GeographicPlotDisplay.geoplot(data_field=None, lat_field='lat', lon_field='lon', dsname=None, cbar_label=None, title=None, projection=None, plot_buffer=0.08, img_tile=None, img_tile_args={}, tile=8, cartopy_feature=None, cmap='rainbow', text=None, gridlines=True, **kwargs)[source]#

Creates a latitude and longitude plot of a time series data set with data values indicated by color and described with a colorbar. Latitude values must be in degree north (-90 to 90) and longitude must be in degree east (-180 to 180).

  • data_field (str) – Name of data field in the dataset to plot.

  • lat_field (str) – Name of latitude field in the dataset to use.

  • lon_field (str) – Name of longitude field in the dataset to use.

  • dsname (str or None) – The name of the datastream to plot. Set to None to make ACT attempt to automatically determine this.

  • cbar_label (str) – Label to use with colorbar. If set to None will attempt to create label from long_name and units.

  • title (str) – Plot title.

  • projection ( object) – Project to use on plot. See

  • plot_buffer (float) – Buffer to add around data on plot in lat and lon dimension.

  • img_tile (str) – Image to use for the plot background. Set to None to not use background image. For all image background types, see: Default is None.

  • img_tile_args (dict) – Keyword arguments for the chosen img_tile. These arguments can be found for the corresponding img_tile here: Default is an empty dictionary.

  • tile (int) – Tile zoom to use with background image. Higher number indicates more resolution. A value of 8 is typical for a normal sonde plot.

  • cartopy_feature (list of str or str) – Cartopy feature to add to plot.

  • cmap (str) – Color map to use for colorbar.

  • text (dictionary) – Dictionary of {text:[lon,lat]} to add to plot. Can have more than one set of text to add.

  • gridlines (boolean) – Use latitude and longitude gridlines.

  • **kwargs (keyword arguments) – Any other keyword arguments that will be passed into matplotlib.pyplot.scatter() when the figure is made. See the matplotlib documentation for further details on what keyword arguments are available.