def __init__(self, paths):
self.paths = paths
self.table = {initial_time(p): p for p in paths}
self.initial_times = np.array([initial_time(p) for p in paths],
dtype='datetime64[s]')
with netCDF4.Dataset(self.paths[0]) as dataset:
if "pressure" in dataset.variables:
self.pressures = dataset.variables["pressure"][:]
else:
self.pressures = None
self.pressure_variables = self.load_heights(dataset)
def __init__(self, paths):
self.paths = paths
self.table = defaultdict(list)
for path in paths:
time = initial_time(path)
if time is None:
try:
with netCDF4.Dataset(path) as dataset:
var = dataset.variables["forecast_reference_time"]
time = netCDF4.num2date(var[:], units=var.units)
except KeyError:
continue
self.table[self.key(time)].append(path)