Sterling,
Thank you, ya I got it working using MaxNLocator
On Tue, Mar 5, 2013 at 12:49 PM, Sterling Smith 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
> >
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>
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