WindRoseDisplay.plot(dir_field, spd_field, dsname=None, subplot_index=(0,), cmap=None, set_title=None, num_dirs=20, spd_bins=None, tick_interval=3, legend_loc=0, legend_bbox=None, legend_title=None, calm_threshold=1.0, **kwargs)[source]

Makes the wind rose plot from the given dataset.

  • dir_field (str) – The name of the field representing the wind direction (in degrees).

  • spd_field (str) – The name of the field representing the wind speed.

  • dsname (str) – The name of the datastream to plot from. Set to None to let ACT automatically try to determine this.

  • subplot_index (2-tuple) – The index of the subplot to place the plot on.

  • cmap (str or matplotlib colormap) – The name of the matplotlib colormap to use.

  • set_title (str) – The title of the plot.

  • num_dirs (int) – The number of directions to split the wind rose into.

  • spd_bins (1D array-like) – The bin boundaries to sort the wind speeds into.

  • tick_interval (int) – The interval (in %) for the ticks on the radial axis.

  • legend_loc (int) – Legend location using matplotlib legend code

  • legend_bbox (tuple) – Legend bounding box coordinates

  • legend_title (string) – Legend title

  • calm_threshold (float) – Winds below this threshold are considered to be calm.

  • **kwargs (keyword arguments) – Additional keyword arguments will be passed into


ax (matplotlib axis handle) – The matplotlib axis handle corresponding to the plot.