Closed mdbartos closed 5 years ago
Seems to happen when np.unique
doesn't group near-duplicates as duplicates:
U, N = np.unique(xy, axis=0, return_counts=True)
U[[1704, 1705]]
>>> array([[43.1, 2. , 42.4],
[43.1, 2. , 42.4]])
U[1704, 2], U[1705, 2]
>>> 42.399999999999864 42.399999999999906
Fixed in #32
Traceback: