Just in case, if anyone needs the answer, I figured it out. I used the transData transform in order to draw the lines correctly.
Here is the code - # The code below is to add the lines near the tick labels fig = barGraph.fig xAxisLim=barGraph.ax.xaxis.get_view_interval() tickLocArray = barGraph.ax.xaxis.get_majorticklocs() yStart=-70 yEnd=-0.5 line = Line2D([xAxisLim[0], xAxisLim[0]], [yStart,yEnd],linewidth=2, color='black', transform=barGraph.ax.transData) fig.lines.append(line) for i in xrange(11): lnWidth=2 yStartOffset=0 if((i+1)%4 != 0): lnWidth=1 yStartOffset=20 xOffset = tickLocArray[i] + (tickLocArray[i+1] - tickLocArray[i])/2 line = Line2D([xOffset, xOffset], [yStart+yStartOffset,yEnd],linewidth=lnWidth, color='black', transform=barGraph.ax.transData) fig.lines.append(line) line = Line2D([xAxisLim[1], xAxisLim[1]], [yStart,yEnd],linewidth=2, color='black', transform=barGraph.ax.transData) fig.lines.append(line) plt.figtext(0.247, 0.05, '1') plt.figtext(0.523, 0.05, '2') plt.figtext(0.797, 0.05, '4') Thank You! Raj rajtendulkar wrote: > > Dear All, > > I am trying to write a program in matplotlib to generate stacked bar > graphs. > My problem is that the commands - plt.show() and > self.fig.savefig(fileName) generate different outputs. > I tried different output formats like PDF, PNG, EPS. But the problem > remains the same. > This happens for the lines that I am trying to draw outside the plot. > I am trying to draw vertical lines between xticklabels. > I have uploaded the data file and the code file. > http://old.nabble.com/file/p33893817/data.dat data.dat > http://old.nabble.com/file/p33893817/matplot1.py matplot1.py > Could anyone explain how to resolve this problem? > > Thank You, > Raj > -- View this message in context: http://old.nabble.com/Difference-in-show-and-output-file-tp33893817p33894599.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users