On Thu, Jan 12, 2012 at 12:14 PM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>
> On Thu, Jan 12, 2012 at 11:04 AM, Tony Yu <tsy...@gmail.com> wrote:
>
>>
>>
>> On Thu, Jan 12, 2012 at 11:39 AM, Christophe Pettus <x...@thebuild.com>wrote:
>>
>>>
>>> On Jan 12, 2012, at 7:38 AM, Benjamin Root wrote:
>>> > Does everything work correctly if it is vertical? In other words, use
>>> bar() and set the y-axis to log scale? An example script would be useful.
>>>
>>> No, it doesn't appear to work as a vertical bar chart, either.
>>>
>>> I've attached a test case below. The results I get running it with the
>>> X-axis as log are:
>>>
>>> http://thebuild.com/matlabtest/matlabtest-log.pdf
>>>
>>> Commenting out the call to ax.set_xscale('log') gives me:
>>>
>>> http://thebuild.com/matlabtest/matlabtest.pdf
>>>
>>> Thanks!
>>>
>>> --
>>>
>>> import numpy as np
>>> import matplotlib
>>> from matplotlib.font_manager import FontProperties
>>>
>>> import random
>>>
>>> matplotlib.use('PDF')
>>>
>>> import matplotlib.pyplot as plot
>>>
>>> small_font = FontProperties()
>>> small_font.set_size('xx-small')
>>>
>>> ind = np.arange(20)
>>>
>>> label = [ str(r) for r in ind ]
>>> data1 = [ float(random.random()*100000000) for r in ind ]
>>> data2 = [ float(random.random()*100000000) for r in ind ]
>>>
>>> width = 0.25
>>>
>>> fig = plot.figure()
>>> ax = fig.add_subplot(111)
>>>
>>> ax.set_title('Table Title')
>>> ax.set_xlabel('X Label')
>>>
>>> ax.barh(ind, data1, width, linewidth=0, color='blue')
>>> ax.barh(ind, data2, width, left=data1, linewidth=0, color='yellow')
>>> ax.set_yticks(ind + width/2)
>>> ax.set_yticklabels(label, fontproperties=small_font)
>>> ax.set_xscale('log')
>>>
>>> plot.savefig('matlabtest-log.pdf')
>>>
>>> --
>>> -- Christophe Pettus
>>>
>>
>> Isn't this just because zero isn't defined in log scale? The second set
>> of data plots fine because it doesn't start at zero, but it isn't obvious
>> what to do with the first set of data. If you just want to make this work,
>> you can set the left parameter of the first `barh` call to some constant;
>> for example:
>>
>> >>> origin = 10**np.floor(np.log10(np.min(data1)))
>> >>> ax.barh(ind, data1, width, left=origin, linewidth=0, color='blue')
>>
>> -Tony
>>
>
> Right, but I could have sworn that we got this fixed at some point. There
> is logic in the bar() function to detect logscale and handle it
> appropriately. But I don't know what is not working here.
>
> Ben Root
>
>
Ahh, I didn't know this. It looks like setting `log=True` in `barh` works.
-Tony
------------------------------------------------------------------------------
RSA(R) Conference 2012
Mar 27 - Feb 2
Save $400 by Jan. 27
Register now!
http://p.sf.net/sfu/rsa-sfdev2dev2
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
