<gh_stars>10-100
"""
Glue outputs into a single binary file

<NAME>
<<EMAIL>>
Scripps Institution of Oceanography
August 26, 2015 """


import glob,os,sys
import numpy as np

#change this to the path of the data output   
folder='/home/jwang0/temp_project/offline_particle/sose100/DP/run/'

#you can glue one case or multi-cases at the same time, 'DIMES_0001' etc. are casenames
casenames=['DIMES_0001','DIMES_0002','DIMES_0003']
casenames=['DIMES_0006']

#specify particle numbers and case numbers (the NPP value in the namelist) here:
npts=5000
npp=73

#you don't need to change the following.
varn=['XYZ','MLD','TSG','GRAD']
nn = [3,1,4,4]
for cn in casenames:
    for i in range(1,npp+1):
        casename='%s_%04i'%(cn,i)
        for iv,var in enumerate(varn):
            fns=sorted(glob.glob(folder+casename+'.%s.*.data'%var))
            print casename,var,"total %i files"%len(fns)
            f=open('filenames_%s'%casename,'w')
            n=nn[iv]
            d=np.fromfile(fns[0],'>f4')
            print d.shape,n
            d=d.reshape(n,npts)
            nxy,nopt=d.shape
            del d
            t0=fns[0].split('.')[-2]
            t1=fns[-1].split('.')[-2]
            print t0,t1
            dds=np.memmap(casename+'.%s.%s.%s.data'%(var,t0,t1),dtype='>f4',shape=(len(fns),n,nopt),mode='write')
            for i in range(len(fns)):
                d=np.fromfile(fns[i],'>f4').reshape(n,-1)
                f.writelines(fns[i])
                dds[i,...]=d
                del d
            f.close()
            del dds,


"""
Glue outputs into a single binary file

<NAME>
<<EMAIL>>
Scripps Institution of Oceanography
August 26, 2015 """


import glob,os,sys
import numpy as np

#change this to the path of the data output   
folder='/home/jwang0/temp_project/offline_particle/sose100/DP/run/'

#you can glue one case or multi-cases at the same time, 'DIMES_0001' etc. are casenames
casenames=['DIMES_0001','DIMES_0002','DIMES_0003']
casenames=['DIMES_0006']

#specify particle numbers and case numbers (the NPP value in the namelist) here:
npts=5000
npp=73

#you don't need to change the following.
varn=['XYZ','MLD','TSG','GRAD']
nn = [3,1,4,4]
for cn in casenames:
    for i in range(1,npp+1):
        casename='%s_%04i'%(cn,i)
        for iv,var in enumerate(varn):
            fns=sorted(glob.glob(folder+casename+'.%s.*.data'%var))
            print casename,var,"total %i files"%len(fns)
            f=open('filenames_%s'%casename,'w')
            n=nn[iv]
            d=np.fromfile(fns[0],'>f4')
            print d.shape,n
            d=d.reshape(n,npts)
            nxy,nopt=d.shape
            del d
            t0=fns[0].split('.')[-2]
            t1=fns[-1].split('.')[-2]
            print t0,t1
            dds=np.memmap(casename+'.%s.%s.%s.data'%(var,t0,t1),dtype='>f4',shape=(len(fns),n,nopt),mode='write')
            for i in range(len(fns)):
                d=np.fromfile(fns[i],'>f4').reshape(n,-1)
                f.writelines(fns[i])
                dds[i,...]=d
                del d
            f.close()
            del dds,
Glue outputs into a single binary file  <NAME> <<EMAIL>> Scripps Institution of Oceanography August 26, 2015 #change this to the path of the data output #you can glue one case or multi-cases at the same time, 'DIMES_0001' etc. are casenames #specify particle numbers and case numbers (the NPP value in the namelist) here: #you don't need to change the following.