Pandas 1.x Cookbook
Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python
Publisher:Packt Publishing Limited
By: Matt Harrison and Theodore Petrou
Paid access
|Mar 2020
Table of Contents
- Pandas Foundations
- Essential DataFrame Operations
- Creating and Persisting DataFrames
- Beginning Data Analysis
- Exploratory Data Analysis
- Selecting Subsets of Data
- Filtering Rows
- Index Alignment
- Grouping for Aggregation, Filtration and Transformation
- Restructuring Data into a Tidy Form
- Combining Pandas Objects
- Time Series Analysis
- Visualization with Matplotlib, Pandas, and Seaborn
- Debugging and Testing Pandas
PDF ISBN: 978-1-83921-891-0
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 626
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