cloudytab
Ultra-lightweight python wrapper for output files from the Cloudy astrophysical plasma simulation code
Example of usage
from cloudytab import CloudyModel
m = CloudyModel("myfolder/mymodel")
m.files contains a list of all the files that were found:
['myfolder/mymodel.in', 'myfolder/mymodel.ovr', ...]
m.data contains dict of astropy.Table, one for each save file:
{'ovr': <Table length=289> ..., ...}
m.io['in'] and m.io['out'] contain the input and output streams
m.skipped contains a dict of each extension that was skipped with its reason.
Metadata
Release files for cloudytab 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cloudytab-0.1.0.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cloudytab-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.9 kB
Release files / cloudytab-0.1.0.tar.gz
| Download URL | cloudytab-0.1.0.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.12.1
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Release files / cloudytab-0.1.0-py3-none-any.whl
| Download URL | cloudytab-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.1
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