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The Pandas Workshop

You're reading from  The Pandas Workshop

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781800208933
Pages 744 pages
Edition 1st Edition
Languages
Authors (4):
Blaine Bateman Blaine Bateman
Profile icon Blaine Bateman
Saikat Basak Saikat Basak
Profile icon Saikat Basak
Thomas V. Joseph Thomas V. Joseph
Profile icon Thomas V. Joseph
William So William So
Profile icon William So
View More author details

Table of Contents (21) Chapters

Preface Part 1 – Introduction to pandas
Chapter 1: Introduction to pandas Chapter 2: Working with Data Structures Chapter 3: Data I/O Chapter 4: Pandas Data Types Part 2 – Working with Data
Chapter 5: Data Selection – DataFrames Chapter 6: Data Selection – Series Chapter 7: Data Exploration and Transformation Chapter 8: Understanding Data Visualization Part 3 – Data Modeling
Chapter 9: Data Modeling – Preprocessing Chapter 10: Data Modeling – Modeling Basics Chapter 11: Data Modeling – Regression Modeling Part 4 – Additional Use Cases for pandas
Chapter 12: Using Time in pandas Chapter 13: Exploring Time Series Chapter 14: Applying pandas Data Processing for Case Studies Chapter 15: Appendix Other Books You May Enjoy

Solution 5.1

Perform the following steps to complete the activity:

  1. For this activity, all you will need is the pandas library. Load it in the first cell of the notebook:
    import pandas as pd
  2. Read in the mushroom.csv data from the Datasets directory and list the first five rows using .head():
    mushroom = pd.read_csv('../Datasets/mushroom.csv')
    mushroom.head()

This produces the following output:

Figure 15.14 – The mushroom data

Note

Please change the path of the dataset file (highlighted) based on where you have downloaded it on your system.

  1. You see the class column and many visible attributes. List out all the columns to see what else there is to work with:
    mushroom.columns

This produces the following output:

Figure 15.15 – The columns of the mushroom DataFrame

  1. In addition to class, you see population and habitat, which are not visible attributes. You decide to create a multi...
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