Climate metrics
climate_metrics implements standard greenhouse gas methods including Global Warming Potential (GWP) and Average Global Temperature Change Potential (GTP). The implementation provides flexibility for computing climate metrics for a time series of GHG emissions represented as a time series. You can find a motivating example here.
Development
Tests can be executed on the local copy of climate_metrics by running python -m pytest from the root directry which adds the current directory to sys.path.
Notebooks are checked using nbval: pytest --nbval notebooks will check that the notebook outputs are the same and pytest --nbval-lax notebooks which check that the notebooks execute without errors.
Metadata
Release files for climate-metrics 2022.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| climate_metrics-2022.1.0.tar.gz | 7.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| climate_metrics-2022.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.5 kB
Release files / climate_metrics-2022.1.0.tar.gz
| Download URL | climate_metrics-2022.1.0.tar.gz |
|---|---|
| Size | 7.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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Release files / climate_metrics-2022.1.0-py3-none-any.whl
| Download URL | climate_metrics-2022.1.0-py3-none-any.whl |
|---|---|
| Size | 7.3 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.6.1 pkginfo/1.8.2 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
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