diff --git a/examples/statistics/time_series_histogram.py b/examples/statistics/time_series_histogram.py
index 94f904fab91e..a22ceb4e24d4 100644
--- a/examples/statistics/time_series_histogram.py
+++ b/examples/statistics/time_series_histogram.py
@@ -41,7 +41,7 @@
 # Generate unbiased Gaussian random walks
 Y = np.cumsum(np.random.randn(num_series, num_points), axis=-1)
 # Generate sinusoidal signals
-num_signal = int(round(SNR * num_series))
+num_signal = round(SNR * num_series)
 phi = (np.pi / 8) * np.random.randn(num_signal, 1)  # small random offset
 Y[-num_signal:] = (
     np.sqrt(np.arange(num_points))[None, :]  # random walk RMS scaling factor
diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
index f8a18443c9e0..73a5379f5d47 100644
--- a/lib/matplotlib/colors.py
+++ b/lib/matplotlib/colors.py
@@ -515,7 +515,7 @@ def to_hex(c, keep_alpha=False):
     c = to_rgba(c)
     if not keep_alpha:
         c = c[:3]
-    return "#" + "".join(format(int(round(val * 255)), "02x") for val in c)
+    return "#" + "".join(format(round(val * 255), "02x") for val in c)
 
 
 ### Backwards-compatible color-conversion API
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
index 6401b64dc248..342a8b663372 100644
--- a/lib/matplotlib/image.py
+++ b/lib/matplotlib/image.py
@@ -1244,8 +1244,8 @@ def make_image(self, renderer, magnification=1.0, unsampled=False):
         l, b, r, t = self.axes.bbox.extents
         width = (round(r) + 0.5) - (round(l) - 0.5)
         height = (round(t) + 0.5) - (round(b) - 0.5)
-        width = int(round(width * magnification))
-        height = int(round(height * magnification))
+        width = round(width * magnification)
+        height = round(height * magnification)
         vl = self.axes.viewLim
 
         x_pix = np.linspace(vl.x0, vl.x1, width)
diff --git a/lib/matplotlib/patches.py b/lib/matplotlib/patches.py
index f61524f65597..22b5e90946d8 100644
--- a/lib/matplotlib/patches.py
+++ b/lib/matplotlib/patches.py
@@ -2568,9 +2568,9 @@ def _get_sawtooth_vertices(self, x0, y0, width, height, mutation_size):
 
             # the sizes of the vertical and horizontal sawtooth are
             # separately adjusted to fit the given box size.
-            dsx_n = int(round((width - tooth_size) / (tooth_size * 2))) * 2
+            dsx_n = round((width - tooth_size) / (tooth_size * 2)) * 2
             dsx = (width - tooth_size) / dsx_n
-            dsy_n = int(round((height - tooth_size) / (tooth_size * 2))) * 2
+            dsy_n = round((height - tooth_size) / (tooth_size * 2)) * 2
             dsy = (height - tooth_size) / dsy_n
 
             x0, y0 = x0 - pad + tooth_size2, y0 - pad + tooth_size2
diff --git a/lib/mpl_toolkits/mplot3d/axes3d.py b/lib/mpl_toolkits/mplot3d/axes3d.py
index 23b3571a4a38..e7bb091f4bb0 100644
--- a/lib/mpl_toolkits/mplot3d/axes3d.py
+++ b/lib/mpl_toolkits/mplot3d/axes3d.py
@@ -2021,9 +2021,9 @@ def _3d_extend_contour(self, cset, stride=5):
                     continue
 
             stepsize = (len(topverts[0]) - 1) / (nsteps - 1)
-            for i in range(int(round(nsteps)) - 1):
-                i1 = int(round(i * stepsize))
-                i2 = int(round((i + 1) * stepsize))
+            for i in range(round(nsteps) - 1):
+                i1 = round(i * stepsize)
+                i2 = round((i + 1) * stepsize)
                 polyverts.append([topverts[0][i1],
                                   topverts[0][i2],
                                   botverts[0][i2],