[gradsusr] Histogram from Timeseries Analysis

[Mary Ndlovu]

In clearer terms, i think i should say, i have computed the timeseries, now
i want to use this information to come up with a PDF(probability density
frequency in terms of a histogram and also later show the distribution as a
line... Am really sorry for not being clearer earlier. Thanks a lot


On Tue, May 14, 2013 at 3:14 PM, Mary Ndlovu <maryndlovu2 at gmail.com> wrote:

> Thanks Stephen,
>
> I think this is the same as recipe 20 open grads. I wasn't clear enough.
> Ok, I have just looked into this, this would give me the yrs vs the
> precipitation, where as what i am looking into doing is to draw a histogram
> where you get the mean in the middle of the chart, then have an interval of
> the precipitation in mm/dy. I am trying to compare variability between
> re-analysis and model outputs. So i guess assigning the bins, and using
> somehow a hist.gs would help. But i am clueless as to how this script
> works since there seems to be no documentation on it, or atleast something
> online that somebody tried.
>
>
> On Tue, May 14, 2013 at 2:59 PM, Stephen McMillan <
> smcmillan at planalytics.com> wrote:
>
>> Hello Mary,
>>
>> Here's a short example using precip from the GFS model:
>>
>> 'set t 1 last'
>> 'set lat 40';'set lon -75.5'
>> 'set gxout bar'
>> 'set bargap 25'
>> 'set barbase 0'
>> 'set vrange 0 2';'set ylint 0.2'
>> 'set ccolor 3'
>> 'd apcpsfc/25.4'
>>
>> Above example should plot green bars (columns) for precipitation for all
>> 65 timesteps in dataset.  See Documentation Index for more information on
>> each command.
>>
>> Stephen McMillan
>>
>>
>> On Tue, May 14, 2013 at 8:37 AM, Mary Ndlovu <maryndlovu2 at gmail.com>wrote:
>>
>>> Hello all,
>>>
>>> Please help me with plotting a histogram from timeseries. I tried
>>> googling and found hist.gs but it is so difficult to use it since i do
>>> not understand what i really need to do. Please help if you have a script
>>> to do this, or how to let my script work with the hist.gs. Thanks in
>>> advance
>>>
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>>>
>>>
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