jklymak

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

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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)

jklymak

jklymak

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)

jklymak

import os
import glob

TODO = 'LWRegrid2full01U10'

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

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

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0 "Cover Page" 1 open
0 "Nomination Letter" 2
0 "Referee Letters" 3
1 "Writer 1" 3
1 "Writer 2" 5
0 "CV" 7
1 "Education and Training" 7
1 "Degrees" 7
1 "Postdoctoral experience" 7
1 "Academic positions" 7

jklymak

jklymak

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]))

jklymak

#!/u/home/jklymak/miniconda2/bin/python
#PBS -m be
#PBS -M [email protected]
#PBS -l select=1:ncpus=1
#PBS -l walltime=00:00:10
#PBS -q transfer
#PBS -A XXXXXXXXXXX
#PBS -j oe
#PBS -N Test

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