Thinking in Pandas - eva.interior.udelar.edu.uy
Thinking in Pandas
How to Use the Python Data Analysis Library the Right Way -- Hannah Stepanek
Thinking in Pandas
How to Use the Python Data Analysis Library the Right Way
Hannah Stepanek
Thinking in Pandas
Hannah Stepanek Portland, OR, USA
ISBN-13 (pbk): 978-1-4842-5838-5
ISBN-13 (electronic): 978-1-4842-5839-2
Copyright ? 2020 by Hannah Stepanek
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.
Managing Director, Apress Media LLC: Welmoed Spahr Acquisitions Editor: Celestin Suresh John Development Editor: Rita Fernando Coordinating Editor: Aditee Mirashi
Cover designed by eStudioCalamar Cover image designed by Pixabay
Distributed to the book trade worldwide by Springer Science+Business Media New York, 233 Spring Street, 6th Floor, New York, NY 10013. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-, or visit . Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.
For information on translations, please e-mail rights@, or visit rights-permissions.
Apress titles may be purchased in bulk for academic, corporate, or promotional use. eBook versions and licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales web page at .
Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the book's product page, located at 978-1-4842-5838-5. For more detailed information, please visit source-code.
Printed on acid-free paper
Table of Contents
About the Authorvii About the Technical Reviewerix Introductionxi
Chapter 1: Introduction1 About pandas1 How pandas helped build an image of a black hole4 How pandas helps financial institutions make more informed predictions about the future market6 How pandas helps improve discoverability of content6
Chapter 2: Basic Data Access and Merging9 DataFrame creation and access9 The iloc method11 The loc method14 Combining DataFrames using the merge method17 Combining DataFrames using the join method25 Combining DataFrames using the concat method27
Chapter 3: How pandas Works Under the Hood31 Python data structures32 The performance of the CPython interpreter, Python, and NumPy37
iii
Table of Contents An introduction to pandas performance49 Choosing the right DataFrame55
Chapter 4: Loading and Normalizing Data65 pd.read_csv 67 pd.read_json 92 pd.read_sql, pd.read_sql_table, and pd.read_sql_query101
Chapter 5: Basic Data Transformation in pandas109 Pivot and pivot table109 Stack and unstack113 Melt 116 Transpose 117
Chapter 6: The apply Method121 When not to use apply121 When to use apply128 Improving performance of apply using Cython131
Chapter 7: Groupby135 Using groupby correctly135 Indexing 137 Avoiding groupby139
Chapter 8: Performance Improvements Beyond pandas141 Computer architecture141 How NumExpr improves performance146 BLAS and LAPACK150
iv
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- thinking in pandas
- python programming pandas
- pandas dataframe notes university of idaho
- python transpose matrix zip
- references for getting better once you know the basics cup
- mon lycée numérique
- Міністерство освіти і науки молоді та спорту України
- mca academic regulation 2018
- front page statistical science
- mỞ ĐẦu vn
Related searches
- strategic thinking in the workplace
- dataframe in pandas python
- where clause in pandas dataframe
- select columns in pandas dataframe
- unique values in pandas dataframe
- change value of cell in pandas dataframe
- sort rows in pandas dataframe
- sort in pandas dataframe
- data types in pandas dataframe
- critical thinking in education articles
- thinking in english
- apply operation in pandas rows