pyarts.plots

This module provides functions related to plotting ARTS data.

class pyarts.plots.Info(xscale, xlabel, xfactor)

__init__(xscale, xlabel, xfactor) → None

pyarts.plots.all_keys(atm)

pyarts.plots.plot_arts_lookup(lookup, opacity=True, z=None, g=9.80665, r=287.0570048905812, tpert=0, vmrpert=0, pressures=None, cols=3, species=None)

Visualize an ARTS lookup table.

Plots the opacity or the absorption cross sections based on an ARTS lookup table.

Parameters:

• lookup (pyarts.arts.GasAbsLookup) – ARTS lookup table object.

• opacity (bool, optional) – Set to False to plot the absorption cross sections.

• z (ndarray, optional) – Altitude profile. Optional input for opacity calculation. If not given, the layer thicknesses are calculated based on the hypsometric formula.

• g (float, optional) – Gravity constant. Uses Earth’s gravity by default.

• r (float, optional) – Gas constant for dry air. Uses constant for Earth by default.

• tpert (int, optional) – Index of temperature perturbation to plot.

• vmrpert (int, optional) – Index of vmr perturbation for nonlinear species to plot.

• pressures (ndarray(int), optional) – Pressure levels to plot. If not given, up to 6 pressure levels are selected.

• cols (int, optional) – Species to plot per row.

Returns:

Matplotlib Figure and Axes objects.

Return type:

matplotlib.figure.Figure, ndarray(AxesSubplot)

Examples:

from os.path import join, dirname
import matplotlib.pyplot as plt
import pyarts

lookup_file = join(dirname(pyarts.__file__), '../../test/plots/reference',
                   'abs_lookup_small.xml')
fig, ax = pyarts.plots.plot_arts_lookup(pyarts.xml.load(lookup_file))

fig.suptitle('Lookup table opacities')
fig.subplots_adjust(top=0.88)
plt.show()

(Source code)

from os.path import join, dirname
import matplotlib.pyplot as plt
import pyarts
from pyarts.arts import ArrayOfArrayOfSpeciesTag, SpeciesTag

lookup_file = join(dirname(pyarts.__file__), '../../test/plots/reference',
                   'abs_lookup_small.xml')
fig, ax = pyarts.plots.plot_arts_lookup(
    pyarts.xml.load(lookup_file),
    species=ArrayOfArrayOfSpeciesTag([[SpeciesTag("N2O")],
                                      [SpeciesTag("O3")]]),
    opacity=False)

fig.suptitle('Lookup table absorption cross sections [m$^2$]')
fig.subplots_adjust(top=0.88)
plt.show()

(Source code)

pyarts.plots.plt_info(atm, keys=[])

pyarts.plots.polar_ray_path(ray_path, planetary_radius=0.0, rscale=1000, figure_kwargs={'dpi': 300}, draw_lat_lon=True, draw_map=True, draw_za_aa=False, fig=None, axes=None)

Plots a single observation in a polar coordinate system

Use the draw_* variables to select which plots are done

The polar plots’ central point is at the surface of the planet, i.e., at planetary_radius/rscale. The radius of these plots are the scaled down radiuses of the input ray_path[0].pos[0] / rscale + planetary_radius/rscale. The default radius value is thus just the altitude in kilometers. If you put, e.g., 6371e3 as the planetary_radius, the radius values will be the radius from the surface to the highest altitude

Note also that longitudes are unwrapped, e.g. a step longer than 180 degrees between ray_path points will wrap around, or rather, create separate entries of the lat-lons.

Parameters:

• ray_path (pyarts.arts.ArrayOfPropagationPathPoint) – A single propagation path object

• planetary_radius (float, optional) – See polar_ray_path_helper()

• rscale (float, optional) – See polar_ray_path_helper()

• figure_kwargs (dict, optional) – Arguments to put into plt.figure(). The default is {“dpi”: 300}.

• draw_lat_lon (bool, optional) – Whether or not latitude and longitude vs radius angles are drawn. Def: True

• draw_map (bool, optional) – Whether or not latitude and longitude map is drawn. Def: True

• draw_za_aa (bool, optional) – Whether or not Zenith and Azimuth angles are drawn. Def: False

• fig (Figure, optional) – A figure. The default is None, which generates a new figure.

• axes (A list of five Axes, optional) – A tuple of five axis. The default is None, which generates new axes. The order is [lat, lon, map, za, aa]

Returns:

• fig (As input) – As input.

• axes (As input) – As input.

pyarts.plots.ppvar_atm(atm, path, keys=[], info={})

pyarts.plots.select_atm(atm, keys=[])

pyarts.plots.select_keys(atm, keys)