Harrison / Petrou Pandas 1.x Cookbook

Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python
2. Auflage 2020
ISBN: 978-1-83921-891-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 626 Seiten

No detailed description available for "Pandas 1.x Cookbook".

Autoren/Hrsg.

Harrison, Matt

Petrou, Theodore

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

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

Über Autor(innen)

Harrison Matt:
Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.Petrou Theodore:
Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.