Hi, Is the following behaviour of astype() intentional in NumPy 1.0?
>>> x = array([1,2,3]) >>> x.astype(None) array([ 1., 2., 3.]) That is, the int32 is converted to float64. J. Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm ------------------------------------------------------------------------- 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
