def create_ranges(a):
l = a[:,1] - a[:,0]
clens = l.cumsum()
ids = np.ones(clens[-1],dtype=int)
ids[0] = a[0,0]
ids[clens[:-1]] = a[1:,0] - a[:-1,1]+1
out = ids.cumsum()
return out
样品运行-
In [416]: a = np.array([[4,7],[10,16],[11,18]])
In [417]: create_ranges(a)
Out[417]: array([ 4, 5, 6, 10, 11, 12, 13, 14, 15, 11, 12, 13, 14, 15, 16, 17])
In [425]: a = np.array([[-2,4],[-5,2],[11,12]])
In [426]: create_ranges(a)
Out[426]: array([-2, -1, 0, 1, 2, 3, -5, -4, -3, -2, -1, 0, 1, 11])
如果给定开始和停止两个1D数组，则只需要使用它们代替第一列和第二列即可。为了完整起见，这是完整的代码-
def create_ranges(starts, ends):
l = ends - starts
clens = l.cumsum()
ids = np.ones(clens[-1],dtype=int)
ids[0] = starts[0]
ids[clens[:-1]] = starts[1:] - ends[:-1]+1
out = ids.cumsum()
return out
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