pyClimat
Climat python package for analysising GCM model output and visualization. The package is written in a function based (would be pivoted to OPP style in future development). The analysis module features climate variable extraction and estimation of statistical long-term means and difference. Statistical tools like PCA or EOF analysis are included for specific estimates and many other classical methods like testing, OLS estiates, etc.
installation
Can be installed by chećking the dependencies in pyClimat.yml (But it will be compiled afterwards for easy installatoin)
The package would also be uploaded on pypi (which can be installed with pip install pyClimat or with the -e flag to install in edit mode)
Documentation
The docs folder contains all the dist for the documentation compilation (cd docs; make html) The direct stable link would be shared shortly
Examples
This package was adopted for all the visualization in the research study by Boateng et. al 2022 ( Impacts of surface uplift on regional climate) The scripts can be located in the folder Alps
Metadata
Release files for pyClimat 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyClimat-0.0.1.tar.gz | 25.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyClimat-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 52.5 kB
Release files / pyClimat-0.0.1.tar.gz
| Download URL | pyClimat-0.0.1.tar.gz |
|---|---|
| Size | 25.2 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.7
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Release files / pyClimat-0.0.1-py3-none-any.whl
| Download URL | pyClimat-0.0.1-py3-none-any.whl |
|---|---|
| Size | 27.3 kB |
| Tags | Python 3 |
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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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.7
|