diff --git a/plot.py b/plot.py
index 1161cbc..a119ee2 100644
--- a/plot.py
+++ b/plot.py
@@ -1,53 +1,52 @@
 import re
 
 from matplotlib.figure import Figure
 from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
 
 _data_re = re.compile(r' *'
                       r'(?P<nb_lines>[0-9.]+[kM]) '
                       r'(?P<time>[0-9:]+) '
                       r'\[ *(?P<instant_rate>[^\]]+)\] '
                       r'\[ *(?P<avg_rate>[0-9.]+)k/s\]')
 
 def parse_SI(s):
     """Parses a float with an SI suffix (k, M, G, ...)."""
     if set(s) <= set('1234567890.'):
         return float(s)
     elif s.endswith('k'):
         return float(s[0:-1])*1000
     elif s.endswith('M'):
         return float(s[0:-1])*1000000
     else:
         raise NotImplementedError(s)
 
 def parse_time(s):
     (hours, minutes, seconds) = s.split(':')
     return int(hours)*3600 + int(minutes)*60 + int(seconds)
 
 def plot_chunk(ax, chunk):
     (first_line, data) = chunk.split('\n', 1)
     label = first_line.split()[0]
     data = list(map(_data_re.match, data.split('\n')))
     data = [(parse_SI(x.group('nb_lines')), parse_time(x.group('time')))
             for x in data]
     (data_x, data_y) = zip(*data)
-    print(data_y)
     ax.plot(data_x, data_y, label=label)
 
 def main():
     with open('plot_data.txt') as fd:
         chunks = fd.read().strip().split('\n\n')
     fig = Figure()
     FigureCanvas(fig)
     ax = fig.add_subplot(111)
     for chunk in chunks:
         plot_chunk(ax, chunk)
     ax.set_xlabel('nb revisions')
     ax.set_ylabel('total insertion time (s)')
     ax.set_title('speed of storage.revision_add()')
-    legend = ax.legend(shadow=True, fontsize='x-large')
+    legend = ax.legend(shadow=True)
     fig.savefig('/tmp/benchmark.png')
     ax.set_title('')
 
 if __name__ == '__main__':
     main()