Metadata-Version: 2.1
Name: babino2020masks
Version: 0.0.1
Summary: Code used in https://arxiv.org/abs/2006.05532
Home-page: https://github.com/ababino/babino2020masks/tree/master/
Author: Andres Babino
Author-email: ababino@rockefeller.edu
License: Apache Software License 2.0
Keywords: coronavirus counterfactual causality masks covid19
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: requests
Requires-Dist: matplotlib
Requires-Dist: fastcore
Requires-Dist: seaborn

# Masks and COVID-19: a causal framework for imputing value to public-health interventions
> Code to reproduce <a href='https://arxiv.org/abs/2006.05532'>Masks and COVID-19</a>.


This is a refactored version of the original [code](https://github.com/ababino/corona). 

## Install

`pip install babino2020masks`

## Positivity Odds in NYS

```python
ny = NYSAPI()
df = ny.get_all_data_state_wide()
```

```python
ax = df.plot.scatter(x='Date', y='Odds', figsize=(10, 7), logy=True);
ax.set_title(f'{df.tail(1).Date[0]:%B %d, %Y}, Positivity Odds:{df.tail(1).Odds[0]:2.3}');
```


![png](docs/images/output_5_0.png)



