Python connector to the Meteomatics Weather API
Meteomatics provides a REST-style API to retrieve historic, current, and forecast data globally. This includes model data and observational data in time series and areal formats. Areal formats are also offered through a WMS/WFS-compatible interface. Geographic and time series data can be combined in certain file formats, such as NetCDF.
Install by typing pip install meteomatics in your favourite shell.
For a start we recommend to run the example script.
Metadata
Release files for meteomatics 2.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| meteomatics-2.5.0.tar.gz | 15.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| meteomatics-2.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.9 kB
Release files / meteomatics-2.5.0.tar.gz
| Download URL | meteomatics-2.5.0.tar.gz |
|---|---|
| Size | 15.2 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/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.1
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Release files / meteomatics-2.5.0-py3-none-any.whl
| Download URL | meteomatics-2.5.0-py3-none-any.whl |
|---|---|
| Size | 17.8 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 |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.1
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