diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 01252b2bfa15..08a2f75efded 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -4603,6 +4603,9 @@ def reduce_C_function(C: array) -> float
y = np.log10(y)
if extent is not None:
xmin, xmax, ymin, ymax = extent
+ if xmin > xmax or ymin > ymax:
+ raise ValueError("extent values in wrong order. Should be"
+ " (left, right, bottom, top)")
else:
xmin, xmax = (np.min(x), np.max(x)) if len(x) else (0, 1)
ymin, ymax = (np.min(y), np.max(y)) if len(y) else (0, 1)
@@ -4783,32 +4786,28 @@ def reduce_C_function(C: array) -> float
if not marginals:
return collection
- if C is None:
- C = np.ones(len(x))
-
def coarse_bin(x, y, coarse):
- ind = coarse.searchsorted(x).clip(0, len(coarse) - 1)
- mus = np.zeros(len(coarse))
- for i in range(len(coarse)):
- yi = y[ind == i]
- if len(yi) > 0:
- mu = reduce_C_function(yi)
- else:
- mu = np.nan
- mus[i] = mu
+ ind = coarse.searchsorted(x)
+ mus = np.zeros(len(coarse)-1)
+ if y is None:
+ for i in range(len(coarse)-1):
+ mus[i] = np.sum(ind == i+1)
+ else:
+ for i in range(len(coarse)-1):
+ yi = y[ind == i+1]
+ if len(yi) > 0:
+ mus[i] = reduce_C_function(yi)
+ mus[mus == 0] = np.nan
return mus
- coarse = np.linspace(xmin, xmax, gridsize)
+ coarse = np.linspace(xmin, xmax, nx+1)
xcoarse = coarse_bin(xorig, C, coarse)
valid = ~np.isnan(xcoarse)
verts, values = [], []
for i, val in enumerate(xcoarse):
thismin = coarse[i]
- if i < len(coarse) - 1:
- thismax = coarse[i + 1]
- else:
- thismax = thismin + np.diff(coarse)[-1]
+ thismax = coarse[i + 1]
if not valid[i]:
continue
@@ -4831,27 +4830,29 @@ def coarse_bin(x, y, coarse):
hbar.update(kwargs)
self.add_collection(hbar, autolim=False)
- coarse = np.linspace(ymin, ymax, gridsize)
+ coarse = np.linspace(ymin, ymax, ny+1)
+
ycoarse = coarse_bin(yorig, C, coarse)
valid = ~np.isnan(ycoarse)
verts, values = [], []
for i, val in enumerate(ycoarse):
thismin = coarse[i]
- if i < len(coarse) - 1:
- thismax = coarse[i + 1]
- else:
- thismax = thismin + np.diff(coarse)[-1]
+ thismax = coarse[i + 1]
+
if not valid[i]:
continue
- verts.append([(0, thismin), (0.0, thismax),
- (0.05, thismax), (0.05, thismin)])
+
+ verts.append([(0, thismin),
+ (0, thismax),
+ (0.05, thismax),
+ (0.05, thismin)])
values.append(val)
values = np.array(values)
-
trans = self.get_yaxis_transform(which='grid')
vbar = mcoll.PolyCollection(verts, transform=trans, edgecolors='face')
+
vbar.set_array(values)
vbar.set_cmap(cmap)
vbar.set_norm(norm)
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