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Pandas 1.x Cookbook

You're reading from   Pandas 1.x Cookbook Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781839213106
Length 626 pages
Edition 2nd Edition
Languages
Tools
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Authors (2):
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Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
Matthew Harrison Matthew Harrison
Author Profile Icon Matthew Harrison
Matthew Harrison
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Toc

Table of Contents (17) Chapters Close

Preface 1. Pandas Foundations 2. Essential DataFrame Operations FREE CHAPTER 3. Creating and Persisting DataFrames 4. Beginning Data Analysis 5. Exploratory Data Analysis 6. Selecting Subsets of Data 7. Filtering Rows 8. Index Alignment 9. Grouping for Aggregation, Filtration, and Transformation 10. Restructuring Data into a Tidy Form 11. Combining Pandas Objects 12. Time Series Analysis 13. Visualization with Matplotlib, Pandas, and Seaborn 14. Debugging and Testing Pandas 15. Other Books You May Enjoy
16. Index

Index

Symbols

.add method

working 261

.apply method

code, inspecting 567, 569, 570, 572, 574

performance 558, 560, 561, 562

performance, improving with Dask 562, 564, 565, 567

performance, improving with Pandarell 562, 564, 565, 567

performance, improving with Swifter 562, 564, 566, 567

working 561

.cummax method

working

.describe method 139

.groupby method

using, for DataFrames with DatetimeIndex

.idxmax method

working 279, 281

.join method 417, 419, 421, 424, 426

.merge method 417, 419, 421, 423, 426

A

aggregation

defining 286, 288

working 289

aggregation function

customizing, with *args parameter 307, 309, 310, 311

customizing, with **kwargs parameter 307, 309, 311

grouping with 303, 304, 305, 306

area charts

stacking, to discover trends 532, 533, 535, 536, 538

arithmetic operator

method 32

axis levels

renaming 384, 385, 386, 387, 388, 389

...
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