I need to instantiate a large number of numpy arrays. The code snippet reads: def computa(self): self.variable1 = ma.zeros([self.nx, self.ny, self.nz], dtype=float) self.variable2 = ma.zeros([self.nx, self.ny, self.nz], dtype=float) self.variable3 = ma.zeros([self.nx, self.ny, self.nz], dtype=float) The problem is that this becomes uglier as the number of variables increases. Using a list is not a valid solution because it simply makes copies of the objects but does not instantiate the arrays. def computa(self): self.variables_list = [self.variable1, self.variable2, self.variable3] for variables in (self.variables_list): variables = ma.zeros([self.nx, self.ny, self.nz], dtype=float) Is there a pythonic way to group or loop over all the numpy arrays? Continue reading...
