cotat is a visualization tool for the analysis of contact tracing data. Given a dataframe of people (along with their attributes) and a dataframe of known contacts among the individuals, cotat exports an interactive HTML visualization of the network. Furthermore, certain columns of the people dataframe can be labeled as "membership columns" which allows one to visualize which people belong to the same groups (e.g. building, club, etc..) even if a contact between those individuals has not been reported.
Examples
Installation
The quickest way to get started is with a pip install.
pip install cotat
License
Licensed under the MIT License
1 maintainer
Metadata
1 maintainer
Release files for cotat 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cotat-0.2.0.tar.gz | 9.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cotat-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.2 kB
Release files / cotat-0.2.0.tar.gz
| Download URL | cotat-0.2.0.tar.gz |
|---|---|
| Size | 9.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
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Release files / cotat-0.2.0-py3-none-any.whl
| Download URL | cotat-0.2.0-py3-none-any.whl |
|---|---|
| Size | 9.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
|
