Stacked type histograms have this problem as well. The solution I've
found is to do fig.set_yscale('log', nonposy='clip').
On Fri, Aug 24, 2012 at 8:43 AM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>
> On Fri, Aug 24, 2012 at 1:44 AM, Eric Firing <efir...@hawaii.edu> wrote:
>>
>> On 2012/08/23 6:41 PM, Fernando Perez wrote:
>> > Hi Eric,
>> >
>> > On Thu, Aug 23, 2012 at 7:56 PM, Eric Firing <efir...@hawaii.edu> wrote:
>> >> I'm not sure I understand what you are getting at, but I don't think
>> >> there
>> >> should be any interface changes for plot or for their log variants.
>> >
>> > I probably phrased my question poorly. I'm just wondering, how would
>> > one use the proposed stackplot function to obtain a stacked plot but
>> > that used log axes (x, y or both)?
>>
>> One would follow the stackplot call with calls to xscale('log') and/or
>> yscale('log'). This works fine for the x-axis (if x values are
>> positive), but when the y-axis is log, the bottom region is not filled,
>> presumably because it is trying to fill down to zero. I haven't looked
>> at the code, so I don't know whether there is some way of improving this
>> behavior without the stackplot call knowing beforehand that it will be
>> dealing with a log axis.
>>
>> Eric
>>
>
> This is a similar problem that we face with bar() and hist()...
>
> Ben Root
>
>
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