Python package for loading filtering and visualizing data produced by the met masts at the National Wind Technology Center (NWTC) part of the National Renewable Energy Laboratory.
The following codebase is developed in Python 3.6 and makes heavy use of numpy, matplotlib, and pandas. Wind rose figures also require the python-windrose package available at https://github.com/python-windrose/windrose.
Example processing and visualizations are provided in the ipython notebooks. M5_demo.ipynb is a good place to start.
Data from the NWTC met masts is publicly available at https://nwtc.nrel.gov/135mData.
numpy - used to structure data into arrays, perform basic operations, etc. matplotlib - used in flow visualization pandas - dataframes, series, grouping, etc windrose - wind rose figures
Python 3.6 - working knowledge
Download or clone git repo. Go to town.
Nicholas Hamilton nicholas.hamilton@nrel.gov
Lucas McCullum lumccul3@gmail.com
This project is licensed under the Apache License - see the LICENSE file for details
Special thanks to Dave Jager for setting up and maintaining instrumentation, Lee Jay Fingersh and Andy Clifton for putting together data collection and QC software. Thanks also to anyone who would like to contribute!