A Python package for statistical wind speed adjustment using meteorological data
Project description
WindAdjustment
A Python package for statistical wind speed adjustment using meteorological data.
Overview
WindAdjustment provides tools for performing statistical adjustments on wind data, supporting both point-wise and regional analysis:
- PointAdjustment: Performs statistical adjustments for wind data at specific points/locations
- RegionAdjustment: Applies point-wise adjustments across entire regions using the PointAdjustment functionality
- WindSpeedVisualizer: Provides visualization tools for wind data and adjustment results
The package allows users to perform adjustments for specific time periods according to their requirements, making it suitable for climate studies, wind energy assessments, and meteorological research.
Installation
From source
git clone https://github.com/yourusername/windadjustment.git
cd windadjustment
pip install -e .
Usage
Detailed usage examples and tutorials are available in the docs/ folder:
Point_Adjustment_Usage_Guide.ipynb- Complete guide for point-wise adjustmentsRegionAdjustment_Usage_Guide.ipynb- Guide for regional adjustmentsWindAdjustment_Usage_Guide.ipynb- General usage and visualization guide
Requirements
See requirements.txt for the complete list of dependencies.
License
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License - see the LICENSE file for details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
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 windadjustment-1.0.0-py3-none-any.whl.
File metadata
- Download URL: windadjustment-1.0.0-py3-none-any.whl
- Upload date:
- Size: 18.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3cd149aab578d087b613c84e52c683fff3b189407ea2509cb1fb780e66578412
|
|
| MD5 |
4126e321cb32dfc2da0039a6caeb7e63
|
|
| BLAKE2b-256 |
2280e622b349fc03a92629f64e5041ddc4c1ee8c693820fce8ea2074c5c336fd
|