Data reduction for neutron depth profiling measurements
What is in this git:
- src/ndp/reduce.py - Reduces neutron depth profiling data from a single sample according to a schema.json file
- src/ndp/schema.py - Creates the schema.json file used to control the flow of data processing in Reduce.py
- src/ndp/example_files/config.json - instrument configuration file in JSON format, read by Reduce.py
- src/ndp/jupyter/ndpReduce.ipynb - Jupyter notebook interface for reducing ndp data with Reduce.py
- src/ndp/jupyter/schema.ipynb - Jupyter notebook interface for creating schema files
To install:
- Install Python>=3.9 via anaconda.com (recommended) or python.org
- (optional) Create an environment for ndp within Anaconda or using virtualenv
- Open the Anaconda prompt or your favorite command line emulator and run:
$ pip install ndp
To run this code:
- Navigate in the terminal to your working directory and run
$ python -m ndp.get_notebooks
- Start a jupyter server from this directory
$ jupyter-lab
- Modify schema.ipynb to have all of the info specific to your data sets
- Run schema.ipynb to create your schema file
- Modify ndpReduce.ipynb to load your new schema file
- Modify ndpReduce.ipynb to reflect the directory where you are keeping Reduce.py
- Run all the cells
- Adjust the plots to your preferences
Metadata
Release files for ndp 0.0.2
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 |
|---|---|---|---|---|
| ndp-0.0.2.tar.gz | 65.4 kB | Without provenance | Details for ndp-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ndp-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for ndp-0.0.2-py3-none-any.whl |
Total release size: 130.6 kB
Release files / ndp-0.0.2.tar.gz
| Download URL | ndp-0.0.2.tar.gz |
|---|---|
| Size | 65.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f771baf17ec0be4a4f71c8f19b4912ce6a2d830a622318c2afd0bb6814075754
|
|
BLAKE2b-256 checksum How to use checksums |
467f5568938c0b348798b812d7527e74d540d6133d01606f4e22dea0aaeecbf8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Release files / ndp-0.0.2-py3-none-any.whl
| Download URL | ndp-0.0.2-py3-none-any.whl |
|---|---|
| Size | 65.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
25e031b6b4b5284f009db342398df7774e8c8fe310d5005d5e510c91103d778a
|
|
BLAKE2b-256 checksum How to use checksums |
4d5f68458e835bcd4ad5d8a1666d354ee1d74be739b015ff436ec562dbfc1dd3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Security for ndp 0.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.