On Thursday 25 February 2010 15:56:31 afancy wrote:
> Hi,
>
> I have some difficulty to use the log scale on bar chart. Could anybody
> help me, thanks in advace.
>
> Regards,
> afancy
>
> from matplotlib.font_manager import FontProperties
> data=((0.014, 0.512, 0.015, 0.161, 1.177, 6.793, 0.089, 1.495,
> 25.65, 0.014, 0.045, 0.052, 5.423),
> (0.529, 0.612, 0.855, 0.178, 1.432, 6.43, 41.311, 1.62,
> 71.012, 1.59, 0.271, 0.066, 4.721),
> (0.493, 834.351, 0.156, 743.193,0.428, 84.101, 1058.062,8.652,
> 1023, 0.168, 7.101, 8.135, 152.646),
> (118.90,2035.35, 89.35, 15.402, 10.856,110.049,3024.42,
> 8054.74,5214.36, 5.539, 11.539, 515.632,150.411)
> )
>
> rects=[]
> xticks=[]
> patterns = ('/','x', '\\','o')
> colors=['r','b','y', 'g']
>
> fig = figure()
> ax=fig.add_subplot(111)
>
> ax.set_yscale('log')
> ax.set_ylim(1e-4, 1e5)
> width=0.1
>
> for q in range(13):
> for n in range(4):
> l = q+width*n
> h = data[n][q]
> w = width
> rect, = ax.bar(l, h, w, bottom=0, fill=False, hatch=patterns[n],
> log=True)
>
>
> draw()
Hi
if I replace
bottom=0
with
bottom=10**-3
in your script I see bars.
Kind regards,
Matthias Michler
------------------------------------------------------------------------------
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
