MBS
Simple Python library for loading and plotting MB Scientific ARPES detector data in both KRX and TXT format.
Installation
To install using pip, simply run pip install mbs.
To install using conda, please follow these instructions, as mbs is not directly published on conda .
Usage & Documentation
For some simple examples, see mbs_example.ipynb. In case interactive widgets are not showing up, please follow this guide. Full documentation is still a work in progress will be found here.
1 maintainer
Metadata
1 maintainer
Release files for mbs 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mbs-0.2.1.tar.gz | 33.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mbs-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 67.1 kB
Release files / mbs-0.2.1.tar.gz
| Download URL | mbs-0.2.1.tar.gz |
|---|---|
| Size | 33.1 kB |
| 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.23
|
Release files / mbs-0.2.1-py3-none-any.whl
| Download URL | mbs-0.2.1-py3-none-any.whl |
|---|---|
| Size | 34.0 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.23
|
