def __new__(cls, *args, **kwargs):
# Input array is an already formed ndarray instance
longName = kwargs.pop('longName', None)
units = kwargs.pop('units', None)
missingValue = kwargs.pop('missingValue', -9999.)
obj = MaskedArray.__new__(cls, *args, **kwargs)
# Add the new attributes to the created instance
obj.longName = longName
obj.units = units
obj.missingValue = missingValue
# Finally, we must return the newly created object:
return obj
def __new__(cls, data, mask=nomask):
mat = np.matrix(data)
_data = MaskedArray.__new__(cls, data=mat, mask=mask)
return _data
def __new__(cls, data, info={}, mask=nomask):
subarr = SubArray(data, info)
_data = MaskedArray.__new__(cls, data=subarr, mask=mask)
_data.info = subarr.info
return _data
def __new__(cls, data, mask=nomask):
mat = np.matrix(data)
_data = MaskedArray.__new__(cls, data=mat, mask=mask)
return _data
def __new__(cls, data, info={}, mask=nomask):
subarr = SubArray(data, info)
_data = MaskedArray.__new__(cls, data=subarr, mask=mask)
_data.info = subarr.info
return _data
