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Pandas Cookbook

You're reading from   Pandas Cookbook Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781784393878
Length 532 pages
Edition 1st Edition
Languages
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Author (1):
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Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
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Table of Contents (12) Chapters Close

Preface 1. Pandas Foundations 2. Essential DataFrame Operations FREE CHAPTER 3. Beginning Data Analysis 4. Selecting Subsets of Data 5. Boolean Indexing 6. Index Alignment 7. Grouping for Aggregation, Filtration, and Transformation 8. Restructuring Data into a Tidy Form 9. Combining Pandas Objects 10. Time Series Analysis 11. Visualization with Matplotlib, Pandas, and Seaborn

Doing multivariate analysis with seaborn Grids

To understand seaborn further, it is helpful to be aware of the hierarchy between the functions that return multiple Axes as a seaborn Grid and those that return single Axes:

Grid type

Grid function

Axes functions

Variable type

FacetGrid

factorplot

stripplot, swarmplot, boxplot, violinplot,

lvplot, pointplot, barplot, countplot

Categorical

FacetGrid

lmplot

regplot

Continuous

PairGrid

pairplot

regplot, distplot, kdeplot

Continuous

JointGrid

jointplot

regplot, kdeplot, residplot

Continuous

ClusterGrid

clustermap

heatmap

Continuous

The seaborn Axes functions may all be called independently to produce a single plot. The Grid functions, for the most part, use the Axes functions to build the grid. The final objects returned from the Grid functions are of Grid type, of which...

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