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...Actual chart configurations and examples can be found in the ./examples/ directory. They are simple CLI programs that write to output.png (they are also updated with go generate. Everything on the chart.Chart object has defaults that can be overridden. Whenever a developer sets a property on the chart object, it is to be assumed that value will be used instead of the default. The best way to see the api in action is to look at the examples in the ./_examples/ directory. I wanted to make a charting library that used only native golang, that could be stood up on a server (i.e. it had built-in fonts). ...

plotly.py is a browser-based, open source graphing library for Python that lets you create beautiful, interactive, publication-quality graphs. Built on top of plotly.js, it is a high-level, declarative charting library that ships with more than 30 chart types. Everything from statistical charts and scientific charts, through to maps, 3D graphs and animations, plotly.py lets you create them all. Graphs made with plotly.py can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.