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| 1 | +#!/usr/bin/env python |
| 2 | + |
| 3 | +import numpy as np |
| 4 | +import matplotlib.pyplot as plt |
| 5 | +import scipy.io.netcdf as netcdf |
| 6 | +plt.ion() |
| 7 | + |
| 8 | + |
| 9 | +# x,y subsampling (1: no sub sampling, 2: every two points, etc) |
| 10 | +sp_xy = 1 |
| 11 | +# select layer (0: upper layer) |
| 12 | +ilayer = 0 |
| 13 | + |
| 14 | +dir0 = '../examples/double_gyre_ocean_only/outdata/' |
| 15 | +file0 = 'ocpo.nc' |
| 16 | +file1 = 'ocpo.dat' |
| 17 | +file2 = 'mean.dat' |
| 18 | + |
| 19 | +fid1 = open(dir0 + file1,'wb') |
| 20 | + |
| 21 | +# get sizes |
| 22 | +f = netcdf.netcdf_file(dir0 + file0,'r') |
| 23 | +psi = f.variables['p'][0,0,:,:].copy() |
| 24 | +xp = f.variables['xp'][:].copy() |
| 25 | +yp = f.variables['yp'][:].copy() |
| 26 | +zi = f.variables['zi'][:].copy() |
| 27 | + |
| 28 | +time = f.variables['time'][:].copy() |
| 29 | +si_t, = time.shape |
| 30 | +newt = f.variables['p'][:,0,1,1].copy() |
| 31 | +newt = newt[newt<1e5] |
| 32 | +si_t2 = newt.size |
| 33 | + |
| 34 | +si_y,si_x = psi.shape |
| 35 | + |
| 36 | +# compute mean |
| 37 | +psi_me = 0.0*np.zeros((si_y,si_x)) |
| 38 | +n_me = 0 |
| 39 | +for nt in range(0,si_t2): |
| 40 | + psi = f.variables['p'][nt,ilayer,:,:].copy() |
| 41 | + psi_me = psi_me + psi |
| 42 | + n_me = n_me + 1 |
| 43 | + psi_sav = psi[0:-1:sp_xy,0:-1:sp_xy].reshape(-1) |
| 44 | + np.savetxt(fid1, psi_sav[None],fmt='%10.5e') |
| 45 | + |
| 46 | +# save mean |
| 47 | +psi_me = psi_me/n_me |
| 48 | +np.savetxt(dir0 + file2, psi_me[0:-1:sp_xy,0:-1:sp_xy]) |
| 49 | + |
| 50 | +# close files |
| 51 | +f.close() |
| 52 | +fid1.close() |
| 53 | + |
| 54 | +# plot |
| 55 | +plt.figure() |
| 56 | +plt.contour(psi_me) |
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