Get all keys of dataseries "aia.lev1_euv_12s":
>>> fetch.getKeys('aia.lev1_euv_12s')
['T_REC', 'T_OBS', 'WAVELNTH', 'DATE', ..., 'T_REC_epoch']Get all segments of dataseries "aia.lev1_euv_12s":
>>> fetch.getSegments('aia.lev1_euv_12s')
['image', 'spikes']Fetch DATE__OBS, DATAMEAN and image filepaths for the 304 wavelength of dataseries "aia.lev1_euv_12s" starting from 7/1/16 and lasting 1 minute.
>>> fetch.fetch('aia.lev1_euv_12s', start=datetime.datetime(2016,7,1),
end_or_span='1m', wavelengths=304, segments='image',
keys=['DATE__OBS', 'DATAMEAN'], headers=True)
[['DATE__OBS', 'DATAMEAN', 'image'],
['2016-07-01T00:00:06.12Z', '6.01', '/SUM4/D832941546/S00000/image_lev1.fits'],
['2016-07-01T00:00:18.13Z', '6.02', '/SUM15/D832941548/S00000/image_lev1.fits'],
['2016-07-01T00:00:30.12Z', '6.02', '/SUM42/D832941570/S00000/image_lev1.fits'],
['2016-07-01T00:00:42.13Z', '6.03', '/SUM33/D832941550/S00000/image_lev1.fits'],
['2016-07-01T00:00:54.12Z', '6.02', '/SUM8/D832941640/S00000/image_lev1.fits']]Return the above as a pandas.DataFrame object:
>>> fetch.fetch('aia.lev1_euv_12s', start=datetime.datetime(2016,7,1),
end_or_span='1m', wavelengths=304, segments='image',
keys=['DATE__OBS', 'DATAMEAN'], headers=True, df=True) DATE__OBS DATAMEAN image
0 2016-07-01T00:00:06.12Z 6.01 /SUM4/D832941546/S00000/image_lev1.fits
1 2016-07-01T00:00:18.13Z 6.02 /SUM15/D832941548/S00000/image_lev1.fits
2 2016-07-01T00:00:30.12Z 6.02 /SUM42/D832941570/S00000/image_lev1.fits
3 2016-07-01T00:00:42.13Z 6.03 /SUM33/D832941550/S00000/image_lev1.fits
4 2016-07-01T00:00:54.12Z 6.02 /SUM8/D832941640/S00000/image_lev1.fits