imlresi
Tools for dealing with IML-Resi PowerDrill data using python.
THIS PACKAGE IS UNOFFICAL AND HAS BEEN DEVELOPED INDEPENDENT OF IML
Current limitations:
- Focus is on actual measurements made by the tool rather than meta-info.
- Poor support for data generated in PD-Tools (e.g. "assessments").
Install
https://pypi.org/project/imlresi/
pip install imlresi
Use
from imlresi.trace import Trace
tr = Trace()
tr.read('trace.rgp')
tr.to_json()
Metadata
Release files for imlresi 0.0.42
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imlresi-0.0.42.tar.gz | 42.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imlresi-0.0.42-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 74.7 kB
Release files / imlresi-0.0.42.tar.gz
| Download URL | imlresi-0.0.42.tar.gz |
|---|---|
| Size | 42.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
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Release files / imlresi-0.0.42-py3-none-any.whl
| Download URL | imlresi-0.0.42-py3-none-any.whl |
|---|---|
| Size | 31.9 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/6.2.0 CPython/3.14.6
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