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This extension would be very useful for me, except that it doesn't parse correctly when there are extra header rows.
recline.backend.parseCSV parses the data just fine, but I end up with only one field because just the first record (which is a header) is used to determine the fields.
Here is an example of my csv data:
PBO Station Position Time Series. Reference Frame : NOAM_I08
Format Version,1.1.0
4-character ID,AB01
Station name,AtkaIslandAK2007
Begin Date, 2007-05-18
End Date, 2013-05-07
Release Date, 2013-05-09
Reference position, 52.2095047957 North Latitude, -174.2047566232 East Longitude, 25.44179 meters elevation,
Date, North (mm), East (mm), Vertical (mm), North Std. Deviation (mm), East Std. Deviation (mm), Vertical Std. Deviation (mm), Quality,
2007-05-18,3.07, -2.69, 6.56, 2.06, 1.68, 6.41, final,
2007-05-19,2.36, -2.72, 3.25, 1.53, 1.33, 4.70, final,
2007-05-20,1.79, -2.43, 4.18, 1.80, 1.52, 5.63, final,
2007-05-21,-0.73, -3.04, 4.43, 1.81, 1.53, 5.64, final,
2007-05-22,1.27, -2.54, 7.52, 1.94, 1.62, 6.16, final,
2007-05-23,0.54, -3.38, 3.62, 1.98, 1.67, 6.30, final,
2007-05-24,2.52, -3.74, -1.05, 1.99, 1.68, 6.35, final,
2007-05-25,1.44, -5.38, 9.45, 1.87, 1.59, 5.79, final,
2007-05-26,1.86, -3.53, -1.26, 1.81, 1.52, 5.63, final,
2007-05-27,2.64, -2.06, -2.12, 1.85, 1.53, 5.78, final,
2007-05-28,3.06, -2.06, -5.77, 1.54, 1.33, 4.73, final,
2007-05-29,3.60, -1.75, -7.53, 1.61, 1.37, 5.00, final,
2007-05-30,-1.84, -0.90, -5.66, 1.62, 1.39, 5.02, final,
2007-05-31,-1.00, 0.14, 7.83, 1.62, 1.40, 5.12, final,
2007-06-01,-0.44, -3.47, 0.63, 1.62, 1.39, 5.02, final,
2007-06-02,-0.75, -0.64, 1.05, 1.61, 1.39, 4.82, final,
The 9th row is the "real" header row which should be used to determine the fields. Perhaps makeView in viewer.js could have an option to skip some records?
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