Interactive Data Visualization

This repo has tools and examples showing how to create Interactive Data Visualizations in Python using

• pandas
• seaborn
• altair
• bqplot
• ... and more

Dependencies

• Use the /docker folder to create a container, or
• Use a Conda env

conda remove -y -n dataviz --all
conda create -y -n dataviz python=3.6
conda activate dataviz
conda install -y -c conda-forge jupyterlab \
                                altair \
                                vega_datasets \
                                seaborn \
                                bqplot \
                                ipywidgets \
                                ipyleaflet \
                                nodejs
jupyter lab clean
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install bqplot

References

• Anatomy of a matplotlib figure, Video,Advanced Plots in mpl