imodmodel
Read and write IMOD model files as pandas dataframes in Python.
Usage
Read IMOD models as pandas DataFrame
import imodmodel
df = imodmodel.read('my_model_file.mod')
In [3]: df.head()
Out[3]:
object_id contour_id x y z
0 0 0 64.333336 64.666664 80.0
1 0 0 47.000000 77.333336 80.0
2 0 0 51.333332 45.666668 80.0
3 0 0 87.333336 49.666668 80.0
4 0 0 76.000000 82.000000 80.0
Write IMOD models from a pandas DataFrame
imodmodel.write(df, 'my_new_modelfile.mod')
For more advanced use cases we also provide an object-based API. Please consult our Documentation.
Installation
imodmodel can be installed from the Python Package Index (PyPI)
pip install imodmodel
We recommend installing into a clean virtual environment.
Metadata
Release files for imodmodel 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 | Provenance | Actions |
|---|---|---|---|---|
| imodmodel-0.1.0.tar.gz | 1.2 MB | Without provenance | Details for imodmodel-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| imodmodel-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for imodmodel-0.1.0-py3-none-any.whl |
Total release size: 1.2 MB
Release files / imodmodel-0.1.0.tar.gz
| Download URL | imodmodel-0.1.0.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
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/6.1.0 CPython/3.13.2
|
Release files / imodmodel-0.1.0-py3-none-any.whl
| Download URL | imodmodel-0.1.0-py3-none-any.whl |
|---|---|
| Size | 13.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
846b6e2b3cdce4715da979b6576d241dba6d4ccbc5d8ef17d7c9ed576936b3fb
|
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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/6.1.0 CPython/3.13.2
|
Security for imodmodel 0.1.0
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