[Numpy-discussion] How to share memory when bArr is smaller-sized than aArr
haase at msg.ucsf.edu
Mon Aug 14 19:26:33 CDT 2006
in numarray I could do this
>>> import numarray as na
>>> a = na.arange(10)
>>> b = na.array(a._data, type=na.int32, shape=8)
b would use the beginning part of a.
This is actually important for inplace FFT (where in real-to-complex-fft the
input has 2 "columns" more memory than the output)
I found that in numpy there is no shape argument in array() at all anymore !
How can this be done with numpy ?
More information about the Numpy-discussion