Metadata-Version: 2.1
Name: covid19pandas
Version: 0.3.1
Summary: COVID-19 data as pandas dataframes. Built-in plotting functions. Tutorials in our docs.
Home-page: https://github.com/PayneLab/covid19pandas
Author: Dr. Samuel Payne
Author-email: sam_payne@byu.edu
License: Apache 2.0
Project-URL: Documentation, https://github.com/PayneLab/covid19pandas/tree/master/docs/
Keywords: covid covid-19 corona coronavirus COVID COVID-19 pandas Pandas bioinformatics
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6.*
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.16.3)
Requires-Dist: pandas (>=0.25.1)
Requires-Dist: requests (>=2.21.0)
Requires-Dist: seaborn (>=0.10.0)
Requires-Dist: matplotlib (>=3.1.0)

# covid19pandas
This package presents COVID-19 data from [Johns Hopkins University](https://github.com/CSSEGISandData/COVID-19) and [The New York Times](https://github.com/nytimes/covid-19-data) in pandas dataframes, to make analysis and visualization easier in a Python environment.

We provide this resource because it is important for anyone to be able to easily access data. Nevertheless, you should always follow the COVID-19 safety protocols established by authorities in your area rather than relying on any conclusions you may divine from these data about the state of the world. Established guidelines often include staying home as much as possible, avoiding contact with people outside your household, washing your hands frequently, and wearing a mask in public. 

For some great insights on problems that exist with COVID-19 data, as well as other things to consider when working with these data, read [this article.](https://www.tableau.com/about/blog/2020/3/ten-considerations-you-create-another-chart-about-covid-19)

### Installation
Install the package via pip: `pip install covid19pandas`

### Usage
After importing the package, you can quickly access data with a simple function call:

![Data loading demo](https://raw.githubusercontent.com/PayneLab/covid19pandas/master/docs/images/covid19pandas_basic_table.png)

### Tutorials
Our [tutorials](https://github.com/PayneLab/covid19pandas/tree/master/docs) show you how to create plots like the one below. Using our built-in functions, you can create many plot types in just two to five function calls.

![Plot_demo](https://raw.githubusercontent.com/PayneLab/covid19pandas/master/docs/images/covid19pandas_twinx_plot.png)


