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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) |
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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) |
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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 |
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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])) |
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#!/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 |
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