Sterling,
Thank you, ya I got it working using MaxNLocator
On Tue, Mar 5, 2013 at 12:49 PM, Sterling Smith <smit...@fusion.gat.com>wrote:
> Vineeth,
>
> I think that you are looking for
> from matplotlib.ticker import MaxNLocator
>
> -Sterling
>
> On Mar 3, 2013, at 5:38PM, vineeth wrote:
>
> > Hello,
> >
> > I have attached the histogram that I generated. When specifying large
> numbers like 1000 or more, the xticks tend to overlap and it gives a clumsy
> impression. Is there a way to avoid this?. What can be done to give gaps
> between the ticks?. Say in my case just show 3 to 4 ticks in x axis rather
> than specifying all the ticks. The following is my code:
> >
> > def plotHistogram(veh_no, value, vehicle_no, fig_no):
> >
> > font = {'family' : 'serif',
> > 'weight' : 'normal',
> > 'size' : 10}
> > rc('font', **font)
> > count = 1
> > legends = []
> > print veh_no
> > plt.figure(num=fig_no,dpi=105)
> > for i in range(len(value)):
> > ax = plt.subplot(2,2,i+1)
> > n, bins, patches = plt.hist(value[i],100,label=veh_no[i])
> > plt.ylabel('frequency',position=(0.5,0.5))
> > plt.xlabel('x valuels')
> > plt.grid()
> > min_val = int(round(min(value[i]),0))
> > max_val = int(round(max(value[i]),0))
> > ax.set_xlim(min_val-2,max_val+2)
> > locs,labels = plt.xticks()
> > plt.xticks(locs, map(lambda x: "%g" % x, locs))
> > plt.savefig('figurename.eps',dpi=70)
> > count += 1
> >
> > Thank You
> > Vineeth
> >
> <test_hist.eps>------------------------------------------------------------------------------
> > Everyone hates slow websites. So do we.
> > Make your web apps faster with AppDynamics
> > Download AppDynamics Lite for free today:
> >
> http://p.sf.net/sfu/appdyn_d2d_feb_______________________________________________
> > Matplotlib-users mailing list
> > Matplotlib-users@lists.sourceforge.net
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
--
Don't tell GOD how Big your storm is...TELL THE STORM HOW BIG YOUR GOD
IS!!!
------------------------------------------------------------------------------
Everyone hates slow websites. So do we.
Make your web apps faster with AppDynamics
Download AppDynamics Lite for free today:
http://p.sf.net/sfu/appdyn_d2d_feb
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
