Plotting

Trajectory data that are stored in a DataFrame returned by paraatm.io.iff.read_iff_file() or paraatm.io.nats.read_nats_output_file() can be plotted directly. Plotting is handled using the Bokeh library, which renders interactive plots in HTML.

paraatm.plotting.plot_trajectory(df, output_file=None, output_notebook=False, plot_width=1200, plot_height=600, tooltips=False, tile_provider='STAMEN_TERRAIN')

Plot scenario trajectory to static html and open browser

Parameters:

• df (DataFrame) – DataFrame containing a scenario with ‘latitude’, ‘longitude’, ‘heading’, and ‘callsign’ columns
• output_file (str) – Output file for html (if None, use bokeh default)
• output_notebook (bool) – If True, output to jupyter notebook
• plot_width (int) – Plot width in screen units
• plot_height (int) – Plot height in screen units
• tooltips (bool) – Whether to include tooltips that display information when hovering over the data points
• tile_providers (str or Vendors enum) – The bokeh “tile provider” used to draw the map background. May be either a string or an instance of the bokeh.tile_providers.Vendors enum. See also get_tile_providers().

The following is an example trajectory plot of the data in sample_data/IFF_SFO_ASDEX_ABC123.csv created using plot_trajectory():

from paraatm.plotting import plot_trajectory
from paraatm.io.iff import read_iff_file

df = read_iff_file('../paraatm/sample_data/IFF_SFO_ASDEX_ABC123.csv')

plot_trajectory(df, plot_width=700, plot_height=600)

paraatm.plotting.get_tile_providers()

Retrieve list of “tile providers” for use in trajectory plots

Returns: Return type:Enumeration