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Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive, and modular and are displayed directly in the output of the cells of your jupyter notebook environment. Charts are fully interactive, you can hover it to display tooltips and select the information you want to see directly from the output cell of your notebook. All the types of charts present in Chart.js are exposed in ipychart. Even complex features such as mixed-types charts are available. Charts are highly customizable and all Chart.js options are available in ipychart. You have complete control over the appearance of your chart.
Features
- You can install ipychart from your terminal using pip or conda
- The power of Chart.js with Python
- Create charts with Python in a very similar way to creating charts using Chart.js
- All the types of charts present in Chart.js are exposed in ipychart
- Charts are highly customizable and all Chart.js options are available in ipychart.
- Even complex features such as mixed-types charts are available
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow ipychart
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