I think you are correct - and I think the fact that the line width of the
error bar is larger (compared to the size of the rectangle) gives the
impression the top rectangle is actually darker.
I see - it's just a matter of playing around with the error bar properties
to make it look pretty.
Thanks,
Federico
On Thu, Feb 23, 2012 at 5:13 PM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>
> On Thu, Feb 23, 2012 at 10:03 AM, federico vaggi <vaggi.feder...@gmail.com
> > wrote:
>
>> Hi Ben,
>>
>> In the pre-resizing pictures, each bar is drawn as two rectangles, the
>> first until the lower margin of the standard deviation, the second until
>> the mean.
>>
>> It looks like it draws one rectangle from:
>>
>> 0:(MEAN-STD)
>>
>> and another from:
>>
>> MEAN-STD to MEAN+STD
>>
>> After resizing, it is just a single rectangle with the standard deviation
>> drawn as normal.
>>
>> I presume the 2nd version is meant to be correct, but absolutely no
>> graphics properties are altered (besides manually re-sizing the window).
>>
>> Federico
>>
>>
> Sorry, I am not seeing what you are saying. Just to be clear, when you
> say "bar", are you referring to the gray rectangles that denote the mean or
> the errorbars that denote the standard deviations?
>
> What might be confusing is that in the first graph, the "cap" of the
> errorbars (the horizontal line on the ends of each errorbar) is almost the
> same width as the gray bars themselves. This sort of makes it look like
> there are two gray bars stacked on top of each other. Is this what you are
> referring to?
>
> Ben Root
>
>
------------------------------------------------------------------------------
Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users