COVID-19 data as pandas dataframes. Built-in plotting functions. Tutorials in our docs.
Project description
covid19pandas
This package presents COVID-19 data from Johns Hopkins University and The New York Times 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.
Installation
Install the package via pip: pip install covid19pandas
Usage
After importing the package, you can quickly access data with a simple function call:
Tutorials
Our tutorials 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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file covid19pandas-0.3.1-py3-none-any.whl
.
File metadata
- Download URL: covid19pandas-0.3.1-py3-none-any.whl
- Upload date:
- Size: 23.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | af06e58f22dd5725c348477482c398f1372bc3a0276411295333429fb968b1dc |
|
MD5 | 87e93f5230f1050e5f99761f1819c931 |
|
BLAKE2b-256 | 7ceaeb4d9ca64a98c2ce097d42025c450d2d9d2af50f91e9003f52e191b61540 |