David Douard wrote: > On Mon, Jul 10, 2006 at 08:46:33AM -0500, Robert Kern wrote: >> Tim Hochberg wrote: >>> Nils Wagner wrote: >>>> Hi all, >>>> >>>> how can I increase the number of digits in the output of str(.) ? >>>> >>> You can't as far as I know. For floats, you can use "%.nf". For example: >>> >>> "%.13f" % 493.4802200544680 >> The problem is is that he doesn't have a float. He has one of our >> float64scalar >> objects. The str() of a real Python float will give as many digits as are >> necessary to recreate number and no more (or maybe one or two more). A str() >> of >> a float64scalar will round according to some rule that I haven't figured >> out, >> yet. It doesn't seem to be configurable with numpy.set_printoptions(). > > This is a different ptoblem from the one exposed by Nils. I mean, tha > fact that str() on numpy.float64 objects is somewhat obscure is a > problem that should obviously be addressed some day. However, as far as > I understand Nils' message, the "%.13f" trick is enough for what he > need. But I may be wrong... He just want to "increase the number of > digits", not have the "optimal" number of digits (as long as this is > meaningfull). > > But I may have missed something.
No, you didn't miss anything. I just haven't gotten enough sleep. I thought that Python floats had a __str__ that computed just as many places as necessary, but it looks like it just rounds at 12 places. This is not an adjustable parameter (barring modifying the C code of the interpreter). I also thought that the float scalars were being printed differently. However, the code for the float64scalar __str__ just gets the double value, creates a Python float object from it, and returns the __str__ result from that object. Everything works as intended. Nothing to see here. Move along. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco ------------------------------------------------------------------------- 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
