Table: _compute_distribution no longer converts X to csc

biolab · Apr 2, 2021 · 17d37fe · 17d37fe
1 parent 496a7d1
commit 17d37fe
Showing 1 changed file with 7 additions and 5 deletions.
diff --git a/Orange/data/table.py b/Orange/data/table.py
@@ -1699,23 +1699,25 @@ def _compute_distributions(self, columns=None):
             columns = [self.domain.index(var) for var in columns]
 
         distributions = []
-        if sp.issparse(self.X):
-            self.X = self.X.tocsc()
+        X = self.X
+        if sp.issparse(X):
+            X = X.tocsc()
+
 
         W = self.W.ravel() if self.has_weights() else None
 
         for col in columns:
             variable = self.domain[col]
 
             # Select the correct data column from X, Y or metas
-            if 0 <= col < self.X.shape[1]:
-                x = self.X[:, col]
+            if 0 <= col < x.shape[1]:
+                x = X[:, col]
             elif col < 0:
                 x = self.metas[:, col * (-1) - 1]
                 if np.issubdtype(x.dtype, np.dtype(object)):
                     x = x.astype(float)
             else:
-                x = self._Y[:, col - self.X.shape[1]]
+                x = self._Y[:, col - X.shape[1]]
 
             if variable.is_discrete:
                 dist, unknowns = bincount(x, weights=W, max_val=len(variable.values) - 1)