MEDS-visualizations 0.0.2

A framework for compiling simple, mapreduce style pipelines over MEDS datasets.

MEDS Visualizations

Visualization tools for MEDS datasets.

[!WARNING] This is a work in progress. The API and functionality are very likely change as we develop the library.

Installation

pip install MEDS_visualizations

Usage

In a Jupyter notebook, you can load whatever combination of data extractor and plotter you want:

from MEDS_visualizations.extractors import CodeFrequency
from MEDS_visualizations.plotters import Bar
from MEDS_visualizations.visualization import Visualization

CF = CodeFrequency(as_proportions=True)
P = Bar(top_k=10, y_cols=["n_occurrences"])

V = Visualization(extractor=CF, plotter=P)
V.render(data_shards)

In the future, we anticipate

• Registering extractors and plotters via pypi entry points.
• Adding the capability to chain together arbitrary extractors and plotters to make a report in a visualization.
• Adding the capability to apply arbitrary filters or transformations to all data shards used to power a visualization.