[Numpy-discussion] np.histogram on arrays.

[Thouis (Ray) Jones]

How about something like this:

# numpy 1.6
def rowhist(A, bins=100):
    assert (bins > 0)
    assert isinstance(bins, int)
    rownum = np.arange(A.shape[0]).reshape((-1, 1)).astype(int) * bins
    intA = (bins * (A - A.min()) / float(A.max() - A.min())).astype(int)
    intA[intA == bins] = bins - 1
    return np.bincount((intA + rownum).flatten(),
minlength=(A.shape[0]).reshape((A.shape[0], bins))

# numpy 1.5
def rowhist(A, bins=100):
    assert (bins > 0)
    assert isinstance(bins, int)
    rownum = np.arange(A.shape[0]).reshape((-1, 1)).astype(int) * bins
    intA = (bins * (A - A.min()) / float(A.max() - A.min())).astype(int)
    intA[intA == bins] = bins - 1
    counts = np.zeros(A.shape[0] * bins)
    bc = np.bincount((intA + rownum).flatten())
    counts[:len(bc)] = bc
    return counts.reshape((A.shape[0], bins))


On Wed, Mar 30, 2011 at 09:04, Éric Depagne <eric at depagne.org> wrote:
> Hi.
>
> Sorry for not having been clearer. I'll explain a little bit.
>
> I have 4k x 4k images that I want to analyse. I turn them into numpy arrays so
> I have 4k x 4k np.array.
>
> My analysis starts with determining the bias level. To do that, I compute for
> each line, and then for each row, an histogram.
> So I compute 8000 histograms.
>
> Here is the code I've used sofar:
>
>        for i in range(self.data.shape[0]):
>           #Compute an histogram along the columns
>           # Gets counts and bounds
>            self.countsC[i], self.boundsC[i] = np.histogram(data[i],
> bins=self.bins)
>        for i in range(self.data.shape[1]):
>            # Do the same, along the rows.
>            self.countsR[i], self.boundsR[i] = np.histogram(data[:,i],
> bins=self.bins)
>
> And data.shape is (4000,4000).
>
> If histogram  had an axis parameter, I could avoid the loop and I guess it
> would be faster.
>
> Éric.
>> So it seems that you give your array directly to histogramdd (asking a
>> 4000D histogram!). Surely that's not what you are trying to achieve. Can
>> you elaborate more on your objectives? Perhaps some code (slow but
>> working) to demonstrate the point.
>>
>> Regards,
>> eat
>>
>
> Un clavier azerty en vaut deux
> ----------------------------------------------------------
> Éric Depagne                            eric at depagne.org
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