Dear all, After a few tests, I think I will need to correct a bit my question. I will give an example here.
I have file 1 with 250 lines: X1,Y1,Z1 X2,Y2,Z2 .... Then I have file 2 with 3M lines: X1,Y1,Z1,value11,value12, value13,.... X2,Y2,Z2,value21,value22, value23,... .... I will need to interpolate values for the coordinates on file 1 from file 2. (using nearest) I am using the scipy.griddata for this. scipy.interpolate.griddata(points, values, xi, method='linear', fill_value=nan, rescale=False) When slicing the code, reading files in to numpy is not the culprit, but the griddata is. time to read file2= 2 min time to interpolate= 48 min I need to repeat the griddata above to get interpolation for each of the column of values. I was wondering if there are any ways to improve the time spent in interpolation. Thank you very much in advance for your help, -- https://mail.python.org/mailman/listinfo/python-list
