PuBuGn PuBuGn_r PuOr PuOr_r PuRd PuRd_r Purples Purples_r RdBu RdBu_r RdGy RdGy_r RdPu RdPu_r RdYlBu RdYlBu_r RdYlGn RdYlGn_r Reds Reds_r Set1 Set1_r Set2 Set2_r Set3 Set3_r Spectral Spectral_r Wistia Wistia_r YlGn YlGn_r YlGnBu YlGnBu_r YlOrBr YlOrBr_r YlOrRd ...
多种对比相对明显的颜色混杂在一起。 plot_color_gradients('Miscellaneous',['flag', 'prism', 'ocean', 'gist_earth', 'terrain','gist_stern', 'gnuplot', 'gnuplot2', 'CMRmap','cubehelix', 'brg', 'gist_rainbow', 'rainbow', 'jet','turbo', 'nipy_spectral', 'gist_ncar'])plt.show() ...
cmap="Spectral_r", vmin=vmin,vmax=vmax) colorbar = map_base.colorbar(cp,size='3%',...
color与backgroundcolor属性接受matplotlib中合法的颜色值输入，可用于对标签所囊括文本的色彩及背景色进行设置，譬如下面我们配合调色库palettable来制作一些花里胡哨的文字：from palettable.colorbrewer.diverging import Spectral_6fig, ax = plt.subplots(figsize=(9, 6))text = ''for i, s in enumerate(list('...
wind, cmap='cool')```在上述代码中，'Spectral_r'和'cool'分别是两种不同的色卡选项，你可以根据需要选择合适的色卡来呈现你的流线图。在给流线赋予颜色后，风速轴的分布情况将变得更加一目了然。通过结合流线颜色与线宽，我们可以更全面地描绘出风速的分布情况，从而更直观地展示出不同区域的风速差异。
# "'inferno', 'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', " \ # "'ocean', 'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow'," \
'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 colormaps ...
nipy_spectral,#nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, seismic, seismic_r, spectral,#spectral_r ,spring, spring_r, summer, summer_r, terrain, terrain_r, viridis, viridis_r, winter, winter_r#其他参数见“颜色参数.docx”...
cm.Spectral(i/float(len(vals)-1)) for i in range(len(vals))] n, bins, patches = plt.hist(vals, df[x_var].unique().__len__(), stacked=True, density=False, color=colors[:len(vals)]) # Decoration plt.legend({group:col for group, col in zip(np.unique(df[groupby_var]).to...
{}</>'.format(Spectral_6.hex_colors[i],s)flexitext(0.5,0.6,text,ha="center",ma='center')flexitext(0.5,0.4,'<name:LXGW WenKai, size:50, color:white, backgroundcolor: {}>制造一场彩虹</>'.format(Spectral_6.hex_colors[2]),ha="center",ma='center')plt.savefig('图6.png',dpi=...