Rich Signell rsignell-usgs

## ugly.txt
InnerDiameterOrWidth::0.1,InnerHeight::0.1,Length2dCenterToCenter::44.6743867864386,Length3dCenterToCenter::44.6768028159989,Tag::<NULL>,{StartPoint::7858.35924983374[%2C]1703.69341358077[%2C]-3.075},{EndPoint::7822.85045874375[%2C]1730.80294308742[%2C]-3.53962362760298}
InnerDiameterOrWidth::0.1,InnerHeight::0.1,Length2dCenterToCenter::57.8689351603823,Length3dCenterToCenter::57.8700464193429,Tag::<NULL>,{StartPoint::7793.52927597915[%2C]1680.91224357457[%2C]-3.075},{EndPoint::7822.85045874375[%2C]1730.80294308742[%2C]-3.43363070193163}
InnerDiameterOrWidth::0.1,InnerHeight::0.1,Length2dCenterToCenter::68.7161350545728,Length3dCenterToCenter::68.7172034962765,Tag::<NULL>,{StartPoint::7858.35924983374[%2C]1703.69341358077[%2C]-3.075},{EndPoint::7793.52927597915[%2C]1680.91224357457[%2C]-3.45819643838485}

## ugly.py
import csv
#
with open('ugly.txt', 'rb') as fin, open('output.csv', 'wb') as fout:
    reader = csv.reader(fin)
    writer = csv.writer(fout)
    for i, line in enumerate(reader):
        mysplit = [item.split('::') for item in line if item.strip()]
        if not mysplit: # blank line
            continue
        keys, vals = zip(*mysplit)

## necofs_velocity.ipynb

      
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                rsignell-usgs
                / necofs_velocity.ipynb
            
            
              Created
              March 5, 2013 18:37
            
              
                Forecast ocean currents from the NECOFS model
              
          
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## oscar_timing.ipynb

      
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                / oscar_timing.ipynb
            
            
              Created
              March 7, 2013 18:22
            
              
                OSCAR compression testing
              
          
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## Timing_time_series_extraction.ipynb

      
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                rsignell-usgs
                / Timing_time_series_extraction.ipynb
            
            
              Created
              March 15, 2013 14:53
            
              
                Timing extraction of 1D time series from aggregations of GRIB1, GRIB2 and NetCDF data
              
          
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## roms_3d.ipynb

      
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                / roms_3d.ipynb
            
            
              Created
              March 15, 2013 15:21
            
              
                ROMS 3D data demo, using a vertical section to show correct computation of 3D z values from CF-Compliant specification of ocean_s_coordinates.
              
          
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## opuls_ugrid_demo2.ipynb

      
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                / opuls_ugrid_demo2.ipynb
            
            
              Created
              March 18, 2013 15:39
            
              
                UGRID OPULS Subset Demo 2: subsetting depth on nodes and velocity on faces
              
          
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## cartopy_examples.ipynb

      
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                / cartopy_examples.ipynb
            
            
              Created
              March 20, 2013 20:20
            
              
                Cartopy examples
              
          
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## selfe_currents.ipynb

      
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                / selfe_currents.ipynb
            
            
              Created
              March 25, 2013 11:27
            
              
                Access SELFE data via OPeNDAP
              
          
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## nate001.ipynb

      
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                rsignell-usgs
                / nate001.ipynb
            
            
              Created
              March 26, 2013 17:08
            
              
                Nate Lesson 1, read date, time and temp from log file
              
          
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	InnerDiameterOrWidth::0.1,InnerHeight::0.1,Length2dCenterToCenter::44.6743867864386,Length3dCenterToCenter::44.6768028159989,Tag::<NULL>,{StartPoint::7858.35924983374[%2C]1703.69341358077[%2C]-3.075},{EndPoint::7822.85045874375[%2C]1730.80294308742[%2C]-3.53962362760298}
	InnerDiameterOrWidth::0.1,InnerHeight::0.1,Length2dCenterToCenter::57.8689351603823,Length3dCenterToCenter::57.8700464193429,Tag::<NULL>,{StartPoint::7793.52927597915[%2C]1680.91224357457[%2C]-3.075},{EndPoint::7822.85045874375[%2C]1730.80294308742[%2C]-3.43363070193163}
	InnerDiameterOrWidth::0.1,InnerHeight::0.1,Length2dCenterToCenter::68.7161350545728,Length3dCenterToCenter::68.7172034962765,Tag::<NULL>,{StartPoint::7858.35924983374[%2C]1703.69341358077[%2C]-3.075},{EndPoint::7793.52927597915[%2C]1680.91224357457[%2C]-3.45819643838485}
	import csv
	#
	with open('ugly.txt', 'rb') as fin, open('output.csv', 'wb') as fout:
	reader = csv.reader(fin)
	writer = csv.writer(fout)
	for i, line in enumerate(reader):
	mysplit = [item.split('::') for item in line if item.strip()]
	if not mysplit: # blank line
	continue
	keys, vals = zip(*mysplit)