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Commitdc6dee7

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change call signature of colorizer._ensure_multivariate_data()
changed from colorizer._ensure_multivariate_data(n_input, A)to colorizer._ensure_multivariate_data(A, n_input)
1 parent15adfc1 commitdc6dee7

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3 files changed

+7
-7
lines changed

3 files changed

+7
-7
lines changed

‎lib/matplotlib/axes/_axes.py

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -6195,8 +6195,8 @@ def pcolor(self, *args, shading=None, alpha=None, norm=None, cmap=None,
61956195
# If provided, _pcolorargs will check that X, Y and C have the same shape.
61966196
# Before this check, we need to convert C from shape (K, N, M), where K is
61976197
# the number of variates, to (N, M) with a data type with K fields.
6198-
data=mcolorizer._ensure_multivariate_data(colorizer_obj.norm.n_input,
6199-
args[-1])
6198+
data=mcolorizer._ensure_multivariate_data(args[-1],
6199+
colorizer_obj.norm.n_input)
62006200
args= (*args[:-1],data)
62016201

62026202
X,Y,C,shading=self._pcolorargs('pcolor',*args,shading=shading,
@@ -6474,8 +6474,8 @@ def pcolormesh(self, *args, alpha=None, norm=None, cmap=None, vmin=None,
64746474
# If provided, _pcolorargs will check that X, Y and C have the same shape.
64756475
# Before this check, we need to convert C from shape (K, N, M), where K is
64766476
# the number of variates, to (N, M) with a data type with K fields.
6477-
data=mcolorizer._ensure_multivariate_data(colorizer_obj.norm.n_input,
6478-
args[-1])
6477+
data=mcolorizer._ensure_multivariate_data(args[-1],
6478+
colorizer_obj.norm.n_input)
64796479
args= (*args[:-1],data)
64806480

64816481
X,Y,C,shading=self._pcolorargs('pcolormesh',*args,

‎lib/matplotlib/colorizer.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -582,7 +582,7 @@ def set_array(self, A):
582582
self._A=None
583583
return
584584

585-
A=_ensure_multivariate_data(self.norm.n_input,A)
585+
A=_ensure_multivariate_data(A,self.norm.n_input)
586586

587587
A=cbook.safe_masked_invalid(A,copy=True)
588588
ifnotnp.can_cast(A.dtype,float,"same_kind"):
@@ -862,7 +862,7 @@ def _ensure_cmap(cmap, accept_multivariate=False):
862862
returncm.colormaps[cmap_name]
863863

864864

865-
def_ensure_multivariate_data(n_input,data):
865+
def_ensure_multivariate_data(data,n_input):
866866
"""
867867
Ensure that the data has dtype with n_input.
868868
Input data of shape (n_input, n, m) is converted to an array of shape

‎lib/matplotlib/image.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -643,7 +643,7 @@ def _normalize_image_array(A, n_input=1):
643643
Check validity of image-like input *A* and normalize it to a format suitable for
644644
Image subclasses.
645645
"""
646-
A=mcolorizer._ensure_multivariate_data(n_input,A)
646+
A=mcolorizer._ensure_multivariate_data(A,n_input)
647647
A=cbook.safe_masked_invalid(A,copy=True)
648648
ifn_input==1:
649649
ifA.dtype!=np.uint8andnotnp.can_cast(A.dtype,float,"same_kind"):

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