TornadoDataset.plot_tors

TornadoDataset.plot_tors(tor_info, domain='conus', plotPPH=False, ax=None, return_ax=False, return_domain=True, cartopy_proj=None, **kwargs)[source]

Creates a plot of tornado tracks and Practically Perfect Forecast (PPH).

Parameters

  • tor_info (pandas.DataFrame / dict / datetime.datetime / list) –

    Requested tornadoes to plot. Can be one of the following:

    • Pandas DataFrame containing the requested tornadoes to plot.

    • dict entry containing the requested tornadoes to plot.

    • datetime.datetime object for a single day to plot tornadoes.

    • list with 2 datetime.datetime entries, a start time and end time for plotting over a range of dates.

  • domain (str) – Domain for the plot. Default is “conus”. Please refer to Map Domain Options for available domain options.

  • plotPPH (bool or str) –

    Whether to plot practically perfect forecast (PPH). True defaults to “daily”. Default is False.

    • False - no PPH plot.

    • True - defaults to “daily”.

    • ”total” - probability of a tornado within 25mi of a point during the period of time selected.

    • ”daily” - average probability of a tornado within 25mi of a point during a day starting at 12 UTC.

  • ax (axes) – Instance of axes to plot on. If none, one will be generated. Default is none.

  • cartopy_proj (ccrs) – Instance of a cartopy projection to use. If none, one will be generated. Default is none.

  • prop (dict) – Property of tornado tracks.

  • map_prop (dict) – Property of cartopy map.