[Numpy-discussion] Flattening an array
Tue Dec 8 18:29:47 CST 2009
I have a function -- call it f() -- which takes a length-N 1D numpy
array as an argument, and returns a length-N 1D array.
I want to pass it the data in an N-D array, and obtain the N-D array
of the result.
I've thought about wrapping it as such:
from my_module import f # takes a 1D array, raises an exception otherwise
A_1D = A.ravel()
B = f(A_1D)
I expect A to be contiguous in memory, but I don't know if it will be
C_CONTIGUOUS or F_CONTIGUOUS. Is there a way to implement this such
1) the data in the arrays A and B_1D are not copied (memory issues)
2) the function f is only called once (speed issues)?
The above implementation appears to copy data if A is fortran-ordered.
Thanks for the help
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