diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
index fdb4294b9696..32e282f6f563 100644
--- a/lib/matplotlib/colors.py
+++ b/lib/matplotlib/colors.py
@@ -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
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
index 3ea0cb70d3e1..58a28c8f689a 100644
--- a/lib/matplotlib/image.py
+++ b/lib/matplotlib/image.py
@@ -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)
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