Pandas OR
Optimization research made easy using Pandas and Ortools.
The purpose of working with Pandas in combination with Ortools is to bridge the gap between optimization research and data analytics, data science, and data visualization. With pandas-or, you can solve complex knapsack or vehicle routing type problems and then create statistics, plots, and dashboards from your results!
💻 Installation
Pip
pip install pandas-or
▶ Demo
Try out the examples in Binder!
🚶 Upcoming features
- Code tests.
- Basic shift scheduling solvers.
- More complex routing problem solvers (pickups & deliveries, constraints).
- Read The Docs documentation.
- Gitlab CI builds.
📚 Read The Docs
Coming soon!
Sponsors
1 maintainer
Metadata
1 maintainer
Release files for pandas-or 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pandas-or-0.1.3.tar.gz | 11.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pandas_or-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.9 kB
Release files / pandas-or-0.1.3.tar.gz
| Download URL | pandas-or-0.1.3.tar.gz |
|---|---|
| Size | 11.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.9.13 Windows/10
|
Release files / pandas_or-0.1.3-py3-none-any.whl
| Download URL | pandas_or-0.1.3-py3-none-any.whl |
|---|---|
| Size | 13.8 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.9.13 Windows/10
|
