def trimmed_query(self, *args, **kwargs):
S = Splatalogue(energy_max=500,
energy_type='eu_k',
energy_levels=['el4'],
line_strengths=['ls4'],
only_NRAO_recommended=True,
show_upper_degeneracy=True)
columns = [
'Species', 'Chemical Name', 'Resolved QNs', 'Freq-GHz',
'Log<sub>10</sub> (A<sub>ij</sub>)', 'E_U (K)',
'Upper State Degeneracy'
]
table = S.query_lines(*args, **kwargs)
table.rename_column('Log<sub>10</sub> (A<sub>ij</sub>)', 'log10(Aij)')
table['Aij'] = pow(10, table['log10(Aij)'])
#table.remove_column('log10(Aij)')
table.rename_column('E_U (K)', 'EU_K')
table.rename_column('Resolved QNs', 'QNs')
table.rename_column('Upper State Degeneracy', 'g_u')
table['Freq-MHz'] = table['Freq-GHz'] * 1000.
table.remove_column('Freq-GHz')
table.sort('Freq-MHz')
self.remove_hfs(table)
if self.idx_obs:
table = table[self.idx_obs]
return table
