I am building data simulation framework with numpy ORM, where it is much more convenient to work with classes and objects instead of numpy arrays directly. Nevertheless, output of the simulation should be numpy array. Also blockz is quite interesting as a backend here. I would like to map all object attributes to numpy arrays. Thus, numpy arrays…

Numpy_by_reference.py

a = np.arange(10)
class Case():
    def __init__(self, gcv_pointer):
        self.gcv = gcv_pointer

    def gcv(self):
        return(self.gcv)

    def gcv_set(self, value):
        self.gcv[:] = value
pass
#===============================================================================
# NumPy
#===============================================================================
caseList = []
for i in range(1, 10):
    case = Case(a[i-1:i])
    caseList.append(case)
gcvs = [case.GetGCV() for case in caseList]
caseList[1].SetGCV(5)
caseList[1].SetGCV(13)
caseList[1].gcv[:] = 6

setattr(caseList[1], 'dpd', a[5:6])

caseList[1].dpd
caseList[1].dpd[:] = 888