Similar to netCDF4.Dataset but approaches OpenDAP directory with successing netCDF files as if it were a single netCDF file. It parses the catalog.xml file to obtain an index of all available netCDF files. If the first dimension of a variable is a time dimension, the entire dataset can be indexed using datatime objects rather than indices.
url = 'http://opendap.deltares.nl/thredds/catalog/opendap/tudelft/thermal_ir/kijkduin/'
with OpenDAP.Dataset(url) as nc:
dt1 = datetime.datetime(2013,6,1)
dt1 = datetime.datetime(2013,6,5)
df = nc.variables['temperature'][dt1:dt2:10,:,192]
# plot timestack
fig, axs = subplots()
axs.matshow(df, cmap='coolwarm')- Dimension object is not yet implemented
- Datetime slicing with timedelta steps is not yet implemented
- NetCDF4.Dataset functions need to be piped