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https://github.com/OpenSpace/OpenSpace.git
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Emma Broman
d7565f65ee
* Python script to download all the columns needed * Update task file. Use strings instead of std::filesystem::path, so that relative paths and tokens can be used
40 lines
1.7 KiB
Python
40 lines
1.7 KiB
Python
##
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# Download most recent exoplanet data from NASA Exoplanet Archive using the TAP service
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# More info at: https://exoplanetarchive.ipac.caltech.edu/docs/TAP/usingTAP.html
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#
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# The data table is the Planetary Systems Composite dataset, where multiple sources have
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# been combined into one row per planet.
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# https://exoplanetarchive.ipac.caltech.edu/cgi-bin/TblView/nph-tblView?app=ExoTbls&config=PSCompPars
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#
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# The script downloads the columns needed for the visualization in OpenSpace and for the
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# exoplanets datapreparation task, but more columns can be added if needed.
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##
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import pandas as pd
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dataFileName = 'downloaded_exo_data.csv'
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# The columns we need for the visualization in OpenSpace
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columns = 'pl_name,hostname,pl_letter,sy_snum,sy_pnum,pl_orbsmax,pl_orbsmaxerr1,pl_orbsmaxerr2,' \
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'pl_orbeccen,pl_orbeccenerr1,pl_orbeccenerr2,pl_orbincl,pl_orbinclerr1,pl_orbinclerr2,' \
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'pl_orblper,pl_orblpererr1,pl_orblpererr2,pl_orbper,pl_orbpererr1,pl_orbpererr2,' \
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'pl_radj,pl_radjerr1,pl_radjerr2,pl_tranmid,pl_tranmiderr1,pl_tranmiderr2,ra,dec,' \
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'sy_dist,st_rad,st_raderr1,st_raderr2,st_teff,st_tefferr1,st_tefferr2,' \
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'st_lum,st_lumerr1,st_lumerr2,cb_flag,disc_year'
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# This may contain any extra conditions that one might want to fulfill. Start with a '+' sign
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where = ''
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###
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## Download and save csv file
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print("Downloading all confirmed planets from NExSci's Exoplanets Archive... (Planetary Systems Composite Data table)")
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NEW_API = 'https://exoplanetarchive.ipac.caltech.edu/TAP/sync?query='
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url = NEW_API + 'select+' + columns + '+from+pscomppars' + where + '&format=csv'
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print(url)
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df = pd.read_csv(url)
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print("Writing data to file...")
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df.to_csv(dataFileName)
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print("Done!")
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