Refactored 3d visualization code

import os

import yaml

import numpy as np

continuum_fits = {

    'G332.96': 'tG332.96.cont_1.33mm.12m7m.multiscale.image.fits',

    'G28': 'tG028.27.cont_1.33mm.12m7m.multiscale.image.fits',

    'G14': 'tG014.49.cont_1.33mm.12m7m.multiscale.image.fits',

}

main_line_intensity_indices = {

    'CH3OH': (3, 9, 15),

    'N2H+': (0, 3, 6)

}

velocity_indices = {

    'CH3OH': (1, 7, 13),

    'N2H+': (1, 4, 7)

}

linewidth_indices = {

    'CH3OH': (2, 8, 14),

    'N2H+': (2, 5, 8)

}

source_names = ['G332.96', 'G28', 'G14', ]

datadir = os.path.join('assets', 'data')

with open(os.path.join(datadir, 'source_properties.yml'), 'r') as infile:

    source_properties = yaml.load(infile, Loader=yaml.FullLoader)

with open(os.path.join('mdl', 'config', 'config.yml'), 'r') as infile:

    config_mdl = yaml.load(infile, Loader=yaml.FullLoader)

with open(os.path.join('config', 'config_visfit.yml'), 'r') as infile:

    config_vis3d = yaml.load(infile, Loader=yaml.FullLoader)

independent_indices = {

    'CH3OH': np.array((0, 1, 2, 3, 6, 9)),

    'N2H+': np.array((0, 1, 2,))

}

ncomponents = 3

species_names = ['CH3OH', 'N2H+']

peaks_per_component = {

    'CH3OH': 4,

    'N2H+': 1

}

detection_index = {

    'CH3OH': 3,

    'N2H+': 0

}

  n_clusters: 3,

  min_velocity: -inf,

  surface_point: [272, 278, 79.2268463],

  plot_velocity_limits: [75, 85],

  plot_species: ['N2H+'],

  plot_velocity_limits: [74, 81],

  plot_species: ['CH3OH'],

  continuum_limits: [0.1, 3]

}

G14: {