def runTest(self):
# Get the real dates
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
dates = []
for file in self.files:
f = Dataset(file)
t = f.variables['time']
dates.extend(num2date(t[:], t.units, t.calendar))
f.close()
# Compare with the MF dates
f = MFDataset(self.files,check=True)
t = f.variables['time']
mfdates = num2date(t[:], t.units, t.calendar)
T = MFTime(t)
assert_equal(len(T), len(t))
assert_equal(T.shape, t.shape)
assert_equal(T.dimensions, t.dimensions)
assert_equal(T.typecode(), t.typecode())
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
assert_array_equal(num2date(T[:], T.units, T.calendar), dates)
assert_equal(date2index(datetime.datetime(1980, 1, 2), T), 366)
f.close()
def runTest(self):
# Get the real dates
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
dates = []
for file in self.files:
f = Dataset(file)
t = f.variables['time']
dates.extend(cftime.num2date(t[:], t.units, t.calendar))
f.close()
# Compare with the MF dates
f = MFDataset(self.files, check=True)
t = f.variables['time']
mfdates = cftime.num2date(t[:], t.units, t.calendar)
T = MFTime(t)
assert_equal(len(T), len(t))
assert_equal(T.shape, t.shape)
assert_equal(T.dimensions, t.dimensions)
assert_equal(T.typecode(), t.typecode())
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
assert_array_equal(cftime.num2date(T[:], T.units, T.calendar),
dates)
assert_equal(cftime.date2index(datetime.datetime(1980, 1, 2), T), 366)
f.close()
def runTest(self):
# The test files have no calendar attribute on the time variable.
calendar = 'standard'
# Get the real dates
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
dates = []
for file in self.files:
f = Dataset(file)
t = f.variables['time']
dates.extend(num2date(t[:], t.units, calendar))
f.close()
# Compare with the MF dates
f = MFDataset(self.files, check=True)
t = f.variables['time']
T = MFTime(t, calendar=calendar)
assert_equal(T.calendar, calendar)
assert_equal(len(T), len(t))
assert_equal(T.shape, t.shape)
assert_equal(T.dimensions, t.dimensions)
assert_equal(T.typecode(), t.typecode())
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
assert_array_equal(num2date(T[:], T.units, T.calendar), dates)
assert_equal(date2index(datetime.datetime(1980, 1, 2), T), 366)
f.close()
# Test exception is raised when no calendar attribute is available on the
# time variable.
with MFDataset(self.files, check=True) as ds:
with self.assertRaises(ValueError):
MFTime(ds.variables['time'])
# Test exception is raised when the calendar attribute is different on the
# variables. First, add calendar attributes to file. Note this will modify
# the files inplace.
calendars = ['standard', 'gregorian']
for idx, f in enumerate(self.files):
with Dataset(f, 'a') as ds:
ds.variables['time'].calendar = calendars[idx]
with MFDataset(self.files, check=True) as ds:
with self.assertRaises(ValueError):
MFTime(ds.variables['time'])
def runTest(self):
# The test files have no calendar attribute on the time variable.
calendar = 'standard'
# Get the real dates
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
dates = []
for file in self.files:
f = Dataset(file)
t = f.variables['time']
dates.extend(num2date(t[:], t.units, calendar))
f.close()
# Compare with the MF dates
f = MFDataset(self.files,check=True)
t = f.variables['time']
T = MFTime(t, calendar=calendar)
assert_equal(T.calendar, calendar)
assert_equal(len(T), len(t))
assert_equal(T.shape, t.shape)
assert_equal(T.dimensions, t.dimensions)
assert_equal(T.typecode(), t.typecode())
# skip this until cftime pull request #55 is in a released
# version (1.0.1?). Otherwise, fix for issue #808 breaks this
if parse_version(cftime.__version__) >= parse_version('1.0.1'):
assert_array_equal(num2date(T[:], T.units, T.calendar), dates)
assert_equal(date2index(datetime.datetime(1980, 1, 2), T), 366)
f.close()
# Test exception is raised when no calendar attribute is available on the
# time variable.
with MFDataset(self.files, check=True) as ds:
with self.assertRaises(ValueError):
MFTime(ds.variables['time'])
# Test exception is raised when the calendar attribute is different on the
# variables. First, add calendar attributes to file. Note this will modify
# the files inplace.
calendars = ['standard', 'gregorian']
for idx, f in enumerate(self.files):
with Dataset(f, 'a') as ds:
ds.variables['time'].calendar = calendars[idx]
with MFDataset(self.files, check=True) as ds:
with self.assertRaises(ValueError):
MFTime(ds.variables['time'])
def runTest(self):
# Get the real dates
dates = []
for file in self.files:
f = Dataset(file)
t = f.variables['time']
dates.extend(num2date(t[:], t.units, t.calendar))
f.close()
# Compare with the MF dates
f = MFDataset(self.files,check=True)
t = f.variables['time']
mfdates = num2date(t[:], t.units, t.calendar)
T = MFTime(t)
assert_equal(len(T), len(t))
assert_equal(T.shape, t.shape)
assert_equal(T.dimensions, t.dimensions)
assert_equal(T.typecode(), t.typecode())
assert_array_equal(num2date(T[:], T.units, T.calendar), dates)
assert_equal(date2index(datetime.datetime(1980, 1, 2), T), 366)
def runTest(self):
# Get the real dates
dates = []
for file in self.files:
f = Dataset(file)
t = f.variables['time']
dates.extend(num2date(t[:], t.units, t.calendar))
f.close()
# Compare with the MF dates
f = MFDataset(self.files, check=True)
t = f.variables['time']
mfdates = num2date(t[:], t.units, t.calendar)
T = MFTime(t)
assert_equal(len(T), len(t))
assert_equal(T.shape, t.shape)
assert_equal(T.dimensions, t.dimensions)
assert_equal(T.typecode(), t.typecode())
assert_array_equal(num2date(T[:], T.units, T.calendar), dates)
assert_equal(date2index(datetime.datetime(1980, 1, 2), T), 366)
def _read_tcoord(self):
""" Read time coordinate information from netcdf file(s) """
nc = self._opennc(self.f)
t = nc.variables[self.tcoord]
if len(glob.glob(self.f)) > 1:
try:
self.dates = num2date(MFTime(t)[:], calendar=t.calendar, units=t.units)
except:
print 'netcdf4.MFTime incompatible with NETCDF4. Try concatenating data into a single file.'
raise NetCDF4ERROR(err)
else:
self.dates = num2date(t[:], calendar=t.calendar, units=t.units)
def get_time_data(options):
"""This function fetches the time and calendar data from the input netcdf files.
The argument is the options object, which contains the tmaxfile filename.
Returns a TimeData object containing a collection of variables.
"""
timedata = TimeData()
if options.tmaxfile:
filename = options.tmaxfile
elif options.tminfile:
filename = options.tminfile
if any([(wildcard in filename) for wildcard in ['*', '?', '[']]):
tempnc = MFDataset(filename, 'r')
nctime = tempnc.variables[options.timevname]
nctime = MFTime(nctime)
else:
tempnc = Dataset(filename, 'r')
nctime = tempnc.variables[options.timevname]
try:
timedata.calendar = nctime.calendar
except:
timedata.calendar = 'proleptic_gregorian'
if not timedata.calendar:
print('Unrecognized calendar. Using gregorian.')
timedata.calendar = 'gregorian'
if timedata.calendar == '360_day':
timedata.daysinyear = 360
# 360 day season start and end indices
timedata.SHS = (300, 450)
timedata.SHW = (120, 270)
timedata.dayone = nc.num2date(nctime[0],
nctime.units,
calendar=timedata.calendar)
timedata.daylast = nc.num2date(nctime[-1],
nctime.units,
calendar=timedata.calendar)
timedata.dates = Calendar360(timedata.dayone, timedata.daylast)
else:
timedata.daysinyear = 365
# 365 day season start and end indices
timedata.SHS = (304, 455)
timedata.SHW = (120, 273)
if tempnc.variables[options.timevname].units == 'day as %Y%m%d.%f':
st = str(int(nctime[0]))
nd = str(int(nctime[-1]))
timedata.dayone = dt.datetime(int(st[:4]), int(st[4:6]),
int(st[6:]))
timedata.daylast = dt.datetime(int(nd[:4]), int(nd[4:6]),
int(nd[6:]))
else:
timedata.dayone = nc.num2date(nctime[0],
nctime.units,
calendar=timedata.calendar)
timedata.daylast = nc.num2date(nctime[-1],
nctime.units,
calendar=timedata.calendar)
timedata.dates = pd.period_range(str(timedata.dayone),
str(timedata.daylast))
# Remove leap days. Maybe this should be a separate function?
timedata.noleapdates = timedata.dates[(timedata.dates.month != 2) |
(timedata.dates.day != 29)]
return timedata
def load_bp_data(options, timedata, variable='tmax', mask=None):
"""load_bp_data loads the tmax or tmin data for the baseperiod provided in options."""
# Determine if we need tmax or tmin and whether the data are in multiple files.
if variable == 'tmax':
if options.bpfx: files = options.bpfx
else: files = options.tmaxfile
varname = options.tmaxvname
elif variable == 'tmin':
if options.bpfn: files = options.bpfn
else: files = options.tminfile
varname = options.tminvname
# Load ncfile depending on multi or single-file
if any([(wildcard in files) for wildcard in ['*', '?', '[']]):
tempnc = MFDataset(files, 'r')
bptime = tempnc.variables[options.timevname]
bptime = MFTime(bptime)
else:
tempnc = Dataset(files, 'r')
bptime = tempnc.variables[options.timevname]
# Define the base period
if tempnc.variables[options.timevname].units == 'day as %Y%m%d.%f':
st = str(int(bptime[0]))
nd = str(int(bptime[-1]))
bpdayone = dt.datetime(int(st[:4]), int(st[4:6]), int(st[6:]))
bpdaylast = dt.datetime(int(nd[:4]), int(nd[4:6]), int(nd[6:]))
else:
bpdayone = nc.num2date(bptime[0],
bptime.units,
calendar=timedata.calendar)
bpdaylast = nc.num2date(bptime[-1],
bptime.units,
calendar=timedata.calendar)
if timedata.calendar == '360_day':
bpdates = Calendar360(bpdayone, bpdaylast)
else:
bpdates = pd.period_range(str(bpdayone), str(bpdaylast))
if timedata.calendar == '365_day':
bpdates = bpdates[(bpdates.month != 2) | (bpdates.day != 29)]
dates_base = bpdates[(options.bpstart <= bpdates.year)
& (bpdates.year <= options.bpend)]
temp = tempnc.variables[varname][(options.bpstart <= bpdates.year)
& (bpdates.year <= options.bpend)]
if len(temp.shape) == 4: temp = temp.squeeze()
if options.maskfile:
temp = temp[:, mask]
if tempnc.variables[varname].units == 'K': temp -= 273.15
# Remove leap days in gregorian calendars
if (timedata.calendar == 'gregorian') | (
timedata.calendar == 'proleptic_gregorian') | (timedata.calendar
== 'standard'):
temp = temp[(dates_base.month != 2) | (dates_base.day != 29), ...]
tempnc.close()
return temp
def _read_tcoord(self):
""" Read time coordinate information from netcdf file(s) """
nc = MFDataset(self.f)
t = nc.variables[self.tcoord]
self.dates = num2date(MFTime(t)[:], calendar=t.calendar, units=t.units)
