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Commit50bb88a

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Merge pull request#8156 from afvincent/add_missing_cmaps_to_perception_doc
DOC: Add missing cmaps to perception doc (fix for#8073)
2 parentsd10d9d9 +e442647 commit50bb88a

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4 files changed

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4 files changed

+121
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lines changed
Lines changed: 21 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -1,22 +1,24 @@
11
# Have colormaps separated into categories:
22
# http://matplotlib.org/examples/color/colormaps_reference.html
33

4-
cmaps= [('Perceptually Uniform Sequential',
5-
['viridis','inferno','plasma','magma']),
6-
('Sequential', ['Blues','BuGn','BuPu',
7-
'GnBu','Greens','Greys','Oranges','OrRd',
8-
'PuBu','PuBuGn','PuRd','Purples','RdPu',
9-
'Reds','YlGn','YlGnBu','YlOrBr','YlOrRd']),
10-
('Sequential (2)', ['afmhot','autumn','bone','cool',
11-
'copper','gist_heat','gray','hot',
12-
'pink','spring','summer','winter']),
13-
('Diverging', ['BrBG','bwr','coolwarm','PiYG','PRGn','PuOr',
14-
'RdBu','RdGy','RdYlBu','RdYlGn','Spectral',
15-
'seismic']),
16-
('Qualitative', ['Accent','Dark2','Paired','Pastel1',
17-
'Pastel2','Set1','Set2','Set3']),
18-
('Miscellaneous', ['gist_earth','terrain','ocean','gist_stern',
19-
'brg','CMRmap','cubehelix',
20-
'gnuplot','gnuplot2','gist_ncar',
21-
'nipy_spectral','jet','rainbow',
22-
'gist_rainbow','hsv','flag','prism'])]
4+
cmaps= [('Perceptually Uniform Sequential', [
5+
'viridis','plasma','inferno','magma']),
6+
('Sequential', [
7+
'Greys','Purples','Blues','Greens','Oranges','Reds',
8+
'YlOrBr','YlOrRd','OrRd','PuRd','RdPu','BuPu',
9+
'GnBu','PuBu','YlGnBu','PuBuGn','BuGn','YlGn']),
10+
('Sequential (2)', [
11+
'binary','gist_yarg','gist_gray','gray','bone','pink',
12+
'spring','summer','autumn','winter','cool','Wistia',
13+
'hot','afmhot','gist_heat','copper']),
14+
('Diverging', [
15+
'PiYG','PRGn','BrBG','PuOr','RdGy','RdBu',
16+
'RdYlBu','RdYlGn','Spectral','coolwarm','bwr','seismic']),
17+
('Qualitative', [
18+
'Pastel1','Pastel2','Paired','Accent',
19+
'Dark2','Set1','Set2','Set3',
20+
'tab10','tab20','tab20b','tab20c']),
21+
('Miscellaneous', [
22+
'flag','prism','ocean','gist_earth','terrain','gist_stern',
23+
'gnuplot','gnuplot2','CMRmap','cubehelix','brg','hsv',
24+
'gist_rainbow','rainbow','jet','nipy_spectral','gist_ncar'])]

‎doc/users/plotting/colormaps/grayscale.py

Lines changed: 14 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -1,39 +1,37 @@
11
'''
2-
Show what matplotlib colormaps look like in grayscale.
2+
==================================
3+
Grayscale version of the colormaps
4+
==================================
5+
6+
Show what Matplotlib colormaps look like in grayscale.
37
Uses lightness L* as a proxy for grayscale value.
48
'''
59

6-
fromcolormapsimportcmaps
7-
8-
#from skimage import color
9-
# we are using a local copy of colorconv from scikit-image to reduce dependencies.
10-
# You should probably use the one from scikit-image in most cases.
1110
importnumpyasnp
11+
importmatplotlibasmpl
1212
importmatplotlib.pyplotasplt
1313
frommatplotlibimportcm
14-
importmatplotlibasmpl
1514
fromcolorspaciousimportcspace_converter
15+
fromcolormapsimportcmaps# the colormaps, grouped by category
1616

1717
mpl.rcParams.update({'font.size':14})
1818

19-
20-
# indices to step through colormap
19+
# Indices to step through colormap.
2120
x=np.linspace(0.0,1.0,100)
2221

23-
# nrows = max(len(cmap_list) for cmap_category, cmap_list in cmaps)
2422
gradient=np.linspace(0,1,256)
2523
gradient=np.vstack((gradient,gradient))
2624

25+
2726
defplot_color_gradients(cmap_category,cmap_list):
28-
nrows=len(cmap_list)
29-
fig,axes=plt.subplots(nrows=nrows,ncols=2)
27+
fig,axes=plt.subplots(nrows=len(cmap_list),ncols=2)
3028
fig.subplots_adjust(top=0.95,bottom=0.01,left=0.2,right=0.99,
3129
wspace=0.05)
3230
fig.suptitle(cmap_category+' colormaps',fontsize=14,y=1.0,x=0.6)
3331

3432
forax,nameinzip(axes,cmap_list):
3533

36-
# Getrgb values for colormap
34+
# GetRGB values for colormap.
3735
rgb=cm.get_cmap(plt.get_cmap(name))(x)[np.newaxis,:,:3]
3836

3937
# Get colormap in CAM02-UCS colorspace. We want the lightness.
@@ -49,9 +47,9 @@ def plot_color_gradients(cmap_category, cmap_list):
4947
fig.text(x_text,y_text,name,va='center',ha='right',fontsize=10)
5048

5149
# Turn off *all* ticks & spines, not just the ones with colormaps.
52-
foraxinaxes:
53-
ax[0].set_axis_off()
54-
ax[1].set_axis_off()
50+
foraxinaxes.flat:
51+
ax.set_axis_off()
52+
5553
plt.show()
5654

5755

Lines changed: 65 additions & 85 deletions
Original file line numberDiff line numberDiff line change
@@ -1,120 +1,100 @@
11
'''
2+
==========================
3+
Lightness of the colormaps
4+
==========================
5+
26
For each colormap, plot the lightness parameter L* from CIELAB colorspace
37
along the y axis vs index through the colormap. Colormaps are examined in
48
categories as in the original matplotlib gallery of colormaps.
59
'''
610

7-
fromcolormapsimportcmaps
811
importnumpyasnp
12+
importmatplotlibasmpl
913
importmatplotlib.pyplotasplt
1014
frommatplotlibimportcm
11-
importmatplotlibasmpl
1215
fromcolorspaciousimportcspace_converter
16+
fromcolormapsimportcmaps# the colormaps, grouped by category
1317

1418
mpl.rcParams.update({'font.size':12})
1519

16-
# indices to step through colormap
20+
# Number of colormap per subplot for particular cmap categories
21+
_DSUBS= {'Perceptually Uniform Sequential':4,'Sequential':6,
22+
'Sequential (2)':6,'Diverging':6,'Qualitative':4,
23+
'Miscellaneous':6}
24+
25+
# Spacing between the colormaps of a subplot
26+
_DC= {'Perceptually Uniform Sequential':1.4,'Sequential':0.7,
27+
'Sequential (2)':1.4,'Diverging':1.4,'Qualitative':1.4,
28+
'Miscellaneous':1.4}
29+
30+
# Indices to step through colormap
1731
x=np.linspace(0.0,1.0,100)
1832

1933
# Do plot
2034
forcmap_category,cmap_listincmaps:
2135

22-
# Do subplots so that colormaps have enough space. 5 per subplot?
23-
dsub=5# number of colormaps per subplot
24-
ifcmap_category=='Diverging':# because has 12 colormaps
25-
dsub=6
26-
elifcmap_category=='Sequential (2)':
27-
dsub=6
28-
elifcmap_category=='Sequential':
29-
dsub=7
30-
nsubplots=int(np.ceil(len(cmap_list)/float(dsub)))
31-
32-
fig=plt.figure(figsize=(7,2.6*nsubplots))
36+
# Do subplots so that colormaps have enough space.
37+
# Default is 6 colormaps per subplot.
38+
dsub=_DSUBS.get(cmap_category,6)
39+
nsubplots=int(np.ceil(len(cmap_list)/float(dsub)))
3340

34-
fori,subplotinenumerate(range(nsubplots)):
41+
# squeeze=False to handle similarly the case of a single subplot
42+
fig,axes=plt.subplots(nrows=nsubplots,squeeze=False,
43+
figsize=(7,2.6*nsubplots))
3544

36-
locs= []# locations for text labels
45+
fori,axinenumerate(axes.flat):
3746

38-
ax=fig.add_subplot(nsubplots,1,i+1)
47+
locs=[]# locations for text labels
3948

4049
forj,cmapinenumerate(cmap_list[i*dsub:(i+1)*dsub]):
4150

42-
# Get rgb values for colormap
43-
rgb=cm.get_cmap(cmap)(x)[np.newaxis,:,:3]
44-
45-
# Get colormap in CAM02-UCS colorspace. We want the lightness.
51+
# Get RGB values for colormap and convert the colormap in
52+
# CAM02-UCS colorspace. lab[0, :, 0] is the lightness.
53+
rgb=cm.get_cmap(cmap)(x)[np.newaxis, :, :3]
4654
lab=cspace_converter("sRGB1","CAM02-UCS")(rgb)
4755

48-
# Plot colormap L values
49-
#Do separately for each categoryso each plot can be pretty
50-
#to make scatter markers changecolor along plot:
56+
# Plot colormap L values. Do separately for each category
57+
# so each plot can be pretty. To make scatter markers change
58+
# color along plot:
5159
# http://stackoverflow.com/questions/8202605/matplotlib-scatterplot-colour-as-a-function-of-a-third-variable
52-
ifcmap_category=='Perceptually Uniform Sequential':
53-
dc=1.15# spacing between colormaps
54-
ax.scatter(x+j*dc,lab[0,:,0],c=x,cmap=cmap,
55-
s=300,linewidths=0.)
56-
ifi==2:
57-
ax.axis([-0.1,4.1,0,100])
58-
else:
59-
ax.axis([-0.1,4.7,0,100])
60-
locs.append(x[-1]+j*dc)# store locations for colormap labels
61-
62-
elifcmap_category=='Sequential':
63-
dc=0.6# spacing between colormaps
60+
61+
ifcmap_category=='Sequential':
6462
# These colormaps all start at high lightness but we want them
6563
# reversed to look nice in the plot, so reverse the order.
66-
ax.scatter(x+j*dc,lab[0,::-1,0],c=x[::-1],cmap=cmap,
67-
s=300,linewidths=0.)
68-
ifi==2:
69-
ax.axis([-0.1,4.1,0,100])
70-
else:
71-
ax.axis([-0.1,4.7,0,100])
72-
locs.append(x[-1]+j*dc)# store locations for colormap labels
73-
74-
elifcmap_category=='Sequential (2)':
75-
dc=1.15
76-
ax.scatter(x+j*dc,lab[0,:,0],c=x,cmap=cmap,
77-
s=300,linewidths=0.)
78-
ax.axis([-0.1,7.0,0,100])
79-
# store locations for colormap labels
80-
locs.append(x[-1]+j*dc)
81-
82-
elifcmap_category=='Diverging':
83-
dc=1.2
84-
ax.scatter(x+j*dc,lab[0,:,0],c=x,cmap=cmap,
85-
s=300,linewidths=0.)
86-
ax.axis([-0.1,7.1,0,100])
87-
# store locations for colormap labels
88-
locs.append(x[int(x.size/2.)]+j*dc)
89-
elifcmap_category=='Qualitative':
90-
dc=1.3
91-
ax.scatter(x+j*dc,lab[0,:,0],c=x,cmap=cmap,
92-
s=300,linewidths=0.)
93-
ax.axis([-0.1,6.3,0,100])
94-
# store locations for colormap labels
95-
locs.append(x[int(x.size/2.)]+j*dc)
96-
97-
elifcmap_category=='Miscellaneous':
98-
dc=1.25
99-
ax.scatter(x+j*dc,lab[0,:,0],c=x,cmap=cmap,
100-
s=300,linewidths=0.)
101-
ax.axis([-0.1,6.1,0,100])
102-
# store locations for colormap labels
103-
locs.append(x[int(x.size/2.)]+j*dc)
104-
105-
# Set up labels for colormaps
106-
ax.xaxis.set_ticks_position('top')
107-
ticker=mpl.ticker.FixedLocator(locs)
108-
ax.xaxis.set_major_locator(ticker)
109-
formatter=mpl.ticker.FixedFormatter(cmap_list[i*dsub:(i+1)*dsub])
110-
ax.xaxis.set_major_formatter(formatter)
111-
labels=ax.get_xticklabels()
112-
forlabelinlabels:
113-
label.set_rotation(60)
64+
y_=lab[0, ::-1,0]
65+
c_=x[::-1]
66+
else:
67+
y_=lab[0, :,0]
68+
c_=x
69+
70+
dc=_DC.get(cmap_category,1.4)# cmaps horizontal spacing
71+
ax.scatter(x+j*dc,y_,c=c_,cmap=cmap,s=300,linewidths=0.0)
72+
73+
# Store locations for colormap labels
74+
ifcmap_categoryin ('Perceptually Uniform Sequential',
75+
'Sequential'):
76+
locs.append(x[-1]+j*dc)
77+
elifcmap_categoryin ('Diverging','Qualitative',
78+
'Miscellaneous','Sequential (2)'):
79+
locs.append(x[int(x.size/2.)]+j*dc)
80+
81+
# Set up the axis limits:
82+
# * the 1st subplot is used as a reference for the x-axis limits
83+
# * lightness values goes from 0 to 100 (y-axis limits)
84+
ax.set_xlim(axes[0,0].get_xlim())
85+
ax.set_ylim(0.0,100.0)
86+
87+
# Set up labels for colormaps
88+
ax.xaxis.set_ticks_position('top')
89+
ticker=mpl.ticker.FixedLocator(locs)
90+
ax.xaxis.set_major_locator(ticker)
91+
formatter=mpl.ticker.FixedFormatter(cmap_list[i*dsub:(i+1)*dsub])
92+
ax.xaxis.set_major_formatter(formatter)
93+
ax.xaxis.set_tick_params(rotation=50)
11494

11595
ax.set_xlabel(cmap_category+' colormaps',fontsize=14)
11696
fig.text(0.0,0.55,'Lightness $L^*$',fontsize=12,
11797
transform=fig.transFigure,rotation=90)
11898

119-
fig.tight_layout(h_pad=0.05,pad=1.5)
99+
fig.tight_layout(h_pad=0.0,pad=1.5)
120100
plt.show()

‎examples/color/colormaps_reference.py

Lines changed: 21 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -42,26 +42,27 @@
4242

4343
# Have colormaps separated into categories:
4444
# http://matplotlib.org/examples/color/colormaps_reference.html
45-
cmaps= [('Perceptually Uniform Sequential',
46-
['viridis','inferno','plasma','magma']),
47-
('Sequential', ['Blues','BuGn','BuPu',
48-
'GnBu','Greens','Greys','Oranges','OrRd',
49-
'PuBu','PuBuGn','PuRd','Purples','RdPu',
50-
'Reds','YlGn','YlGnBu','YlOrBr','YlOrRd']),
51-
('Sequential (2)', ['afmhot','autumn','bone','cool',
52-
'copper','gist_heat','gray','hot',
53-
'pink','spring','summer','winter']),
54-
('Diverging', ['BrBG','bwr','coolwarm','PiYG','PRGn','PuOr',
55-
'RdBu','RdGy','RdYlBu','RdYlGn','Spectral',
56-
'seismic']),
57-
('Qualitative', ['Accent','Dark2','Paired','Pastel1',
58-
'Pastel2','Set1','Set2','Set3','tab10',
59-
'tab20','tab20b','tab20c']),
60-
('Miscellaneous', ['gist_earth','terrain','ocean','gist_stern',
61-
'brg','CMRmap','cubehelix',
62-
'gnuplot','gnuplot2','gist_ncar',
63-
'nipy_spectral','jet','rainbow',
64-
'gist_rainbow','hsv','flag','prism'])]
45+
cmaps= [('Perceptually Uniform Sequential', [
46+
'viridis','plasma','inferno','magma']),
47+
('Sequential', [
48+
'Greys','Purples','Blues','Greens','Oranges','Reds',
49+
'YlOrBr','YlOrRd','OrRd','PuRd','RdPu','BuPu',
50+
'GnBu','PuBu','YlGnBu','PuBuGn','BuGn','YlGn']),
51+
('Sequential (2)', [
52+
'binary','gist_yarg','gist_gray','gray','bone','pink',
53+
'spring','summer','autumn','winter','cool','Wistia',
54+
'hot','afmhot','gist_heat','copper']),
55+
('Diverging', [
56+
'PiYG','PRGn','BrBG','PuOr','RdGy','RdBu',
57+
'RdYlBu','RdYlGn','Spectral','coolwarm','bwr','seismic']),
58+
('Qualitative', [
59+
'Pastel1','Pastel2','Paired','Accent',
60+
'Dark2','Set1','Set2','Set3',
61+
'tab10','tab20','tab20b','tab20c']),
62+
('Miscellaneous', [
63+
'flag','prism','ocean','gist_earth','terrain','gist_stern',
64+
'gnuplot','gnuplot2','CMRmap','cubehelix','brg','hsv',
65+
'gist_rainbow','rainbow','jet','nipy_spectral','gist_ncar'])]
6566

6667

6768
nrows=max(len(cmap_list)forcmap_category,cmap_listincmaps)

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