René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"UnboundLocalError: local variable 'aspect_scale_mode' referenced before assignment","articleBody":"``` python\nplt.clf()\nfig, ax = plt.subplots(1,2, sharey=True)\nplt.setp(ax.flat, aspect=1.0, adjustable='box-forced')\n#fig.set_size_inches(16,8)\nsns.despine(fig=fig)\n#scale = 'logit'\nscale = None\nplot.plot_year_dist(df_mesh[(df_mesh['Year'] \u003e= min_y) \u0026 (df_mesh['Year'] \u003c= 2009)],col='min_VolFirstP',col_label=\"Year\",thresh=10,file_prefix='individual_', ax=ax[0],color=sns.xkcd_rgb['black'],label='Individual Volume [%s-2009]' % min_y,marker=\"o\", scale = scale)\nplot.plot_year_dist(df[(df['Year'] \u003e= min_y) \u0026 (df['Year'] \u003c= 2009)],col='min_VolFirstP',col_label=\"Year\",thresh=10,file_prefix='pair_', ax=ax[0],color=sns.xkcd_rgb['red'],label='Pair Volume [%s-2009]' % min_y, marker=\"s\", scale = scale)\n\n\nplot.plot_year_dist(df_mesh[(df_mesh['Year'] \u003e= min_y) \u0026 (df_mesh['Year'] \u003c= 2009)],col='min_TFirstP',col_label=\"Years\",thresh=3,file_prefix='individual_', ax=ax[1],color=sns.xkcd_rgb['black'],label='Individual Time [%s-2009]' % min_y,marker=\"o\", scale = scale)\nplot.plot_year_dist(df[(df['Year'] \u003e= min_y) \u0026 (df['Year'] \u003c= 2009)],col='min_TFirstP',col_label=\"Years\",thresh=3,file_prefix='pair_', ax=ax[1],color=sns.xkcd_rgb['red'],label='Pair Time [%s-2009]' % min_y,marker=\"s\", scale = scale)\n\nfor i in range(2):\n    ax[i].set_yscale(\"logit\", p_min=1e-4)\n    ax[i].legend(bbox_to_anchor=(0., 1.02, 1., .102), borderaxespad=0., frameon=True, fancybox=True)\n\nplt.savefig(\"temp.pdf\",bbox_inches='tight')\n```\n\nWhen running the above code I am getting the following error:\n\n```\n---------------------------------------------------------------------------\nUnboundLocalError                         Traceback (most recent call last)\n\u003cipython-input-75-76bd951dfd46\u003e in \u003cmodule\u003e()\n     19 \n     20 \n---\u003e 21 plt.savefig(\"Novelty_year_dist_logit.pdf\",bbox_inches='tight')\n     22 plt.savefig(\"Novelty_year_dist_logit.eps\",bbox_inches='tight')\n\n/usr/local/lib/python2.7/dist-packages/matplotlib/pyplot.pyc in savefig(*args, **kwargs)\n    575 def savefig(*args, **kwargs):\n    576     fig = gcf()\n--\u003e 577     res = fig.savefig(*args, **kwargs)\n    578     draw()   # need this if 'transparent=True' to reset colors\n    579     return res\n\n/usr/local/lib/python2.7/dist-packages/matplotlib/figure.pyc in savefig(self, *args, **kwargs)\n   1474             self.set_frameon(frameon)\n   1475 \n-\u003e 1476         self.canvas.print_figure(*args, **kwargs)\n   1477 \n   1478         if frameon:\n\n/usr/local/lib/python2.7/dist-packages/matplotlib/backend_bases.pyc in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)\n   2156                     orientation=orientation,\n   2157                     dryrun=True,\n-\u003e 2158                     **kwargs)\n   2159                 renderer = self.figure._cachedRenderer\n   2160                 bbox_inches = self.figure.get_tightbbox(renderer)\n\n/usr/local/lib/python2.7/dist-packages/matplotlib/backends/backend_pdf.pyc in print_pdf(self, filename, **kwargs)\n   2483                 RendererPdf(file, image_dpi),\n   2484                 bbox_inches_restore=_bbox_inches_restore)\n-\u003e 2485             self.figure.draw(renderer)\n   2486             renderer.finalize()\n   2487         finally:\n\n/usr/local/lib/python2.7/dist-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)\n     57     def draw_wrapper(artist, renderer, *args, **kwargs):\n     58         before(artist, renderer)\n---\u003e 59         draw(artist, renderer, *args, **kwargs)\n     60         after(artist, renderer)\n     61 \n\n/usr/local/lib/python2.7/dist-packages/matplotlib/figure.pyc in draw(self, renderer)\n   1083         dsu.sort(key=itemgetter(0))\n   1084         for zorder, a, func, args in dsu:\n-\u003e 1085             func(*args)\n   1086 \n   1087         renderer.close_group('figure')\n\n/usr/local/lib/python2.7/dist-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)\n     57     def draw_wrapper(artist, renderer, *args, **kwargs):\n     58         before(artist, renderer)\n---\u003e 59         draw(artist, renderer, *args, **kwargs)\n     60         after(artist, renderer)\n     61 \n\n/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in draw(self, renderer, inframe)\n   2004             self.apply_aspect(pos)\n   2005         else:\n-\u003e 2006             self.apply_aspect()\n   2007 \n   2008         artists = []\n\n/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in apply_aspect(self, position)\n   1191         fig_aspect = figH / figW\n   1192         if self._adjustable in ['box', 'box-forced']:\n-\u003e 1193             if aspect_scale_mode == \"log\":\n   1194                 box_aspect = A * self.get_data_ratio_log()\n   1195             else:\n\nUnboundLocalError: local variable 'aspect_scale_mode' referenced before assignment\n```\n\nHowever, running the example explained in http://stackoverflow.com/a/13663328/1650159 doesn't give this error. \n\nAdditional Info:\n\n``` python\ndef plot_year_dist(df,col='',col_label=\"\",thresh=0,file_prefix='',outFolder=DEFAULT_OUTPUT,\\\n    ax=None,color=sns.xkcd_rgb['black'],label='',scale=None,**kwargs):\n  saveFig = False\n  if ax is None:\n    plt.clf()\n    ax = plt.gca()\n    saveFig = True\n  filename = file_prefix+col+\"_year_dist.png\"\n  df_g = df[[col,'Year']].groupby('Year').count()\n  df_g[\"filtered\"] = df[[col,\"Year\"]][df[col] \u003c= thresh].groupby(\"Year\").count()\n  df_g[\"prop\"] = df_g[\"filtered\"]/df_g[col]\n  #print df_g.index\n  #print df_g\n  x = df_g.index.values\n  y = df_g[\"prop\"].values\n  if scale == 'logit':\n    y = np.log10(y/(1.0-y))\n\n  ax.plot(x,y, linestyle='-',markersize=3.0,color=color,label=label,**kwargs)\n\n  print \"Finished generating histogram\"\n  ax.set_xlabel(col_label)\n  ax.set_ylabel(\"Proportion (\u003c= %s)\" % thresh)\n  if scale == 'logit':\n    ax.set_ylabel(\"$log_{10}(p/1-p)$ [$p = P(X\u003c= %s)$]\" % thresh)\n  if saveFig:\n    plt.savefig(outFolder+\"/\"+filename)\n  print \"Plot saved in %s.\" % (filename)\n\n```\n","author":{"url":"https://github.com/napsternxg","@type":"Person","name":"napsternxg"},"datePublished":"2015-08-11T10:31:04.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":15},"url":"https://github.com/4900/matplotlib/issues/4900"}