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from netCDF4 import Dataset
import json
# example showing how python objects (lists, dicts, None, True)
# can be serialized as strings, saved as netCDF attributes,
# and then converted back to python objects using json.
ds = Dataset('json.nc', 'w')
ds.pythonatt1 = json.dumps(['foo', {'bar': ['baz', None, 1.0, 2]}])
ds.pythonatt2 = "true" # converted to bool
ds.pythonatt3 = "null" # converted to None
print(ds)
ds.close()
ds = Dataset('json.nc')
def convert_json(s):
try:
a = json.loads(s)
return a
except:
return s
x = convert_json(ds.pythonatt1)
print(type(x))
print(x)
print(convert_json(ds.pythonatt2))
print(convert_json(ds.pythonatt3))
ds.close()
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