util.countnans: Don't treat single-row sparse matrices as 1-d

Author: janezd

Orange/statistics/util.py

@@ -212,10 +212,7 @@ def countnans(x, weights=None, axis=None, dtype=None, keepdims=False):
         arr = arr.tocsr()
         counts = _count_nans_per_row_sparse(arr, weights, dtype=dtype)
 
-        # We want a scalar value if `axis=None` or if the sparse matrix is
-        # actually a vector (e.g. [[1 2 3]]), but has `ndim=2` due to scipy
-        # implementation
-        if axis is None or x.shape[0] == 1:
+        if axis is None:
             counts = counts.sum(dtype=dtype)
 
     return counts