Danny Handoko wrote: > Dear matplotlib community, > > We recently did an upgrade to matplotlib 0.99.0 from 0.91.2. > We noticed that some semilog graphic we previously created are suddenly > no longer visible. After some searching we found out that when the x > data contains a 0.0 value and we perform a semilogx(), the figure shows > a nice white surface, without any warning/error. In the previous > version it was apparently silently ignored so that the graphic with the > other 8000+ data points is still visible. > > Is this by design or is it a bug? If it is by design then we expect > some clear warnings/error message instead of silently performing a > disappearing trick :) > > Shall I report this as a bug in the tracker?
It must have been a bug that was fixed; semilogx(arange(10), arange(10)) produces a curve with svn mpl. I hope you can update to a newer version. Eric > > greetings, > > > Danny Handoko > > -- The information contained in this communication and any attachments > is confidential and may be privileged, and is for the sole use of the > intended recipient(s). Any unauthorized review, use, disclosure or > distribution is prohibited. Unless explicitly stated otherwise in the > body of this communication or the attachment thereto (if any), the > information is provided on an AS-IS basis without any express or implied > warranties or liabilities. To the extent you are relying on this > information, you are doing so at your own risk. If you are not the > intended recipient, please notify the sender immediately by replying to > this message and destroy all copies of this message and any attachments. > ASML is neither liable for the proper and complete transmission of the > information contained in this communication, nor for any delay in its > receipt. > > > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > > > ------------------------------------------------------------------------ > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
