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Overview of Python Visualization Tools

Diego Marinho de Oliveira

Gen-AI Search, RecSys | ex-SEEK, AI Lead, Data Scientist Manager and ML Engineer Specialist

发布日期: 2015年10月28日

In the python world, there are multiple options for visualizing your data. Because of this variety, it can be really challenging to figure out which one to use when. This article contains a sample of some of the more popular ones and illustrates how to use them to create a simple bar chart.

Pandas
Seaborn
ggplot
Bokeh
pygal
Plotly

Author: Chris Moffitt

Nate Busa

Director, Tech and Digital at Neom | AI @Stanford | CTO Program @Wharton | Technology Strategy, Innovation, Product Development

9 年

I use highcharts andI embedd the Javascript in my notebooks.

1 次回应

Mohamad Fazeli

Technical Team Lead

9 年

what about matplotlib??

1 次回应

Isabella Ghement

Owner, Ghement Statistical Consulting Company

9 年

Diego: The first plot meant to illustrate ggplot looks strange - the smoothing span seems inadequate and the result is a smooth which misses out on many features of the data.

Anthony .T. Ditle

9 年

Not enough.

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Overview of Python Visualization Tools

Diego Marinho de Oliveira

Gen-AI Search, RecSys | ex-SEEK, AI Lead, Data Scientist Manager and ML Engineer Specialist

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其他会员也浏览了

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