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,:]
