This repository contains notebook + code for DataCamp community post on hierarchical indices, groupby, split-apply-combine and pandas.
Clone this repository
git clone https://github.com/datacamp/community-hierarchical-indices
If you do not already have the Anaconda distribution, go get it (n.b., you can also do this w/out Anaconda using pip to install the required packages, however Anaconda is great for Data Science and I encourage you to use it).
Navigate to the relevant directory community-hierarchical-indices and install required packages in a new conda environment:
conda env create -f environment.yml
This will create a new environment called hierarchical-indices-pandas. To activate the environment, execute
source activate hierarchical-indices
Then open the notebook hierarchical_indices_multiple_groupbys_and_pandas.ipynb and execute the code.
The code in this repository is released under the MIT license. Read more at the Open Source Initiative. All text remains the Intellectual Property of DataCamp. If you wish to reuse, adapt or remix, get in touch with me at hugo at datacamp com to request permission.