What could cause a plot fail in my code?

[Robert]

On Monday, December 21, 2015 at 12:15:54 PM UTC-5, Robert wrote:
> Hi,
> 
> I find a useful code snippet on link:
> 
> http://stackoverflow.com/questions/25126444/logistic-regression-in-pymc/34400966#34400966
> 
> but it has error on plot function. The error message is as following:
> ---------
> %run "C:\Users\rj\pyprj\logic_regression0.py"
> [-----------------100%-----------------] 10000 of 10000 complete in 12.6       secPlotting beta0
> Plotting tau
> Plotting betaSalad
> Plotting sigma
> ---------------------------------------------------------------------------
> UnboundLocalError                         Traceback (most recent call last)
> C:\Users\pyprj\logic_regression0.py in <module>()
>      34 #m.sample(100000, 50000, 50)
>      35 m.sample(10000, 5000, 50)
> ---> 36 pm.Matplot.plot(m)
>      37 import matplotlib.pyplot as plt
>      38 #plt.plot(m)
> 
> C:\Users\AppData\Local\Enthought\Canopy\User\lib\site- packages\pymc\Matplot.pyc in wrapper(pymc_obj, *args, **kwargs)
>     339                     if args:
>     340                         name = '%s_%s' % (args[0], variable.__name__)
> --> 341                     f(data, name, *args, **kwargs)
>     342             return
>     343         except AttributeError:
> 
> C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\pymc\Matplot.pyc in plot(data, name, format, suffix, path,  common_scale, datarange, new, last, rows, num, fontmap, verbose)
>     453             num=num * 2,
>     454             last=last,
> --> 455             fontmap=fontmap)
>     456 
>     457         if last:
> 
> C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\pymc\Matplot.pyc in wrapper(pymc_obj, *args, **kwargs)
>     375 
>     376         # If others fail, assume that raw data is passed
> --> 377         f(pymc_obj, *args, **kwargs)
>     378 
>     379     wrapper.__doc__ = f.__doc__
> 
> C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\pymc\Matplot.pyc in histogram(data, name, bins, datarange, format, suffix, path, rows, columns, num, last, fontmap, verbose)
>     576 
>     577         # Generate histogram
> --> 578         hist(data.tolist(), bins, histtype='stepfilled')
>     579 
>     580         xlim(datarange)
> 
> C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\matplotlib\pyplot.py in hist(x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, hold, data, **kwargs)
>    2956                       histtype=histtype, align=align, orientation=orientation,
>    2957                       rwidth=rwidth, log=log, color=color, label=label,
> -> 2958                       stacked=stacked, data=data, **kwargs)
>    2959     finally:
>    2960         ax.hold(washold)
> 
> C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\matplotlib\__init__.py in inner(ax, *args, **kwargs)
>    1809                     warnings.warn(msg % (label_namer, func.__name__),
>    1810                                   RuntimeWarning, stacklevel=2)
> -> 1811             return func(ax, *args, **kwargs)
>    1812         pre_doc = inner.__doc__
>    1813         if pre_doc is None:
> 
> C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\matplotlib\axes\_axes.py in hist(self, x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
>    6192                         ymin = np.amin(m[m != 0])
>    6193                         # filter out the 0 height bins
> -> 6194                 ymin = max(ymin*0.9, minimum) if not input_empty else minimum
>    6195                 ymin = min(ymin0, ymin)
>    6196                 self.dataLim.intervaly = (ymin, ymax)
> 
> UnboundLocalError: local variable 'ymin' referenced before assignment 
> /////////////
> 
> I have no clue at all on debug it. Could you help me?
> Thanks,

Excuse me. The code link should be this one:

http://nbviewer.ipython.org/gist/aflaxman/8329ec1b9f861469f896

Do you experience such errors?

Thanks,