On Fri, Oct 16, 2009 at 7:04 PM, per freem <perfr...@gmail.com> wrote:
> hi all,
>
> i have a matrix of data and i would like to make a set of subplots,
> each subplot with a histgram of one of the columns of the data. the
> dataset is an Nx4 matrix containing only numbers between 0 and 1.
>
> i plot it like this:
>
> plt.subplot(2, 2, 1)
> # histogram of first column
> plt.hist(mydata[:, 0], 15)
> plt.subplot(2, 2, 1)
> # histogram of second column
> plt.hist(mydata[:, 1], 15)
> # etc...
>
> since i want the subplots to be comparable, i'd like hist to use the
> same bins for all subplots. how can i do this?
>
> also, i would like to, instead of showing counts on the y-axis, show
> the normalized probability of each bin. i looked into the "normed"
> optional argument, but i don't think it achieves this. my attempt to
> do this was:
>
> plt.hist(mydata[:, 0], 15, normed=1)
>
> but the y-axis is not set to be between 0 and 1.
>
> any ideas on how to do this would be greatly appreciated. thanks.
>
> plt.hist(mydata[:, 0]
>
>
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In a PDF area underneath the given curve (histogram in your case) should be
equal to 1. Setting normed to True satisfies this condition.
One thing that always confuses me is how to label y-axis in this case?
Apparently, one cannot say "probability" because they are not exactly
probabilities due to the definition of PDF. "Probability density" maybe a
good candidate looking at the example on the web.
Any ideas about this?
--
Gökhan
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http://p.sf.net/sfu/devconference
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