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Mastering pandas. - Second Edition

You're reading from  Mastering pandas. - Second Edition

Product type Book
Published in Oct 2019
Publisher
ISBN-13 9781789343236
Pages 674 pages
Edition 2nd Edition
Languages
Author (1):
Ashish Kumar Ashish Kumar
Profile icon Ashish Kumar

Table of Contents (21) Chapters

Preface Section 1: Overview of Data Analysis and pandas
Introduction to pandas and Data Analysis Installation of pandas and Supporting Software Section 2: Data Structures and I/O in pandas
Using NumPy and Data Structures with pandas I/Os of Different Data Formats with pandas Section 3: Mastering Different Data Operations in pandas
Indexing and Selecting in pandas Grouping, Merging, and Reshaping Data in pandas Special Data Operations in pandas Time Series and Plotting Using Matplotlib Section 4: Going a Step Beyond with pandas
Making Powerful Reports In Jupyter Using pandas A Tour of Statistics with pandas and NumPy A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates Data Case Studies Using pandas The pandas Library Architecture pandas Compared with Other Tools A Brief Tour of Machine Learning Other Books You May Enjoy

CSV and TXT

CSV stands for comma-separated values, which means that the comma is the default delimiter for these files. However, they accept other delimiters as well.

CSVs are made of columns and rows and the cell value is arranged in a tabular format. They can come with or without column names and row indices. The primary reasons for a CSV file's existence include manually gathered data, data that's been extracted and downloaded from a database, a direct download from a tool or website, web scraping, and the result of running a data science algorithm.

Reading CSV and TXT files

read_csv is the go-to method for reading CSV files in pandas. It can also be used to read txt files. The syntax of using read_csv is shown...

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