A package for calculating common indices from plant leaf wax carbon chain-length distribution and isotopic data
Project description
leafwaxtools
A Python package for calculating common indicies from plant leaf wax carbon chain-length distribution and isotopic data.
Versions
See the releases page for details on each version (latest = v2.1.2).
Documentation
Online documentation is available through readthedocs.
Installation
The latest stable release is available through PyPI. We recommend using Anaconda or Miniconda with a dedicated environment. Full installation instructions will be made available soon.
Citation
If you use our code for your own work, please cite us! You can use the "cite this repository" button in the "About" section of the GitHub page for this package.
Development
leafwaxtools development takes place here on GitHub.
License
This project is licensed under the Apache 2.0 license. Please refer to the file call license. If you use this code in publications, please credit the work using the citation file.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file leafwaxtools-2.1.2.tar.gz.
File metadata
- Download URL: leafwaxtools-2.1.2.tar.gz
- Upload date:
- Size: 10.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8e3b48ff4bc44e7c4e650c7ac103d5d202ef0817f974d55b786300f1ac08cd4f
|
|
| MD5 |
191bb722bbf7f02e1428a5a0c84f1511
|
|
| BLAKE2b-256 |
2c912f8cd3b5ba37357952187e7d52feeb2398ebc635da8e05dc8cb157288060
|
File details
Details for the file leafwaxtools-2.1.2-py3-none-any.whl.
File metadata
- Download URL: leafwaxtools-2.1.2-py3-none-any.whl
- Upload date:
- Size: 12.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
67036b2be3c28cf82da6c3a21062db006840df8ff350ddac34610f509437cedf
|
|
| MD5 |
ec9353566c101bd726e8a562d9d8f9cb
|
|
| BLAKE2b-256 |
9267b85598fbef3f92d907501276b5827f3de2b9be41ae4b602ba2d05af0ca76
|
