MetPyQC
Python library for quality control and reconstruction of meteorological data
MetPyQC is currently under development and the current version is only preliminary.
Installation
MetPyQC is available on PyPI:
$ python -m pip install metpyqc
Dependencies
Other required packages:
- Numpy
- Scipy
- Pandas
- Scikit-learn
- Tqdm
Documentation
A detailed package documentation is available on Read the Docs
License
This project is licensed under the terms of the MIT license.
Metadata
Release files for MetPyQC 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| MetPyQC-0.1.1.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MetPyQC-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.2 kB
Release files / MetPyQC-0.1.1.tar.gz
| Download URL | MetPyQC-0.1.1.tar.gz |
|---|---|
| Size | 11.0 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/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
Release files / MetPyQC-0.1.1-py3-none-any.whl
| Download URL | MetPyQC-0.1.1-py3-none-any.whl |
|---|---|
| Size | 13.2 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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