def test_checkDayOffsetLists(self):
self.assertEqual(monthlist((2014, 1, 31), 1), [0])
self.assertEqual(monthlist((2014, 1, 31), 2), [0, 28])
self.assertEqual(monthlist((2014, 1, 31), 24), [
0, 28, 59, 89, 120, 150, 181, 212, 242, 273, 303, 334,
365, 393, 424, 454, 485, 515, 546, 577, 607, 638, 668, 699
])
return;
def test_checkDayOffsetLists(self):
self.assertEqual(monthlist((2014, 1, 31), 1), [0])
self.assertEqual(monthlist((2014, 1, 31), 2), [0, 28])
self.assertEqual(monthlist((2014, 1, 31), 24), [
0, 28, 59, 89, 120, 150, 181, 212, 242, 273, 303, 334, 365, 393,
424, 454, 485, 515, 546, 577, 607, 638, 668, 699
])
return
def generate2D(filename, start, months, lats, lons):
cdf = Dataset(filename, 'w', format='NETCDF4')
cdf.createDimension('time', months)
times = cdf.createVariable('time', 'f8', ('time', ))
times.units = 'days since %04d-%02d-%02d 00:00:00.0' % start
times.calendar = 'gregorian'
times[:] = monthlist(start, months)
cdf.createDimension('lat', lats)
latitudes = cdf.createVariable('lat', 'f4', ('lat', ))
latitudes.units = 'degrees north'
latitudes[:] = latList(lats)
cdf.createDimension('lon', lons)
longitudes = cdf.createVariable('lon', 'f4', ('lon', ))
longitudes.units = 'degrees east'
longitudes[:] = lonList(lons)
randoms = cdf.createVariable('random', 'i4', ('time', 'lat', 'lon', ))
randoms.units = 'random values'
randoms[:] = numpy.random.randint(-5, 6, (months, lats, lons, ))
cdf.close()
return
def generate1D(filename, start, months):
cdf = Dataset(filename, 'w', format='NETCDF4')
time_dim = cdf.createDimension('time', months)
time_var = cdf.createVariable('time', 'f8', ('time', ))
random_var = cdf.createVariable('random', 'i4', ('time', ))
time_var.units = ' '.join(
['days since ', '%04d-%02d-%02d' % start, ' 00:00:00.0'])
time_var.calendar = 'gregorian'
random_var.units = 'random values'
time_var[:] = monthlist(start, months)
random_var[:] = numpy.random.randint(-5, 6, months)
cdf.close()
return
def generate1D(filename, start, months):
cdf = Dataset(filename, 'w', format='NETCDF4')
time_dim = cdf.createDimension('time', months)
time_var = cdf.createVariable('time', 'f8', ('time', ))
random_var = cdf.createVariable('random', 'i4', ('time', ))
time_var.units = ' '.join(['days since ',
'%04d-%02d-%02d' % start,
' 00:00:00.0'])
time_var.calendar = 'gregorian'
random_var.units = 'random values'
time_var[:] = monthlist(start, months)
random_var[:] = numpy.random.randint(-5,6,months)
cdf.close()
return
