def gaiarv(dr=2,verbose=True):
filePaths= path.gaiarvPath(dr=dr,format='fits')
csvFilePaths= path.gaiarvPath(dr=dr,format='csv')
for filePath, csvFilePath in zip(filePaths,csvFilePaths):
if os.path.exists(filePath): continue
try:
os.makedirs(os.path.dirname(filePath))
except OSError: pass
downloadPath= csvFilePath.replace(path._GAIA_TOOLS_DATA.rstrip('/'),
'http://cdn.gea.esac.esa.int')
_download_file(downloadPath,csvFilePath,verbose=verbose)
data= ascii.read(csvFilePath,format='csv')
data.write(filePath,format='fits')
return None
def gaiarv(dr=2):
"""
NAME:
gaiarv
PURPOSE:
Load the RV subset of the Gaia data
INPUT:
dr= (2) data release
OUTPUT:
data table
HISTORY:
2018-04-25 - Written for DR2 - Bovy (UofT)
"""
filePaths = path.gaiarvPath(dr=dr, format='fits')
if not numpy.all([os.path.exists(filePath) for filePath in filePaths]):
download.gaiarv(dr=dr)
return numpy.lib.recfunctions.stack_arrays(\
[fitsread(filePath,ext=1) for filePath in filePaths],
autoconvert=True)