Hello, I would like to discuss the following code:
#***start*** import numpy as N a = N.array((200), dtype = N.uint8) print (a * 100) / 100 b = N.array((200, 200), dtype = N.uint8) print (b * 100) / 100 #***stop*** The first print statement will print "200" because the uint8-value is cast "upwards", I suppose. The second statement prints "[0 0]". I suppose this is due to overflows during the calculation. How can I tell numpy to do the upcast also in the second case, returning "[200 200]"? I am interested in the fastest solution regarding execution time. In my application I would like to store the result in an Numeric.UInt8-array. Thanks for every comment Lars ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
