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.
1 maintainer
Metadata
1 maintainer
Release files for MEDS-visualizations 0.0.5
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