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Data Literacy With Python

You're reading from   Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

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Product type Paperback
Published in Jul 2024
Publisher Mercury_Learning
ISBN-13 9781836640097
Length 271 pages
Edition 1st Edition
Languages
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
Author Profile Icon Oswald Campesato
Oswald Campesato
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Toc

Table of Contents (9) Chapters Close

Preface
1. Chapter 1: Working With Data 2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER 3. Chapter 3: Cleaning Datasets 4. Chapter 4: Introduction to Statistics 5. Chapter 5: Matplotlib and Seaborn 6. Index
Appendix A: Introduction to Python 1. Appendix B: Introduction to Pandas

READING CSV FILES IN PANDAS

Pandas provides the read_csv() method for reading the contents of CSV files. For example, Listing B.6 shows the contents of sometext.csv that contain labeled data (spam or ham), and Listing B.7 shows the contents of read_csv_file.py that illustrates how to read the contents of a CSV file.

Listing B.6: sometext.csv

type    text
ham     Available only for today
ham     I'm joking with you
spam    Free entry in 2 a wkly comp
ham     U dun say so early hor
ham     I don't think he goes to usf
spam    FreeMsg Hey there
ham     my brother is not sick
ham     As per your request Melle
spam    WINNER!! As a valued customer

Listing B.7: read_csv_file.py

import pandas as pd
import numpy as np

df = pd.read_csv('sometext.csv', delimiter='\t')
print("=> First five rows:")
print(df.head(5))

Listing B.7 reads the contents of sometext.csv, and the columns are separated by a tab (“\t”) delimiter. Launch the code in...

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