diff --git a/lib/matplotlib/colorbar.py b/lib/matplotlib/colorbar.py
index 7896ca69e1db..f3b29ee429e5 100644
--- a/lib/matplotlib/colorbar.py
+++ b/lib/matplotlib/colorbar.py
@@ -817,6 +817,12 @@ def _get_ticker_locator_formatter(self):
b = self.norm.boundaries
if locator is None:
locator = ticker.FixedLocator(b, nbins=10)
+ elif isinstance(self.norm, colors.NoNorm):
+ if locator is None:
+ # put ticks on integers between the boundaries of NoNorm
+ nv = len(self._values)
+ base = 1 + int(nv / 10)
+ locator = ticker.IndexLocator(base=base, offset=.5)
elif self.boundaries is not None:
b = self._boundaries[self._inside]
if locator is None:
@@ -828,11 +834,6 @@ def _get_ticker_locator_formatter(self):
locator = self._long_axis().get_major_locator()
if minorlocator is None:
minorlocator = self._long_axis().get_minor_locator()
- if isinstance(self.norm, colors.NoNorm):
- # default locator:
- nv = len(self._values)
- base = 1 + int(nv / 10)
- locator = ticker.IndexLocator(base=base, offset=0)
if minorlocator is None:
minorlocator = ticker.NullLocator()
@@ -1090,6 +1091,9 @@ def _process_values(self):
# otherwise values are set from the boundaries
if isinstance(self.norm, colors.BoundaryNorm):
b = self.norm.boundaries
+ elif isinstance(self.norm, colors.NoNorm):
+ # NoNorm has N blocks, so N+1 boundaries, centered on integers:
+ b = np.arange(self.cmap.N + 1) - .5
else:
# otherwise make the boundaries from the size of the cmap:
N = self.cmap.N + 1
diff --git a/lib/matplotlib/tests/baseline_images/test_colorbar/nonorm_colorbars.svg b/lib/matplotlib/tests/baseline_images/test_colorbar/nonorm_colorbars.svg
new file mode 100644
index 000000000000..85f92c3c8d64
--- /dev/null
+++ b/lib/matplotlib/tests/baseline_images/test_colorbar/nonorm_colorbars.svg
@@ -0,0 +1,151 @@
+
+
+
+
+
+
+ 2021-12-06T14:23:33.155376
+ image/svg+xml
+
+
+ Matplotlib v3.6.0.dev954+ged9e9c2ef2.d20211206, https://matplotlib.org/
+
+
+
+
+
+
+
+
+
+
+
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+
+
+
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+
+
+
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+ 0
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+ 1
+
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+
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+ 2
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+ 3
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+ 4
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+
+
+
+
+
+
+
diff --git a/lib/matplotlib/tests/test_colorbar.py b/lib/matplotlib/tests/test_colorbar.py
index 1e2204d8d069..17992a09e396 100644
--- a/lib/matplotlib/tests/test_colorbar.py
+++ b/lib/matplotlib/tests/test_colorbar.py
@@ -7,10 +7,11 @@
from matplotlib import rc_context
from matplotlib.testing.decorators import image_comparison
import matplotlib.pyplot as plt
-from matplotlib.colors import BoundaryNorm, LogNorm, PowerNorm, Normalize
+from matplotlib.colors import (
+ BoundaryNorm, LogNorm, PowerNorm, Normalize, NoNorm
+)
from matplotlib.colorbar import Colorbar
from matplotlib.ticker import FixedLocator
-
from matplotlib.testing.decorators import check_figures_equal
@@ -911,3 +912,18 @@ def test_negative_boundarynorm():
cb = fig.colorbar(cm.ScalarMappable(cmap=cmap, norm=norm), cax=ax)
np.testing.assert_allclose(cb.ax.get_ylim(), [clevs[0], clevs[-1]])
np.testing.assert_allclose(cb.ax.get_yticks(), clevs)
+
+
+@image_comparison(['nonorm_colorbars.svg'], remove_text=False,
+ style='mpl20')
+def test_nonorm():
+ plt.rcParams['svg.fonttype'] = 'none'
+ data = [1, 2, 3, 4, 5]
+
+ fig, ax = plt.subplots(figsize=(6, 1))
+ fig.subplots_adjust(bottom=0.5)
+
+ norm = NoNorm(vmin=min(data), vmax=max(data))
+ cmap = cm.get_cmap("viridis", len(data))
+ mappable = cm.ScalarMappable(norm=norm, cmap=cmap)
+ cbar = fig.colorbar(mappable, cax=ax, orientation="horizontal")
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