More efficient array processing

[John [H2O]]

Hello,

I'm trying to do the following:

datagrid = numpy.zeros(360,180,3,73,20)

But I get an error saying that the dimensions are too large? Is there a
memory issue here?

So, my workaround is this:

numpoint = 73

datagrid = numpy.zeros(360,180,3,73,1)

for np in range(numpoint):
  datagrid[:,:,:,np,0] = datagrid[:,:,:,np,0] + concgrid[:,:,:,np,0]

But this is SLOW.. what can I do to increase efficiency here? Is there a way
to create the larger array? The program loops through several days actually,
filling the 5th dimension. Eventually I just sum the 5th dimension anyway
(as done in the loop of the workaround).

Thanks!
john


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