color mapの一覧をheatmapで(160個くらい画像があるので注意)

jupyter matplotlib python 
from nbreversible import code
import pandas as pd
import numpy as np
import seaborn as sns
# %matplotlib inline

xs = np.arange(1, 10)
ys = np.arange(1, 10).reshape(9, 1)
m = xs * ys
df = pd.DataFrame(m)
df
0 1 2 3 4 5 6 7 8
0 1 2 3 4 5 6 7 8 9
1 2 4 6 8 10 12 14 16 18
2 3 6 9 12 15 18 21 24 27
3 4 8 12 16 20 24 28 32 36
4 5 10 15 20 25 30 35 40 45
5 6 12 18 24 30 36 42 48 54
6 7 14 21 28 35 42 49 56 63
7 8 16 24 32 40 48 56 64 72
8 9 18 27 36 45 54 63 72 81

Blues

sns.heatmap(df, cmap='Blues')

png

BrBG

sns.heatmap(df, cmap='BrBG')

png

BuGn

sns.heatmap(df, cmap='BuGn')

png

BuPu

sns.heatmap(df, cmap='BuPu')

png

CMRmap

sns.heatmap(df, cmap='CMRmap')

png

GnBu

sns.heatmap(df, cmap='GnBu')

png

Greens

sns.heatmap(df, cmap='Greens')

png

Greys

sns.heatmap(df, cmap='Greys')

png

OrRd

sns.heatmap(df, cmap='OrRd')

png

Oranges

sns.heatmap(df, cmap='Oranges')

png

PRGn

sns.heatmap(df, cmap='PRGn')

png

PiYG

sns.heatmap(df, cmap='PiYG')

png

PuBu

sns.heatmap(df, cmap='PuBu')

png

PuBuGn

sns.heatmap(df, cmap='PuBuGn')

png

PuOr

sns.heatmap(df, cmap='PuOr')

png

PuRd

sns.heatmap(df, cmap='PuRd')

png

Purples

sns.heatmap(df, cmap='Purples')

png

RdBu

sns.heatmap(df, cmap='RdBu')

png

RdGy

sns.heatmap(df, cmap='RdGy')

png

RdPu

sns.heatmap(df, cmap='RdPu')

png

RdYlBu

sns.heatmap(df, cmap='RdYlBu')

png

RdYlGn

sns.heatmap(df, cmap='RdYlGn')

png

Reds

sns.heatmap(df, cmap='Reds')

png

Spectral

sns.heatmap(df, cmap='Spectral')

png

Wistia

sns.heatmap(df, cmap='Wistia')

png

YlGn

sns.heatmap(df, cmap='YlGn')

png

YlGnBu

sns.heatmap(df, cmap='YlGnBu')

png

YlOrBr

sns.heatmap(df, cmap='YlOrBr')

png

YlOrRd

sns.heatmap(df, cmap='YlOrRd')

png

afmhot

sns.heatmap(df, cmap='afmhot')

png

autumn

sns.heatmap(df, cmap='autumn')

png

binary

sns.heatmap(df, cmap='binary')

png

bone

sns.heatmap(df, cmap='bone')

png

brg

sns.heatmap(df, cmap='brg')

png

bwr

sns.heatmap(df, cmap='bwr')

png

cool

sns.heatmap(df, cmap='cool')

png

coolwarm

sns.heatmap(df, cmap='coolwarm')

png

copper

sns.heatmap(df, cmap='copper')

png

cubehelix

sns.heatmap(df, cmap='cubehelix')

png

flag

sns.heatmap(df, cmap='flag')

png

gist_earth

sns.heatmap(df, cmap='gist_earth')

png

gist_gray

sns.heatmap(df, cmap='gist_gray')

png

gist_heat

sns.heatmap(df, cmap='gist_heat')

png

gist_ncar

sns.heatmap(df, cmap='gist_ncar')

png

gist_rainbow

sns.heatmap(df, cmap='gist_rainbow')

png

gist_stern

sns.heatmap(df, cmap='gist_stern')

png

gist_yarg

sns.heatmap(df, cmap='gist_yarg')

png

gnuplot

sns.heatmap(df, cmap='gnuplot')

png

gnuplot2

sns.heatmap(df, cmap='gnuplot2')

png

gray

sns.heatmap(df, cmap='gray')

png

hot

sns.heatmap(df, cmap='hot')

png

hsv

sns.heatmap(df, cmap='hsv')

png

jet

sns.heatmap(df, cmap='jet')

png

nipy_spectral

sns.heatmap(df, cmap='nipy_spectral')

png

ocean

sns.heatmap(df, cmap='ocean')

png

pink

sns.heatmap(df, cmap='pink')

png

prism

sns.heatmap(df, cmap='prism')

png

rainbow

sns.heatmap(df, cmap='rainbow')

png

seismic

sns.heatmap(df, cmap='seismic')

png

spring

sns.heatmap(df, cmap='spring')

png

summer

sns.heatmap(df, cmap='summer')

png

terrain

sns.heatmap(df, cmap='terrain')

png

winter

sns.heatmap(df, cmap='winter')

png

Accent

sns.heatmap(df, cmap='Accent')

png

Dark2

sns.heatmap(df, cmap='Dark2')

png

Paired

sns.heatmap(df, cmap='Paired')

png

Pastel1

sns.heatmap(df, cmap='Pastel1')

png

Pastel2

sns.heatmap(df, cmap='Pastel2')

png

Set1

sns.heatmap(df, cmap='Set1')

png

Set2

sns.heatmap(df, cmap='Set2')

png

Set3

sns.heatmap(df, cmap='Set3')

png

tab10

sns.heatmap(df, cmap='tab10')

png

tab20

sns.heatmap(df, cmap='tab20')

png

tab20b

sns.heatmap(df, cmap='tab20b')

png

tab20c

sns.heatmap(df, cmap='tab20c')

png

Blues_r

sns.heatmap(df, cmap='Blues_r')

png

BrBG_r

sns.heatmap(df, cmap='BrBG_r')

png

BuGn_r

sns.heatmap(df, cmap='BuGn_r')

png

BuPu_r

sns.heatmap(df, cmap='BuPu_r')

png

CMRmap_r

sns.heatmap(df, cmap='CMRmap_r')

png

GnBu_r

sns.heatmap(df, cmap='GnBu_r')

png

Greens_r

sns.heatmap(df, cmap='Greens_r')

png

Greys_r

sns.heatmap(df, cmap='Greys_r')

png

OrRd_r

sns.heatmap(df, cmap='OrRd_r')

png

Oranges_r

sns.heatmap(df, cmap='Oranges_r')

png

PRGn_r

sns.heatmap(df, cmap='PRGn_r')

png

PiYG_r

sns.heatmap(df, cmap='PiYG_r')

png

PuBu_r

sns.heatmap(df, cmap='PuBu_r')

png

PuBuGn_r

sns.heatmap(df, cmap='PuBuGn_r')

png

PuOr_r

sns.heatmap(df, cmap='PuOr_r')

png

PuRd_r

sns.heatmap(df, cmap='PuRd_r')

png

Purples_r

sns.heatmap(df, cmap='Purples_r')

png

RdBu_r

sns.heatmap(df, cmap='RdBu_r')

png

RdGy_r

sns.heatmap(df, cmap='RdGy_r')

png

RdPu_r

sns.heatmap(df, cmap='RdPu_r')

png

RdYlBu_r

sns.heatmap(df, cmap='RdYlBu_r')

png

RdYlGn_r

sns.heatmap(df, cmap='RdYlGn_r')

png

Reds_r

sns.heatmap(df, cmap='Reds_r')

png

Spectral_r

sns.heatmap(df, cmap='Spectral_r')

png

Wistia_r

sns.heatmap(df, cmap='Wistia_r')

png

YlGn_r

sns.heatmap(df, cmap='YlGn_r')

png

YlGnBu_r

sns.heatmap(df, cmap='YlGnBu_r')

png

YlOrBr_r

sns.heatmap(df, cmap='YlOrBr_r')

png

YlOrRd_r

sns.heatmap(df, cmap='YlOrRd_r')

png

afmhot_r

sns.heatmap(df, cmap='afmhot_r')

png

autumn_r

sns.heatmap(df, cmap='autumn_r')

png

binary_r

sns.heatmap(df, cmap='binary_r')

png

bone_r

sns.heatmap(df, cmap='bone_r')

png

brg_r

sns.heatmap(df, cmap='brg_r')

png

bwr_r

sns.heatmap(df, cmap='bwr_r')

png

cool_r

sns.heatmap(df, cmap='cool_r')

png

coolwarm_r

sns.heatmap(df, cmap='coolwarm_r')

png

copper_r

sns.heatmap(df, cmap='copper_r')

png

cubehelix_r

sns.heatmap(df, cmap='cubehelix_r')

png

flag_r

sns.heatmap(df, cmap='flag_r')

png

gist_earth_r

sns.heatmap(df, cmap='gist_earth_r')

png

gist_gray_r

sns.heatmap(df, cmap='gist_gray_r')

png

gist_heat_r

sns.heatmap(df, cmap='gist_heat_r')

png

gist_ncar_r

sns.heatmap(df, cmap='gist_ncar_r')

png

gist_rainbow_r

sns.heatmap(df, cmap='gist_rainbow_r')

png

gist_stern_r

sns.heatmap(df, cmap='gist_stern_r')

png

gist_yarg_r

sns.heatmap(df, cmap='gist_yarg_r')

png

gnuplot_r

sns.heatmap(df, cmap='gnuplot_r')

png

gnuplot2_r

sns.heatmap(df, cmap='gnuplot2_r')

png

gray_r

sns.heatmap(df, cmap='gray_r')

png

hot_r

sns.heatmap(df, cmap='hot_r')

png

hsv_r

sns.heatmap(df, cmap='hsv_r')

png

jet_r

sns.heatmap(df, cmap='jet_r')

png

nipy_spectral_r

sns.heatmap(df, cmap='nipy_spectral_r')

png

ocean_r

sns.heatmap(df, cmap='ocean_r')

png

pink_r

sns.heatmap(df, cmap='pink_r')

png

prism_r

sns.heatmap(df, cmap='prism_r')

png

rainbow_r

sns.heatmap(df, cmap='rainbow_r')

png

seismic_r

sns.heatmap(df, cmap='seismic_r')

png

spring_r

sns.heatmap(df, cmap='spring_r')

png

summer_r

sns.heatmap(df, cmap='summer_r')

png

terrain_r

sns.heatmap(df, cmap='terrain_r')

png

winter_r

sns.heatmap(df, cmap='winter_r')

png

Accent_r

sns.heatmap(df, cmap='Accent_r')

png

Dark2_r

sns.heatmap(df, cmap='Dark2_r')

png

Paired_r

sns.heatmap(df, cmap='Paired_r')

png

Pastel1_r

sns.heatmap(df, cmap='Pastel1_r')

png

Pastel2_r

sns.heatmap(df, cmap='Pastel2_r')

png

Set1_r

sns.heatmap(df, cmap='Set1_r')

png

Set2_r

sns.heatmap(df, cmap='Set2_r')

png

Set3_r

sns.heatmap(df, cmap='Set3_r')

png

tab10_r

sns.heatmap(df, cmap='tab10_r')

png

tab20_r

sns.heatmap(df, cmap='tab20_r')

png

tab20b_r

sns.heatmap(df, cmap='tab20b_r')

png

tab20c_r

sns.heatmap(df, cmap='tab20c_r')

png

magma

sns.heatmap(df, cmap='magma')

png

magma_r

sns.heatmap(df, cmap='magma_r')

png

inferno

sns.heatmap(df, cmap='inferno')

png

inferno_r

sns.heatmap(df, cmap='inferno_r')

png

plasma

sns.heatmap(df, cmap='plasma')

png

plasma_r

sns.heatmap(df, cmap='plasma_r')

png

viridis

sns.heatmap(df, cmap='viridis')

png

viridis_r

sns.heatmap(df, cmap='viridis_r')

png

cividis

sns.heatmap(df, cmap='cividis')

png

cividis_r

sns.heatmap(df, cmap='cividis_r')

png