diff --git a/doc/users/next_whats_new/polar_errorbar_caps.rst b/doc/users/next_whats_new/polar_errorbar_caps.rst
new file mode 100644
index 000000000000..c73f0210cc71
--- /dev/null
+++ b/doc/users/next_whats_new/polar_errorbar_caps.rst
@@ -0,0 +1,4 @@
+Polar errorbar caps are rotated
+-------------------------------
+When plotting errorbars on a polar plot, the caps are now rotated so they are
+perpendicular to the errorbars.
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index b8a7c3b2c6bb..c43c847c9946 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3439,10 +3439,11 @@ def _upcast_err(err):
eb_cap_style['color'] = ecolor
barcols = []
- caplines = []
+ caplines = {'x': [], 'y': []}
# Vectorized fancy-indexer.
- def apply_mask(arrays, mask): return [array[mask] for array in arrays]
+ def apply_mask(arrays, mask):
+ return [array[mask] for array in arrays]
# dep: dependent dataset, indep: independent dataset
for (dep_axis, dep, err, lolims, uplims, indep, lines_func,
@@ -3486,7 +3487,7 @@ def apply_mask(arrays, mask): return [array[mask] for array in arrays]
line = mlines.Line2D(indep_masked, indep_masked,
marker=marker, **eb_cap_style)
line.set(**{f"{dep_axis}data": lh_masked})
- caplines.append(line)
+ caplines[dep_axis].append(line)
for idx, (lims, hl) in enumerate([(lolims, high), (uplims, low)]):
if not lims.any():
continue
@@ -3500,15 +3501,28 @@ def apply_mask(arrays, mask): return [array[mask] for array in arrays]
line = mlines.Line2D(x_masked, y_masked,
marker=hlmarker, **eb_cap_style)
line.set(**{f"{dep_axis}data": hl_masked})
- caplines.append(line)
+ caplines[dep_axis].append(line)
if capsize > 0:
- caplines.append(mlines.Line2D(
+ caplines[dep_axis].append(mlines.Line2D(
x_masked, y_masked, marker=marker, **eb_cap_style))
- for l in caplines:
- self.add_line(l)
+ for axis in caplines:
+ for l in caplines[axis]:
+ if self.name == 'polar':
+ # Rotate caps to be perpendicular to the error bars
+ for theta, r in zip(l.get_xdata(), l.get_ydata()):
+ rotation = theta
+ if axis == 'x':
+ rotation += np.pi / 2
+ ms = mmarkers.MarkerStyle(marker=marker)
+ ms._transform = mtransforms.Affine2D().rotate(rotation)
+ self.add_line(mlines.Line2D([theta], [r], marker=ms,
+ **eb_cap_style))
+ else:
+ self.add_line(l)
self._request_autoscale_view()
+ caplines = caplines['x'] + caplines['y']
errorbar_container = ErrorbarContainer(
(data_line, tuple(caplines), tuple(barcols)),
has_xerr=(xerr is not None), has_yerr=(yerr is not None),
diff --git a/lib/matplotlib/tests/baseline_images/test_axes/errorbar_polar_caps.png b/lib/matplotlib/tests/baseline_images/test_axes/errorbar_polar_caps.png
new file mode 100644
index 000000000000..b11485526e6c
Binary files /dev/null and b/lib/matplotlib/tests/baseline_images/test_axes/errorbar_polar_caps.png differ
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 5da2df1455db..cdf61b92e930 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -3376,6 +3376,16 @@ def test_errorbar():
ax.set_title("Simplest errorbars, 0.2 in x, 0.4 in y")
+@image_comparison(['errorbar_polar_caps'], extensions=['png'])
+def test_errorbar_polar_caps():
+ fig = plt.figure()
+ ax = plt.subplot(111, projection='polar')
+ theta = np.arange(0, 2*np.pi, np.pi / 4)
+ r = theta / np.pi / 2 + 0.5
+ ax.errorbar(theta, r, xerr=0.15, yerr=0.1)
+ ax.set_rlim(0, 2)
+
+
def test_errorbar_colorcycle():
f, ax = plt.subplots()
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