Hi, I'm trying to help a user to migrate from Numeric to numpy. I found reference to alter_code1.py on http://numpy.scipy.org/old_array_packages.html.
First I tried the conversion script: # python2.6 /path/to/alter_code1.py test.py and alternatively # python2.6 /path/to/alter_code1.py ./ This didn't modify test.py at all. Then I tried to convert from within Python: # python2.6 Python 2.6.2 (r262:71600, Aug 5 2010, 14:21:11) [GCC 4.4.4] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy.numarray.alter_code1 as noa >>> noa.convertfile("test.py") >>> ^D # This modified test.py, but only partially. E.g. the import line was still untouched, meaning that it still imported Numeric instead of numpy: # diff ../test-original.py test.py 0a1,2 > ## Automatically adapted for numpy.numarray Oct 06, 2010 by > 49c51 < pyfid.byteswap() --- > pyfid.byteswap(True) 74c76 < databin.byteswap() --- > databin.byteswap(True) # After I've changed 'import os, string, array, Numeric' to 'import os, string, array, numpy' I realized, that the conversion had introduced errors: # python2.6 ./test.py <command line parameters> Traceback (most recent call last): File "./test.py", line 115, in <module> combineser3D(td3,td2,td1,ser,ser1,fidnum) File "./test.py", line 21, in combineser3D allser1=readBrukerSer(tdall,td3,ser) File "./test.py", line 51, in readBrukerSer pyfid.byteswap(True) TypeError: byteswap() takes no arguments (1 given) # So either this method doesn't work (any more) or I am doing something wrong. Are there other ways for a transition from Numeric to numpy? The numpy version we are using is 1.4.1 with Python 2.6.2 from python.org. Any help regarding this is highly appreciated. Thanks in advance frank P.S.: I've posted almost the same request as "alter_code1.py doesn't convert (any more)?" on October 6. Since I haven't received any answer I'm trying again with a - hopefully - more attracting subject ;-) _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion