Thanks for everyone responses and help
Che,
You are correct on what I have to do. The problem is that I have a data set
with ~1250 so I cant' do the sorting or finding the mean by hand. I guess
what I need to to is to write a script that will sort the values, bin them,
and keep track of the number of values in each bin. Then find the mean value
in each bin. Then the scrip has to take the number of values in each bin and
plot that versus the mean of each bin. I apologies for the lack of clarity
in my earlier posts. It was unclear to me what exactly had to be done until
this weekend.
Chelonian wrote:
>
> On Sat, Sep 3, 2011 at 7:32 PM, mdekauwe <mdeka...@gmail.com> wrote:
>>
>> So you do want a histogram then? I assume you have all of this sorted
>> then,
>> the histogram function is very good.
>
> I don't think he's describing a histogram, because he is not plotting
> frequency of observations on the y axis, but data values (means of
> each bin). I think what surfcast23 wants is just a bar graph.
>
> So, surfcast23, I'd suggest you break it down into your two steps.
> First, how will you average your values by bin? You can probably
> figure that out by writing it out on paper in pseudo-code and then
> just putting it in Python. Then you'll have a list of means, and you
> will pass that to the bar function in matplotlib, something like:
>
> from pylab import *
> ax = subplot(111)
> x = arange(4)
> your_list_of_means = [4,5,7,11] #computed earlier
> bar(x, your_list_of_means)
> xticks( x + 0.5, ('Bin1', 'Bin2', 'Bin3', 'Bin4') )
> show()
>
> Che
>
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