Hang on a minute, it looks like numpy.float64.__repr__() itself isn't reproducing all significant digits... I'm writing up a test now and will move this to the numpy list. I'm not sure how much is MPL and how much is numpy at this point.
Trying to make a roundtrip through a .csv file not loose precision, Andrew John Hunter wrote: > On Dec 15, 2007 3:13 PM, Andrew Straw <[EMAIL PROTECTED]> wrote: > >> mlab.defaultformatd sets the default float formatter for rec2csv() to be >> something that doesn't keep the full representation of a floating point >> number. Obviously, I can pass in my own formatd argument to rec2csv(), >> but I wonder if there's any reason why defaultformatd shouldn't use >> repr() for numpy.float32 and numpy.float64? >> > > I'll be happy to make repr the default. I was using %g because I > mistakenly though this provided the appropriate number of significant > digits. I changed this to %r in the csvformat_factory in svn. > > JDJ > ------------------------------------------------------------------------- SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
