diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index bea97102006b..80ec1612688b 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -734,7 +734,8 @@ def safe_masked_invalid(x, copy=False):
if not x.dtype.isnative:
# If we have already made a copy, do the byteswap in place, else make a
# copy with the byte order swapped.
- x = x.byteswap(inplace=copy).newbyteorder('N') # Swap to native order.
+ # Swap to native order.
+ x = x.byteswap(inplace=copy).view(x.dtype.newbyteorder('N'))
try:
xm = np.ma.masked_where(~(np.isfinite(x)), x, copy=False)
except TypeError:
diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
index d0d20806666a..904b6ecfa04b 100644
--- a/lib/matplotlib/colors.py
+++ b/lib/matplotlib/colors.py
@@ -726,7 +726,8 @@ def __call__(self, X, alpha=None, bytes=False):
xa = np.array(X, copy=True)
if not xa.dtype.isnative:
- xa = xa.byteswap().newbyteorder() # Native byteorder is faster.
+ # Native byteorder is faster.
+ xa = xa.byteswap().view(xa.dtype.newbyteorder())
if xa.dtype.kind == "f":
xa *= self.N
# xa == 1 (== N after multiplication) is not out of range.
@@ -2161,7 +2162,7 @@ def rgb_to_hsv(arr):
out = np.zeros_like(arr)
arr_max = arr.max(-1)
ipos = arr_max > 0
- delta = arr.ptp(-1)
+ delta = np.ptp(arr, -1)
s = np.zeros_like(delta)
s[ipos] = delta[ipos] / arr_max[ipos]
ipos = delta > 0
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 3b5f9019ead2..ab9dab03e543 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1333,7 +1333,7 @@ def test_pcolormesh():
Qz = np.sin(Y) + np.sin(X)
Qx = (Qx + 1.1)
Z = np.hypot(X, Y) / 5
- Z = (Z - Z.min()) / Z.ptp()
+ Z = (Z - Z.min()) / np.ptp(Z)
# The color array can include masked values:
Zm = ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)
@@ -1354,7 +1354,7 @@ def test_pcolormesh_small():
Qz = np.sin(Y) + np.sin(X)
Qx = (Qx + 1.1)
Z = np.hypot(X, Y) / 5
- Z = (Z - Z.min()) / Z.ptp()
+ Z = (Z - Z.min()) / np.ptp(Z)
Zm = ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)
Zm2 = ma.masked_where(Qz < -0.5 * np.max(Qz), Z)
@@ -1384,7 +1384,7 @@ def test_pcolormesh_alpha():
Qx = X
Qy = Y + np.sin(X)
Z = np.hypot(X, Y) / 5
- Z = (Z - Z.min()) / Z.ptp()
+ Z = (Z - Z.min()) / np.ptp(Z)
vir = mpl.colormaps["viridis"].resampled(16)
# make another colormap with varying alpha
colors = vir(np.arange(16))
diff --git a/lib/matplotlib/tests/test_colors.py b/lib/matplotlib/tests/test_colors.py
index e8fc9baa1479..1c77f995fb53 100644
--- a/lib/matplotlib/tests/test_colors.py
+++ b/lib/matplotlib/tests/test_colors.py
@@ -216,7 +216,7 @@ def test_colormap_endian():
a = [-0.5, 0, 0.5, 1, 1.5, np.nan]
for dt in ["f2", "f4", "f8"]:
anative = np.ma.masked_invalid(np.array(a, dtype=dt))
- aforeign = anative.byteswap().newbyteorder()
+ aforeign = anative.byteswap().view(anative.dtype.newbyteorder())
assert_array_equal(cmap(anative), cmap(aforeign))
@@ -1126,7 +1126,7 @@ def alternative_hillshade(azimuth, elev, z):
intensity = np.tensordot(normals, illum, axes=(2, 0))
intensity -= intensity.min()
- intensity /= intensity.ptp()
+ intensity /= np.ptp(intensity)
return intensity
y, x = np.mgrid[5:0:-1, :5]
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