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Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installation and Setting up the Environment 2. Adding an Engine FREE CHAPTER 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs

Reading flat files

In contrast to the CSV files seen earlier, a flat file does not contain any separator between the fields. Since there is no separator, all records in a flat file are usually of the same length, as the length of columns is the only way of separating data. Prior to the advent of spreadsheet programs, it was a common practice to use only flat files. Flat files are still used according to the preference of the authors.

Getting ready

In this example, we will be using Python to read in a flat file. The pandas library of routines includes a function to read flat files, read_fwf. Your Python script passes in the column widths and names to read_fwf, and the function returns a DataFrame.

Of course, now that I am looking...

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