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Description
plt.clf()
fig, ax = plt.subplots(1,2, sharey=True)
plt.setp(ax.flat, aspect=1.0, adjustable='box-forced')
#fig.set_size_inches(16,8)
sns.despine(fig=fig)
#scale = 'logit'
scale = None
plot.plot_year_dist(df_mesh[(df_mesh['Year'] >= min_y) & (df_mesh['Year'] <= 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)
plot.plot_year_dist(df[(df['Year'] >= min_y) & (df['Year'] <= 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)
plot.plot_year_dist(df_mesh[(df_mesh['Year'] >= min_y) & (df_mesh['Year'] <= 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)
plot.plot_year_dist(df[(df['Year'] >= min_y) & (df['Year'] <= 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)
for i in range(2):
ax[i].set_yscale("logit", p_min=1e-4)
ax[i].legend(bbox_to_anchor=(0., 1.02, 1., .102), borderaxespad=0., frameon=True, fancybox=True)
plt.savefig("temp.pdf",bbox_inches='tight')When running the above code I am getting the following error:
---------------------------------------------------------------------------
UnboundLocalError Traceback (most recent call last)
<ipython-input-75-76bd951dfd46> in <module>()
19
20
---> 21 plt.savefig("Novelty_year_dist_logit.pdf",bbox_inches='tight')
22 plt.savefig("Novelty_year_dist_logit.eps",bbox_inches='tight')
/usr/local/lib/python2.7/dist-packages/matplotlib/pyplot.pyc in savefig(*args, **kwargs)
575 def savefig(*args, **kwargs):
576 fig = gcf()
--> 577 res = fig.savefig(*args, **kwargs)
578 draw() # need this if 'transparent=True' to reset colors
579 return res
/usr/local/lib/python2.7/dist-packages/matplotlib/figure.pyc in savefig(self, *args, **kwargs)
1474 self.set_frameon(frameon)
1475
-> 1476 self.canvas.print_figure(*args, **kwargs)
1477
1478 if frameon:
/usr/local/lib/python2.7/dist-packages/matplotlib/backend_bases.pyc in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2156 orientation=orientation,
2157 dryrun=True,
-> 2158 **kwargs)
2159 renderer = self.figure._cachedRenderer
2160 bbox_inches = self.figure.get_tightbbox(renderer)
/usr/local/lib/python2.7/dist-packages/matplotlib/backends/backend_pdf.pyc in print_pdf(self, filename, **kwargs)
2483 RendererPdf(file, image_dpi),
2484 bbox_inches_restore=_bbox_inches_restore)
-> 2485 self.figure.draw(renderer)
2486 renderer.finalize()
2487 finally:
/usr/local/lib/python2.7/dist-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)
57 def draw_wrapper(artist, renderer, *args, **kwargs):
58 before(artist, renderer)
---> 59 draw(artist, renderer, *args, **kwargs)
60 after(artist, renderer)
61
/usr/local/lib/python2.7/dist-packages/matplotlib/figure.pyc in draw(self, renderer)
1083 dsu.sort(key=itemgetter(0))
1084 for zorder, a, func, args in dsu:
-> 1085 func(*args)
1086
1087 renderer.close_group('figure')
/usr/local/lib/python2.7/dist-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)
57 def draw_wrapper(artist, renderer, *args, **kwargs):
58 before(artist, renderer)
---> 59 draw(artist, renderer, *args, **kwargs)
60 after(artist, renderer)
61
/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in draw(self, renderer, inframe)
2004 self.apply_aspect(pos)
2005 else:
-> 2006 self.apply_aspect()
2007
2008 artists = []
/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in apply_aspect(self, position)
1191 fig_aspect = figH / figW
1192 if self._adjustable in ['box', 'box-forced']:
-> 1193 if aspect_scale_mode == "log":
1194 box_aspect = A * self.get_data_ratio_log()
1195 else:
UnboundLocalError: local variable 'aspect_scale_mode' referenced before assignment
However, running the example explained in http://stackoverflow.com/a/13663328/1650159 doesn't give this error.
Additional Info:
def plot_year_dist(df,col='',col_label="",thresh=0,file_prefix='',outFolder=DEFAULT_OUTPUT,\
ax=None,color=sns.xkcd_rgb['black'],label='',scale=None,**kwargs):
saveFig = False
if ax is None:
plt.clf()
ax = plt.gca()
saveFig = True
filename = file_prefix+col+"_year_dist.png"
df_g = df[[col,'Year']].groupby('Year').count()
df_g["filtered"] = df[[col,"Year"]][df[col] <= thresh].groupby("Year").count()
df_g["prop"] = df_g["filtered"]/df_g[col]
#print df_g.index
#print df_g
x = df_g.index.values
y = df_g["prop"].values
if scale == 'logit':
y = np.log10(y/(1.0-y))
ax.plot(x,y, linestyle='-',markersize=3.0,color=color,label=label,**kwargs)
print "Finished generating histogram"
ax.set_xlabel(col_label)
ax.set_ylabel("Proportion (<= %s)" % thresh)
if scale == 'logit':
ax.set_ylabel("$log_{10}(p/1-p)$ [$p = P(X<= %s)$]" % thresh)
if saveFig:
plt.savefig(outFolder+"/"+filename)
print "Plot saved in %s." % (filename)Metadata
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