Hands-On Data Analysis with NumPy and Pandas : Implement Python Packages from Data Manipulation to Processing /

Chapter 3: Operations on NumPy Arrays; Selecting elements explicitly; Slicing arrays with colons; Advanced indexing; Expanding arrays; Arithmetic and linear algebra with arrays; Arithmetic with two equal-shaped arrays; Broadcasting; Linear algebra; Employing array methods and functions; Array method...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Miller, Curtis
Format: Electronic eBook
Language:English
Published: Birmingham : Packt Publishing Ltd, 2018
Subjects:
Local Note:ProQuest Ebook Central
Description
Summary:Chapter 3: Operations on NumPy Arrays; Selecting elements explicitly; Slicing arrays with colons; Advanced indexing; Expanding arrays; Arithmetic and linear algebra with arrays; Arithmetic with two equal-shaped arrays; Broadcasting; Linear algebra; Employing array methods and functions; Array methods; Vectorization with ufuncs; Custom ufuncs; Summary; Chapter 4: pandas are Fun! What is pandas?; What does pandas do?; Exploring series and DataFrame objects; Creating series; Creating DataFrames; Adding data; Saving DataFrames; Subsetting your data; Subsetting a series; Indexing methods.
In this book, you will explore two important Python packages used by Data Analysts, NumPy & pandas. You will dive into different concepts such as reading, sorting, grouping of data, and also learn how to work with different data formats for your data analysis projects.
Physical Description:1 online resource (166 pages)
ISBN:9781789534245
1789534240
1789530792
9781789530797
Source of Description, Etc. Note:Print version record.