fix ZeroDivisionError when original bucket width is 0 by checking the width.

mindinsight/datavisual/data_transform/histogram_container.py

@@ -225,7 +225,10 @@ class HistogramContainer:
                 intersection = self._calc_intersection_len(
                     min1=cur_left, max1=cur_right,
                     min2=original_bucket.left, max2=original_bucket.right)
-                estimated_count = (intersection / original_bucket.width) * original_bucket.count
+                if not original_bucket.width:
+                    estimated_count = original_bucket.count
+                else:
+                    estimated_count = (intersection / original_bucket.width) * original_bucket.count
 
                 cur_estimated_count += estimated_count
                 if cur_right > original_bucket.right:

tests/ut/datavisual/data_transform/test_histogram_container.py

@@ -83,3 +83,23 @@ class TestHistogram:
         assert buckets == (
             (-1.0, 0.8, 0), (-0.19999999999999996, 0.8, 1), (0.6000000000000001, 0.8, 5), (1.4000000000000004, 0.8, 6),
             (2.2, 0.8, 0))
+
+    def test_re_sample_buckets_zero_width(self):
+        """Test zero width bucket when re-sampling."""
+        mocked_input = mock.MagicMock()
+        mocked_bucket = mock.MagicMock()
+        mocked_bucket.left = 0
+        mocked_bucket.width = 1
+        mocked_bucket.count = 1
+        mocked_bucket2 = mock.MagicMock()
+        mocked_bucket2.left = 1
+        mocked_bucket2.width = 0
+        mocked_bucket2.count = 2
+        mocked_input.buckets = [mocked_bucket, mocked_bucket2]
+        histogram = hist.HistogramContainer(mocked_input)
+        histogram.set_visual_range(max_val=2, min_val=0, bins=3)
+        buckets = histogram.buckets()
+        assert buckets == (
+            (0.0, 0.6666666666666666, 1),
+            (0.6666666666666666, 0.6666666666666666, 3),
+            (1.3333333333333333, 0.6666666666666666, 0))