The problem is really that the window is too small, the text is too large, and/or the axes is too large within the figure.
Try one or more of the following: Replace the values for win.set_default_size to something larger, eg. win.set_default_size(800,600) Replace the fig.add_subplot call with a fig.add_axes call that explicitly specifies the axes position: ax = fig.add_axes((0.2, 0.2, 0.6, 0.6)) Reduce the font size by adding the following to the top: from matplotlib import rcParams rcParams['font.size'] = 4 Reduce the dpi of the plot: fig = Figure(figsize=(5,4), dpi=60) Cheers, Mike Vamsi Vytla wrote: > Adding line: > ax.set_xlabel("asdf") > > To file (matplotlib examples): > http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_gtk2.py > > This sets the X-Label under the navigation toolbar. I am unable to > set it such a way that the entire canvas is rendered in the container. > > It would be of great help to know how this can be done. > > Thanks, > W > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------------ > 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 > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------------ 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