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Added popular drawing library Pyecharts (krzjoa#28)
* Added popular drawing library Pyecharts Added popular interactive visual drawing library Pyecharts,10.8k star * add lib logo add Visual drawing library logo,echarts,pyecharts * add pyecharts logo image add pyecharts logo image * Add a full stop Add a full stop
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README.md

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* [Bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python.
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* [Altair](https://altair-viz.github.io/) - Declarative statistical visualization library for Python. Can easily do many data transformation within the code to create graph
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* [bqplot](https://github.com/bqplot/bqplot) - Plotting library for IPython/Jupyter notebooks
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* [pyecharts](https://github.com/pyecharts/pyecharts) - Migrated from [Echarts](https://github.com/apache/echarts), a charting and visualization library, to Python's interactive visual drawing library.<img height="20" src="img/pyecharts.png" alt="pyecharts"> <img height="20" src="img/echarts.png" alt="echarts">
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### Map
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* [folium](https://python-visualization.github.io/folium/quickstart.html#Getting-Started) - Makes it easy to visualize data on an interactive open street map
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* [geemap](https://github.com/giswqs/geemap) - Python package for interactive mapping with Google Earth Engine (GEE)

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