Plotly Cheat Sheet — essentials you need to know for data viz with Python

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Plotly Essential chart types — image by author

If you work with data, Plotly is an essential addition to your toolkit, enabling you to create interactive and insightful data visualizations with ease. It significantly reduces manual work and enhances the reusability of chart snippets, saving you valuable time and effort.

This cheat sheet will serve as a quick start guide, empowering you to user the full potential of this powerful tool!

But before we start… install the library if you haven’t yet and import it as:

import plotly.express as px
from plotly import graph_objects as go

Line

output line chart

Bar

output bar chart

Area

output area chart

Histogram

output histogram chart

Normalised bar

output normed bar chart

Funnel

output funnel chart

I hope this was helpful! Follow my blog for useful tips on data manipulation, events based analytics and much more!

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Shagane Mirzoian

Senior Analyst at Wise | Analytics Course Author | Events-based analytics evangelist