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Welcome to windrose’s documentation!

Contents:

• Install
  • Requirements
  • Install latest release version via pip
• Usage
  • A stacked histogram with normed (displayed in percent) results.
  • Another stacked histogram representation, not normed, with bins limits.
  • A windrose in filled representation, with a controlled colormap.
  • Same as above, but with contours over each filled region…
  • …or without filled regions.
  • Probability density function (pdf) and fitting Weibull distribution
  • Overlay of a map
  • Subplots
  • Functional API
  • Pandas support
  • Video export
• Development
  • Issues
  • Clone
  • Run unit tests
  • Install development version
  • Collaborating
• API
  • WindAxes
  • WindAxesFactory
  • WindroseAxes
  • clean()
  • clean_df()
  • histogram()
  • plot_windrose()
  • plot_windrose_df()
  • plot_windrose_np()
  • wrbar()
  • wrbox()
  • wrcontour()
  • wrcontourf()
  • wrpdf()
  • wrscatter()

A windrose, also known as a polar rose plot, is a special diagram for representing the distribution of meteorological data, typically wind speeds by class and direction. This is a simple module for the matplotlib python library, which requires numpy for internal computation.

Original code forked from: - windrose 1.4 by Lionel Roubeyrie lionel.roubeyrie@gmail.com http://youarealegend.blogspot.com/search/label/windrose

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests

Indices and tables

• Index

• Module Index

• Search Page