python - How to sum contiguous nonzero elements within a numpy array -


here question
* value 2-d np.array(31 x 37) value 0,1.

it shows this:

only plot grid in blue color if value == 1 

 value_mask = np.ma.masked_less(value[:,:],0.001)  pc =plt.pcolor(xx,yy,value_mask,alpha =1,facecolor = "pink",edgecolor = 'steelblue',zorder =3)

enter image description here

how sum amount of contiguous "blue grid".

in case, mean 1 upper right grid isolated majority ignored.

you can use scipy.ndimage.label label contiguous regions in value array, sum number of elements each label:

import numpy np scipy import ndimage  value = np.array([[0, 0, 1, 1, 0, 0],                   [0, 0, 0, 1, 0, 0],                   [1, 1, 0, 0, 1, 0],                   [0, 0, 0, 1, 0, 0]])  # label contiguous regions of non-zero elements labels, nfeatures = ndimage.label(value)  # sizes of each region sizes = (labels == (np.arange(nfeatures) + 1)[:, none, none]).sum((1, 2))  biggest = sizes.max()   # number of non-zero elements in largest contiguous region  print(biggest) # 3

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