This is a collection of functions that make it easy to do data transformations using Jupyter notebooks in Python. Each of the different transformation functions takes a Pandas dataset as input and returns one as output.
This also uses Plotly to output charts in the context of a Jupyter notebook.
This was originally created to help us migrate users off of Chartio and onto other platforms Python-based data stacks. We thought this might be useful to the community.
Take a look at transforms/ for a more complete listing of functions.
import transforms
new_dataset = transforms.remove_columns(dataset, ["Column 1", "Column 2"])This library is largely in maintenance mode. That said, if you would like to contribute, please email us: team@hotswap.app. We'd love to hear from you!