Download the HITRAN database

Database will be downloaded automatically and can be edited locally.

By default the database is returned as a Pandas DataFrame. To explore huge databases (like CO2, CH4 or H2O) that do not fit in RAM, RADIS allows you to use a Vaex DataFrame instead (out-of-RAM), see the Explore Database with Vaex example

from radis.io.hitran import fetch_hitran

df = fetch_hitran("OH")
print(df.columns)

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OH - HITRAN - Downloading database
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Download:
- Downloading all isotopes for OH

Downloading isotopologues:   0%|          | 0/3 [00:00<?, ?it/s]
Downloading isotopologues:  33%|███▎      | 1/3 [00:01<00:03,  1.68s/it]
Downloading isotopologues:  67%|██████▋   | 2/3 [00:01<00:00,  1.21it/s]
Downloading isotopologues: 100%|██████████| 3/3 [00:02<00:00,  1.72it/s]
Downloading isotopologues: 100%|██████████| 3/3 [00:02<00:00,  1.36it/s]

HITRAN database download complete
Added HITRAN-OH database in /home/docs/radis.json
Index(['id', 'iso', 'wav', 'int', 'A', 'airbrd', 'selbrd', 'El', 'Tdpair',
       'Pshft', 'globu', 'globl', 'locu', 'locl', 'line_mixing_flag', 'gp',
       'gpp'],
      dtype='str')

Returns:

Index(['id', 'iso', 'wav', 'int', 'A', 'airbrd', 'selbrd', 'El', 'Tdpair',
       'Pshft', 'globu', 'globl', 'locu', 'locl', 'ierr', 'iref', 'lmix', 'gp',
       'gpp'],
      dtype='object')

Columns are described in columns_2004

A specific can be retrieved with the same fetch_hitemp() function. The already downloaded database will be used:

df = fetch_hitran("OH", load_wavenum_min=31500, load_wavenum_max=33000, isotope="1")
df.plot("wav", "int")

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OH - HITRAN - Downloading database
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Download:
- All files already downloaded.

Caching to HDF5/H5 format:
- All files already cached.

<Axes: xlabel='wav'>