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Commite89114e

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Merge pull request#14645 from anntzer/with_extremes
Add a helper to copy a colormap and set its extreme colors.
2 parents03c293b +05b9573 commite89114e

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7 files changed

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-30
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7 files changed

+47
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Lines changed: 13 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,13 @@
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`.Colormap.set_extremes` and `.Colormap.with_extremes`
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``````````````````````````````````````````````````````
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Because the `.Colormap.set_bad`, `.Colormap.set_under` and `.Colormap.set_over`
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methods modify the colormap in place, the user must be careful to first make a
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copy of the colormap if setting the extreme colors e.g. for a builtin colormap.
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The new ``Colormap.with_extremes(bad=..., under=..., over=...)`` can be used to
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first copy the colormap and set the extreme colors on that copy.
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The new `.Colormap.set_extremes` method is provided for API symmetry with
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`.Colormap.with_extremes`, but note that it suffers from the same issue as the
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earlier individual setters.

‎examples/images_contours_and_fields/image_masked.py‎

Lines changed: 1 addition & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,6 @@
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The second subplot illustrates the use of BoundaryNorm to
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get a filled contour effect.
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"""
11-
fromcopyimportcopy
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importnumpyasnp
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importmatplotlib.pyplotasplt
@@ -25,11 +24,7 @@
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Z= (Z1-Z2)*2
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# Set up a colormap:
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# use copy so that we do not mutate the global colormap instance
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palette=copy(plt.cm.gray)
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palette.set_over('r',1.0)
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palette.set_under('g',1.0)
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palette.set_bad('b',1.0)
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palette=plt.cm.gray.with_extremes(over='r',under='g',bad='b')
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# Alternatively, we could use
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# palette.set_bad(alpha = 0.0)
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# to make the bad region transparent. This is the default.

‎examples/images_contours_and_fields/quadmesh_demo.py‎

Lines changed: 2 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -9,8 +9,6 @@
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This demo illustrates a bug in quadmesh with masked data.
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"""
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12-
importcopy
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frommatplotlibimportcm,pyplotasplt
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importnumpyasnp
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@@ -30,10 +28,8 @@
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axs[0].pcolormesh(Qx,Qz,Z,shading='gouraud')
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axs[0].set_title('Without masked values')
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33-
# You can control the color of the masked region. We copy the default colormap
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# before modifying it.
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cmap=copy.copy(cm.get_cmap(plt.rcParams['image.cmap']))
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cmap.set_bad('y',1.0)
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# You can control the color of the masked region.
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cmap=cm.get_cmap(plt.rcParams['image.cmap']).with_extremes(bad='y')
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axs[1].pcolormesh(Qx,Qz,Zm,shading='gouraud',cmap=cmap)
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axs[1].set_title('With masked values')
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‎examples/specialty_plots/leftventricle_bulleye.py‎

Lines changed: 2 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -162,9 +162,8 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):
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# The second example illustrates the use of a ListedColormap, a
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# BoundaryNorm, and extended ends to show the "over" and "under"
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# value colors.
165-
cmap3=mpl.colors.ListedColormap(['r','g','b','c'])
166-
cmap3.set_over('0.35')
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cmap3.set_under('0.75')
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cmap3= (mpl.colors.ListedColormap(['r','g','b','c'])
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.with_extremes(over='0.35',under='0.75'))
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# If a ListedColormap is used, the length of the bounds array must be
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# one greater than the length of the color list. The bounds must be
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# monotonically increasing.

‎lib/matplotlib/colors.py‎

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Original file line numberDiff line numberDiff line change
@@ -67,6 +67,7 @@
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importbase64
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fromcollections.abcimportSized
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importcopy
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importfunctools
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importinspect
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importio
@@ -687,6 +688,28 @@ def set_over(self, color='k', alpha=None):
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ifself._isinit:
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self._set_extremes()
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defset_extremes(self,*,bad=None,under=None,over=None):
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"""
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Set the colors for masked (*bad*) values and, when ``norm.clip =
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False``, low (*under*) and high (*over*) out-of-range values.
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"""
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ifbadisnotNone:
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self.set_bad(bad)
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ifunderisnotNone:
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self.set_under(under)
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ifoverisnotNone:
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self.set_over(over)
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defwith_extremes(self,*,bad=None,under=None,over=None):
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"""
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Return a copy of the colormap, for which the colors for masked (*bad*)
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values and, when ``norm.clip = False``, low (*under*) and high (*over*)
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out-of-range values, have been set accordingly.
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"""
709+
new_cm=copy.copy(self)
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new_cm.set_extremes(bad=bad,under=under,over=over)
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returnnew_cm
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def_set_extremes(self):
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ifself._rgba_under:
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self._lut[self._i_under]=self._rgba_under

‎lib/matplotlib/tests/test_image.py‎

Lines changed: 2 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -799,10 +799,7 @@ def test_mask_image_over_under():
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(2*np.pi*0.5*1.5))
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Z=10*(Z2-Z1)# difference of Gaussians
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802-
palette=copy(plt.cm.gray)
803-
palette.set_over('r',1.0)
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palette.set_under('g',1.0)
805-
palette.set_bad('b',1.0)
802+
palette=plt.cm.gray.with_extremes(over='r',under='g',bad='b')
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Zm=np.ma.masked_where(Z>1.2,Z)
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fig, (ax1,ax2)=plt.subplots(1,2)
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im=ax1.imshow(Zm,interpolation='bilinear',
@@ -868,10 +865,7 @@ def test_imshow_endianess():
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remove_text=True,style='mpl20')
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deftest_imshow_masked_interpolation():
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871-
cm=copy(plt.get_cmap('viridis'))
872-
cm.set_over('r')
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cm.set_under('b')
874-
cm.set_bad('k')
868+
cm=plt.get_cmap('viridis').with_extremes(over='r',under='b',bad='k')
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N=20
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n=colors.Normalize(vmin=0,vmax=N*N-1)

‎tutorials/colors/colorbar_only.py‎

Lines changed: 4 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -86,9 +86,8 @@
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fig,ax=plt.subplots(figsize=(6,1))
8787
fig.subplots_adjust(bottom=0.5)
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89-
cmap=mpl.colors.ListedColormap(['red','green','blue','cyan'])
90-
cmap.set_over('0.25')
91-
cmap.set_under('0.75')
89+
cmap= (mpl.colors.ListedColormap(['red','green','blue','cyan'])
90+
.with_extremes(over='0.25',under='0.75'))
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9392
bounds= [1,2,4,7,8]
9493
norm=mpl.colors.BoundaryNorm(bounds,cmap.N)
@@ -114,10 +113,8 @@
114113
fig,ax=plt.subplots(figsize=(6,1))
115114
fig.subplots_adjust(bottom=0.5)
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117-
cmap=mpl.colors.ListedColormap(['royalblue','cyan',
118-
'yellow','orange'])
119-
cmap.set_over('red')
120-
cmap.set_under('blue')
116+
cmap= (mpl.colors.ListedColormap(['royalblue','cyan','yellow','orange'])
117+
.with_extremes(over='red',under='blue'))
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122119
bounds= [-1.0,-0.5,0.0,0.5,1.0]
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norm=mpl.colors.BoundaryNorm(bounds,cmap.N)

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