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Pandas Cookbook

You're reading from   Pandas Cookbook Practical recipes for scientific computing, time series, and exploratory data analysis using Python

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781836205876
Length 404 pages
Edition 3rd Edition
Languages
Tools
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Authors (2):
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William Ayd William Ayd
Author Profile Icon William Ayd
William Ayd
Matthew Harrison Matthew Harrison
Author Profile Icon Matthew Harrison
Matthew Harrison
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Toc

Table of Contents (13) Chapters Close

Preface 1. pandas Foundations FREE CHAPTER 2. Selection and Assignment 3. Data Types 4. The pandas I/O System 5. Algorithms and How to Apply Them 6. Visualization 7. Reshaping DataFrames 8. Group By 9. Temporal Data Types and Algorithms 10. General Usage and Performance Tips 11. The pandas Ecosystem 12. Index

CSV – basic reading/writing

CSV, which stands for comma-separated values, is one of the most common formats for data exchange. While there is no official standard that defines what a CSV file is, most developers and users would loosely consider it to be a plain text file, where each line in the file represents a row of data, and within each row, there are delimiters between each field to indicate when one record ends and the next begins. The most commonly used delimiter is a comma (hence the name comma-separated values), but this is not a hard requirement; it is not uncommon to see CSV files that use a pipe (|), tilde (~), or backtick (`) character as the delimiter. If the delimiter character is expected to appear within a given record, usually some type of quoting surrounds the individual record (or all records) to allow a proper interpretation.

For example, let’s assume a CSV file uses a pipe separator with the following contents:

column1|column2
a|b|c
...
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