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

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

Blues

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

BrBG

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

BuGn

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

BuPu

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

CMRmap

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

GnBu

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

Greens

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

Greys

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

OrRd

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

Oranges

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

PRGn

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

PiYG

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

PuBu

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

PuBuGn

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

PuOr

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

PuRd

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

Purples

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

RdBu

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

RdGy

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

RdPu

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

RdYlBu

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

RdYlGn

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

Reds

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

Spectral

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

Wistia

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

YlGn

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

YlGnBu

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

YlOrBr

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

YlOrRd

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

afmhot

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

autumn

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

binary

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

bone

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

brg

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

bwr

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

cool

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

coolwarm

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

copper

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

cubehelix

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

flag

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

gist_earth

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

gist_gray

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

gist_heat

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

gist_ncar

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

gist_rainbow

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

gist_stern

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

gist_yarg

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

gnuplot

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

gnuplot2

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

gray

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

hot

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

hsv

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

jet

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

nipy_spectral

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

ocean

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

pink

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

prism

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

rainbow

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

seismic

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

spring

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

summer

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

terrain

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

winter

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

Accent

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

Dark2

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

Paired

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

Pastel1

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

Pastel2

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

Set1

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

Set2

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

Set3

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

tab10

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

tab20

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

tab20b

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

tab20c

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

Blues_r

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

BrBG_r

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

BuGn_r

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

BuPu_r

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

CMRmap_r

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

GnBu_r

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

Greens_r

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

Greys_r

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

OrRd_r

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

Oranges_r

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

PRGn_r

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

PiYG_r

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

PuBu_r

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

PuBuGn_r

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

PuOr_r

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

PuRd_r

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

Purples_r

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

RdBu_r

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

RdGy_r

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

RdPu_r

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

RdYlBu_r

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

RdYlGn_r

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

Reds_r

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

Spectral_r

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

Wistia_r

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

YlGn_r

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

YlGnBu_r

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

YlOrBr_r

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

YlOrRd_r

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

afmhot_r

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

autumn_r

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

binary_r

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

bone_r

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

brg_r

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

bwr_r

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

cool_r

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

coolwarm_r

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

copper_r

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

cubehelix_r

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

flag_r

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

gist_earth_r

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

gist_gray_r

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

gist_heat_r

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

gist_ncar_r

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

gist_rainbow_r

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

gist_stern_r

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

gist_yarg_r

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

gnuplot_r

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

gnuplot2_r

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

gray_r

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

hot_r

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

hsv_r

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

jet_r

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

nipy_spectral_r

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

ocean_r

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

pink_r

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

prism_r

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

rainbow_r

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

seismic_r

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

spring_r

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

summer_r

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

terrain_r

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

winter_r

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

Accent_r

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

Dark2_r

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

Paired_r

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

Pastel1_r

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

Pastel2_r

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

Set1_r

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

Set2_r

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

Set3_r

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

tab10_r

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

tab20_r

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

tab20b_r

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

tab20c_r

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

magma

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

magma_r

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

inferno

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

inferno_r

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

plasma

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

plasma_r

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

viridis

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

viridis_r

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

cividis

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

cividis_r

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