from __future__ import print_function
import sys, os
import PySCRIP as scrip
from PySCRIP.config import PySCRIPConfig
from netCDF4 import Dataset
import numpy as np
from matplotlib import pylab as plt
a = PySCRIPConfig()
# Mapping part
ncfile = Dataset("testdata/cesmpifv1mts_cam_mapping_testdata.nc", "r")
src_array = ncfile.variables["TS"][:, :]
print(src_array.shape)
dest = scrip.remap(
src_array,
"/Users/dchandan/Research/CESM/bc/cesmpifv1mts/cpl_s2/wrkdir/map_fv1-gx1_a_cesmpifv1_130513.nc",
fformat="ncar-csm")
print(dest.shape)
print(src_array.min(), src_array.max())
print(dest.min(), dest.max())
plt.figure()
plt.imshow(np.flipud(src_array[0, :]))
plt.colorbar()
plt.figure()
plt.imshow(np.flipud(dest))
plt.colorbar()
import sys, os
import PySCRIP as scrip
from PySCRIP.config import PySCRIPConfig
from netCDF4 import Dataset
import numpy as np
from matplotlib import pylab as plt
a = PySCRIPConfig()
# for maptype in a.maptype:
# print maptype
# for map_ in getattr(a.maptype, maptype):
# print a.mapfile(map_["from"], map_["to"], maptype=maptype)
# # print map_
case = "PlioMIP_Eoi400_N"
maptype = "conservative"
g1 = "gx1"
g2 = "ll1"
# print(a.getmap(case, maptype, g1, g2).fname)
# scrip.compute_remap_weights("/Users/dchandan/Research/PlioTopo/gencesmbc/prism4_N/cpl_s2/grids/fv0.9x1.25_070727.nc",
# "/Users/dchandan/Development/PySCRIP/grids/ll1deg_grid.nc",
# a.getmap(case, maptype, g1, g2).fname,
# a.getmap(case, maptype, g2, g1).fname,
# a.getmap(case, maptype, g1, g2).name,
# a.getmap(case, maptype, g2, g1).name,
# 2,
import PySCRIP as scrip
from PySCRIP.config import PySCRIPConfig
from netCDF4 import Dataset
import numpy as np
from matplotlib import pylab as plt
a = PySCRIPConfig()
# Mapping part
ncfile = Dataset("testdata/cesmpifv1mts_pop_mapping_testdata.nc", "r")
src_array = ncfile.variables["SSH"][:,:]
print(src_array.shape)
dest = scrip.remap(src_array, a.mapFile("cesmpifv1mts", "conservative", "gx1", "fv1"))
print(dest.shape)
print(src_array.min(), src_array.max())
print(dest.min(), dest.max())
plt.figure()
plt.imshow(np.flipud(src_array[0,:]))
plt.colorbar()
# from IPython import embed
# print type(dest)
# embed()
# plt.imshow(dest.mask)
# plt.show()
# print np.where(dest > src_array.max())
import PySCRIP as scrip
from PySCRIP.config import PySCRIPConfig
from netCDF4 import Dataset
import numpy as np
from matplotlib import pylab as plt
a = PySCRIPConfig()
# Mapping part
ncfile = Dataset("testdata/cesmpifv1mts_pop_mapping_testdata.nc", "r")
src_array = ncfile.variables["SSH"][:, :]
print(src_array.shape)
dest = scrip.remap(src_array,
a.mapFile("cesmpifv1mts", "conservative", "gx1", "fv1"))
print(dest.shape)
print(src_array.min(), src_array.max())
print(dest.min(), dest.max())
plt.figure()
plt.imshow(np.flipud(src_array[0, :]))
plt.colorbar()
# from IPython import embed
# print type(dest)
# embed()
# plt.imshow(dest.mask)
# plt.show()
# print np.where(dest > src_array.max())
# print dest[-1,:]
