandas DataFrames

Most of the data that you will work with will be available in the CSV or Excel formats and thus you will inevitably convert them into a pandas DataFrame in order to work with them effectively. Bokeh extends its functionality to help us build interactive yet meaningful plots using a pandas DataFrame in Python. In this section, we will construct scatter plots and time series plots using a pandas DataFrame.

For this section, we will be using a popular dataset about the stock market found on Kaggle that can be accessed via this link: Kaggle S&P 500 stock data (https://www.kaggle.com/camnugent/sandp500/data).

As a first step, let's load the dataset into Jupyter Notebook. We can do this using the code shown here:

#Importing the required packages

import pandas as pd

#Read in the data

df = pd.read_csv('all_stocks_5yr.csv')

#Filtering...
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Hands-On Data Visualization with Bokeh
Published in: Jun 2018Publisher: PacktISBN-13: 9781789135404
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Kevin Jolly

Kevin Jolly is a formally educated data scientist with a master's degree in data science from the prestigious King's College London. Kevin works as a statistical analyst with a digital healthcare start-up, Connido Limited, in London, where he is primarily involved in leading the data science projects that the company undertakes. He has built machine learning pipelines for small and big data, with a focus on scaling such pipelines into production for the products that the company has built. Kevin is also the author of a book titled Hands-On Data Visualization with Bokeh, published by Packt. He is the editor-in-chief of Linear, a weekly online publication on data science software and products.
Read more about Kevin Jolly

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