Jody Klymak jklymak

## renamexarray.py

dlat = dlat.rename({'latb':'lat'})
dlat['lat'].data = data['lat'].data

## writeable_mds_store.py
class writable_mds_store:
    '''
    This will write each chunk to a binary file.  Really only works if chunks are the k-index of the matrix
    '''
    def __init__(self, prefix, itern, suffix='data', dtype='>f4'):
        self.prefix = prefix
        self.itern = itern
        self.suffix = suffix
        self.dtype = dtype
        self.fname = '%s.%010d.%s' % (self.prefix, self.itern, self.suffix)

## gendata_justregrid.py
coarsename = '/scr/jklymak/LeeCoarse/coarse3d%s01U10/_Model/input/'%runtype
print(coarsename)

def interpolateAtDepth(X,T,x0,y0,x,y,defaultval,block_id=None):
    import scipy.interpolate
    good = np.where(T[0,0,:,:]>20.)
    bad = np.where(T[0,0,:,:]<=20.)
    Tt = X.copy()[0,0,:,:]
    print(Tt)
    #print(good)

## cleanup.py
import os
import glob

TODO = 'LWRegrid2full01U10'

Root = '../results/'+TODO+'/_Model/input/'

print(Root)
dd = glob.glob(Root+'S.*')
print(dd)

## ExampleLegend.ipynb

      
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              March 7, 2017 17:12
            
              
                matplotlib: Make legend labels be aligned for a table...
              
          
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## Untitled.ipynb

      
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                jklymak
                / Untitled.ipynb
            
            
              Created
              February 6, 2017 05:18
                — forked from rabernat/Untitled.ipynb
            
          
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## parsegrades.py
import pandas

df = pandas.read_excel('ClassListGradeEntry_07-02-2017_11-15-08_AM.xls')

for ii in range(6):
    for col in range(len(df.loc[ii])-2):
        if (col in [11,15]):
            print('--------------------------------------------------------------')
        if col in [0,1,16]:
            print('%20s: %20s'%(df.keys()[col],df.loc[ii][col]))

## runModel.py
#!/u/home/jklymak/miniconda2/bin/python
#PBS -m be
#PBS -M jklymak@gmail.com
#PBS -l select=1:ncpus=1
#PBS -l walltime=00:00:10
#PBS -q transfer
#PBS -A XXXXXXXXXXX
#PBS -j oe
#PBS -N Test

## ColorbarYTicks.ipynb

      
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                / ColorbarYTicks.ipynb
            
            
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              June 7, 2017 20:12
            
              
                colorbar y ticks
              
          
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## MVPTranslate.ipynb

      
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                jklymak
                / MVPTranslate.ipynb
            
            
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              June 28, 2017 15:08
            
              
                Make CF-compliant netcdf MVP files
              
          
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	dlat = dlat.rename({'latb':'lat'})
	dlat['lat'].data = data['lat'].data
	class writable_mds_store:
	'''
	This will write each chunk to a binary file. Really only works if chunks are the k-index of the matrix
	'''
	def __init__(self, prefix, itern, suffix='data', dtype='>f4'):
	self.prefix = prefix
	self.itern = itern
	self.suffix = suffix
	self.dtype = dtype
	self.fname = '%s.%010d.%s' % (self.prefix, self.itern, self.suffix)
	coarsename = '/scr/jklymak/LeeCoarse/coarse3d%s01U10/_Model/input/'%runtype
	print(coarsename)

	def interpolateAtDepth(X,T,x0,y0,x,y,defaultval,block_id=None):
	import scipy.interpolate
	good = np.where(T[0,0,:,:]>20.)
	bad = np.where(T[0,0,:,:]<=20.)
	Tt = X.copy()[0,0,:,:]
	print(Tt)
	#print(good)
	import os
	import glob

	TODO = 'LWRegrid2full01U10'

	Root = '../results/'+TODO+'/_Model/input/'

	print(Root)
	dd = glob.glob(Root+'S.*')
	print(dd)
	import pandas

	df = pandas.read_excel('ClassListGradeEntry_07-02-2017_11-15-08_AM.xls')

	for ii in range(6):
	for col in range(len(df.loc[ii])-2):
	if (col in [11,15]):
	print('--------------------------------------------------------------')
	if col in [0,1,16]:
	print('%20s: %20s'%(df.keys()[col],df.loc[ii][col]))
	#!/u/home/jklymak/miniconda2/bin/python
	#PBS -m be
	#PBS -M jklymak@gmail.com
	#PBS -l select=1:ncpus=1
	#PBS -l walltime=00:00:10
	#PBS -q transfer
	#PBS -A XXXXXXXXXXX
	#PBS -j oe
	#PBS -N Test