hanlab - process and analyze odnp data
hanlab is an open-source Python package containing code used to process, fit, and analyze various types of DNP, NMR, and EPR data generated in the lab of Songi Han at UCSB.
Requirements
- Python 3.6 or Later
- dnplab==1.0.11, numpy, scipy, PyQt5==5.14
Install the required packages using pip:
pip install dnplab==1.0.11 numpy scipy PyQt5==5.14
Installation
Install hanlab using pip:
pip install hanlab
Documenation
- Online documentation: https://thcasey3.github.io/hanlab/
Developement
- Clone the git repository from https://github.com/thcasey3/hanlab/tree/development
Release files for hanlab 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hanlab-0.1.2.tar.gz | 28.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hanlab-0.1.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 59.7 kB
Release files / hanlab-0.1.2.tar.gz
| Download URL | hanlab-0.1.2.tar.gz |
|---|---|
| Size | 28.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.7
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Release files / hanlab-0.1.2-py2.py3-none-any.whl
| Download URL | hanlab-0.1.2-py2.py3-none-any.whl |
|---|---|
| Size | 30.8 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.7
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