matplotlib
diff --git a/‎lib/matplotlib/colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.py
+1-1Lines changed: 1 addition & 1 deletion b/‎lib/matplotlib/colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.py
+1-1Lines changed: 1 addition & 1 deletion
diff --git a/‎lib/matplotlib/image.py
Copy file name to clipboardExpand all lines: lib/matplotlib/image.py
+3-3Lines changed: 3 additions & 3 deletions b/‎lib/matplotlib/image.py
Copy file name to clipboardExpand all lines: lib/matplotlib/image.py
+3-3Lines changed: 3 additions & 3 deletions
@@ -98,7 +98,7 @@ def _sanitize_extrema(ex):
     if ex is None:
         return ex
     try:
-        ret = np.asscalar(ex)
+        ret = ex.item()
     except AttributeError:
         ret = float(ex)
     return ret
 
@@ -421,9 +421,9 @@ def _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification=1.0,
 
                 A_scaled -= a_min
                 # a_min and a_max might be ndarray subclasses so use
-                # asscalar to avoid errors
-                a_min = np.asscalar(a_min.astype(scaled_dtype))
-                a_max = np.asscalar(a_max.astype(scaled_dtype))
+                # item to avoid errors
+                a_min = a_min.astype(scaled_dtype).item()
+                a_max = a_max.astype(scaled_dtype).item()
 
                 if a_min != a_max:
                     A_scaled /= ((a_max - a_min) / 0.8)