I have arrays of 8-20 rows and 230,000 column, all the data is float64
I what to be able to find the difference in the correlation matrix between arrays
let A and B be of size (10, 230000)
np.corrcoef(a)-np.corrcoef(b)
I can't seem to do this with more than 10000 columns at a time because of memory limitations. (about 9GB usable to python)
Is there a better way?
I also have problem finding the column means which is surprising to me, I was not able to get the column means for 10000 columns, but I can computer the corrcoeff ?
np.mean(a, axis=0)
Do I just need to divide up the job or is there a better approach?
Thanks
