Perhaps someone else can help as I feel I am being particularly dense.

for i in xrange(numcols):
    ax.plot([np.mean(mass[:,7]) for i in xrange(numcols)], 
            np.arange(numcols), label=i) 

This gives you what I think you said, but really don't think this is what
you mean as it seems a strange thing to want to do.

sorry i couldn't be of more help


surfcast23 wrote:
> 
> Hi,
> 
>    there is only one column. so I want a plot of y and x. With y taking
> values running from 0 to n  or 7 in my example and x as the average of the
> values that are contained in the rows in my example it was 5.57.
> 
> 
> 
> mdekauwe wrote:
>> 
>> still don't quite get this, so you want for each column the average? and
>> you want to plot each of these averages? So a bar graph? with 8 bars?
>> 
>> 
>> 
>> surfcast23 wrote:
>>> 
>>> Hi,
>>> 
>>>    I apologize if my explanation was less than clear. What I have is
>>> data in a column that runs from row 1 to row 1268. In each each row
>>> there is a number. For example
>>> 
>>> 1
>>> 3
>>> 5
>>> 6
>>> 7
>>> 8
>>> 9
>>> 
>>> so I want  the y axis to run from 1 to 7 ( the number of rows) and the x
>>> axis to be the average of the values in this case 5.57. I am having
>>> problems with setting up the y-axis as well as the dimension   problem
>>> you addressed. 
>>> 
>>>  Is there a way I could have every value on the x axis the same? Say for
>>> the above example have the x and y axis  be
>>> 
>>> 7
>>> 6
>>> 5
>>> 4
>>> 3
>>> 2
>>> 1 
>>>   5.75 5.57 5.57 5.75 5.57 5.57 5.75
>>> 
>>>  Which would be the number of rows vs the average value of the data in
>>> the rows and then plot that?
>>> 
>>> Thanks again
>>> 
>>> Khary
>>> 
>>> 
>>> 
>>> mdekauwe wrote:
>>>> 
>>>> Hi,
>>>> 
>>>> Well the first bit about wanting a specific column and the last bit
>>>> about not wanting to print all the data in and read it back, you get
>>>> that from the example I gave you. If you paste what I wrote for you
>>>> line by line it should become clearer for you, additionally it avoids
>>>> you have to write your own parsing code.
>>>> 
>>>> As far as your plotting goes, unless you actually post what you are
>>>> entering in the script (exactly as you have it), then it is impossible
>>>> to say. For example
>>>> 
>>>> plt.plot()
>>>> plt.show
>>>> 
>>>> there is no way that is all you have? if it is, then of course you will
>>>> get a fail as you are asking matplotlib to plot but are not providing
>>>> it with any data to plot!
>>>> 
>>>> Perhaps I am being particularly dense but "What I now need to do is
>>>> have the information in that column plotted as the number of rows vs.
>>>> the mean value of all of the rows." means nothing to me. Sorry. What do
>>>> you want on the X and Y... do you mean you want to plot your individual
>>>> column (8 i think you called it) against the mean of all the other
>>>> rows? If so I would expect you would have a dimensions issue
>>>> 
>>>> Martin
>>>> 
>>>> 
>>>> 
>>> 
>>> 
>> 
>> 
> 
> 

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