importmatplotlib.pyplotaspltimportnumpyasnpcmaps=[('Perceptually Uniform Sequential',['viridis','plasma','inferno','magma','cividis']),('Sequential',['Greys','Purples','Blues','Greens','Oranges','Reds','YlOrBr','YlOrRd','OrRd','PuRd','RdPu','BuPu','GnBu','PuBu','YlGnBu','PuBuGn','BuGn','YlGn']),('Sequential (2)',['gray','bone','pink','spring','summer','autumn','winter','cool','Wistia','hot','afmhot','gist_heat','copper']),('Diverging',['PiYG','PRGn','BrBG','PuOr','RdGy','RdBu','RdYlBu','RdYlGn','Spectral','coolwarm','bwr','seismic','berlin','managua','vanimo']),('Cyclic',['twilight','twilight_shifted','hsv']),('Qualitative',['Pastel1','Pastel2','Paired','Accent','Dark2','Set1','Set2','Set3','tab10','tab20','tab20b','tab20c']),('Miscellaneous',['flag','prism','ocean','gist_earth','terrain','gist_stern','gnuplot','gnuplot2','CMRmap','cubehelix','brg','gist_rainbow','rainbow','jet','turbo','nipy_spectral','gist_ncar'])]gradient=np.linspace(0,1,256)gradient=np.vstack((gradient,gradient))defplot_color_gradients(cmap_category,cmap_list):# Create figure and adjust figure height to number of colormapsnrows=len(cmap_list)figh=0.35+0.15+(nrows+(nrows-1)*0.1)*0.22fig,axs=plt.subplots(nrows=nrows,figsize=(6.4,figh))fig.subplots_adjust(top=1-.35/figh,bottom=.15/figh,left=0.2,right=0.99)axs[0].set_title(f"{cmap_category} colormaps",fontsize=14)forax,cmap_nameinzip(axs,cmap_list):ax.imshow(gradient,aspect='auto',cmap=cmap_name)ax.text(-.01,.5,cmap_name,va='center',ha='right',fontsize=10,transform=ax.transAxes)# Turn off *all* ticks & spines, not just the ones with colormaps.foraxinaxs:ax.set_axis_off()forcmap_category,cmap_listincmaps:plot_color_gradients(cmap_category,cmap_list)