[Numpy-discussion] multiple 2d vs n-dimensional arrays
Fri Sep 10 13:40:54 CDT 2010
I'm keeping a large number of data points in multiple 2d arrays, for
self.a = np.zeros((24, 60))
self.b = np.zeros((24, 60))
After processing the data, I'm serializing these to disk for future
reference/post-processing. It's a largish amount of data and is only
going to get larger.
Would it be more efficient (in terms of memory/disk storage to use a
single n-dimensional array:
self.a = np.zeros((24, 60, 5))
What other advantages (if any) would I gain from storing the data in a
single array rather than multiple? The deeper into this project I get,
the more I am probably going to need to correlate data points from one
or more of the arrays to one or more of the other arrays.
I think I just answered my own question...
You know you're a geek when you can hold an entire conversation with friends in linux CLI talk, i.e. 'cat /proc/lookattheassonthat!' or 'cd /pub/beer'
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