现有的绘图模板太复杂了，平时绘图时，只想在plot(x,y)里加几个字符来确定配色。在此想法的基础上，编写了matlab函数，能方便色彩调用
| 函数名 | 对应图片 | 颜色数 | 风格特征 |
|---|---|---|---|
sci_color_set1 |
图片(1) | 12 | 蓝-棕-红冷暖对比 |
sci_color_set2 |
图片(2) | 12 | 高饱和彩虹色 |
sci_color_set3 |
图片(3) | 12 | 低饱和商务灰调 |
sci_color_set4 |
图片(4) | 12 | 蓝-绿-橙-红循环 |
sci_color_set5 |
图片(5) | 12 | 莫兰迪柔和色 |
sci_color_set6 |
图片(6) | 7 | 深蓝-暖黄-青绿 |
sci_color_set7 |
图片(7) | 12 | 霓虹高亮糖果色 |
sci_color_set8 |
图片(8) | 12 | 暖红-紫-蓝渐变 |
sci_color_set9 |
图片(9) | 12 | 红-粉-青对比 |
sci_color_set10 |
图片(10) | 12 | 青红色调对比 |
matlab基础颜色
matlab
%使用时注意代码里是否有归一化，如果有归一化，需要修改，如红色为[255, 0, 0]/255
'r' % 红色 [1, 0, 0]
'g' % 绿色 [0, 1, 0]
'b' % 蓝色 [0, 0, 1]
'c' % 青色 [0, 1, 1]
'm' % 品红 [1, 0, 1]
'y' % 黄色 [1, 1, 0]
'k' % 黑色 [0, 0, 0]
'w' % 白色 [1, 1, 1]0.调用代码
matlab
%% 配色设置，选择对应的色系即可
C_000 = [0 0 0];%纯黑色
C_1 = sci_color_set(1);%在这里设置色系
C_2 = sci_color_set(3);%在这里设置色系
C_3 = sci_color_set(5);%在这里设置色系
C_4 = sci_color_set(7);%在这里设置色系
C_5 = sci_color_set(9);%在这里设置色系
%% 画图对比
figure(1)
plot(time,Res_000,'Color', C_000);
hold on
plot(time,Res_1,'Color',C_1)
hold on
plot(time,Res_2,'Color',C_2)
hold on
plot(time,Res_3,'Color',C_3)
hold on
plot(time,Res_4,'Color',C_4)
hold on
plot(time,Res_5,'Color',C_5)1.主函数：查看对应色系的颜色示意图及具体编号
matlab
%% 示例：遍历 sci_color_set 的所有配色，绘制柱状图
clc; clear; close all;
figure('Name', 'Color Palette Demo', 'Color', 'w', ...
'Units', 'centimeters', 'Position', [3 3 12 7]);
hold on; box on; grid on;
% 获取全部颜色
colors = sci_color_set10();%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
n = size(colors, 1);
% 绘制柱状图（统一高度，展示颜色）
h = bar(1:n, ones(1,n), 0.7, 'FaceColor', 'flat', ...
'EdgeColor', [0.2 0.2 0.2], 'LineWidth', 0.3);
h.CData = colors;
% 坐标轴与标签
xlim([0.5, n+0.5]);
ylim([0, 1.3]);
xlabel('Color Index', 'Interpreter', 'latex', 'FontSize', 12);
ylabel('Display', 'Interpreter', 'latex', 'FontSize', 12);
title('SCI Color Palette Set Demo', 'Interpreter', 'latex', 'FontSize', 13);
% 全局字体与刻度
set(gca, 'FontName', 'Times New Roman', 'FontSize', 10, ...
'TickDir', 'in', 'TickLength', [0.015 0.025], ...
'XTick', 1:n, 'YTick', [], 'LineWidth', 0.8, ...
'GridLineStyle', '--', 'GridAlpha', 0.3);
% 在柱子上方标注编号
for i = 1:n
text(i, 1.08, sprintf('%d', i), ...
'HorizontalAlignment', 'center', ...
'FontName', 'Times New Roman', 'FontSize', 9, ...
'Color', [0.2 0.2 0.2]);
end
% 可选：保存高分辨率图片
% print(gcf, 'ColorPalette_Set5_Bar', '-dtiff', '-r600');2.具体色系示意函数
（1）sci_color_set1
matlab
%% ==================== Set 1 (对应 图片1) ====================
function colors = sci_color_set1(index)
%SCI_COLOR_SET1 返回SCI论文级配色方案1 (RGB, 0-1)
% 序号 HEX RGB
% 1 #0780cf [7,128,207]
% 2 #765005 [118,80,5]
% 3 #fa6d1d [250,109,29]
% 4 #0e2c82 [14,44,130]
% 5 #b6b51f [182,181,31]
% 6 #da1f18 [218,31,24]
% 7 #701866 [112,24,102]
% 8 #f47a75 [244,122,117]
% 9 #009db2 [0,157,178]
% 10 #024b51 [2,75,81]
% 11 #0780cf [7,128,207]
% 12 #765005 [118,80,5]
rgb_map = [
7,128,207; 118,80,5; 250,109,29; 14,44,130;
182,181,31; 218,31,24; 112,24,102; 244,122,117;
0,157,178; 2,75,81; 7,128,207; 118,80,5
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（2）sci_color_set2
matlab
%% ==================== Set 2 (对应 图片2) ====================
function colors = sci_color_set2(index)
%SCI_COLOR_SET2 返回SCI论文级配色方案2 (RGB, 0-1)
% 序号 HEX RGB
% 1 #00a8e1 [0,168,225]
% 2 #99cc00 [153,204,0]
% 3 #e30039 [227,0,57]
% 4 #fcd300 [252,211,0]
% 5 #800080 [128,0,128]
% 6 #00994e [0,153,78]
% 7 #ff6600 [255,102,0]
% 8 #808000 [128,128,0]
% 9 #db00c2 [219,0,194]
% 10 #008080 [0,128,128]
% 11 #0000ff [0,0,255]
% 12 #c8cc00 [200,204,0]
rgb_map = [
0,168,225; 153,204,0; 227,0,57; 252,211,0;
128,0,128; 0,153,78; 255,102,0; 128,128,0;
219,0,194; 0,128,128; 0,0,255; 200,204,0
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（3）sci_color_set3
matlab
%% ==================== Set 3 (对应 图片3) ====================
function colors = sci_color_set3(index)
%SCI_COLOR_SET3 返回SCI论文级配色方案3 (RGB, 0-1)
% 序号 HEX RGB
% 1 #194f97 [25,79,151]
% 2 #555555 [85,85,85]
% 3 #bd6b08 [189,107,8]
% 4 #00686b [0,104,107]
% 5 #c82d31 [200,45,49]
% 6 #625ba1 [98,91,161]
% 7 #898989 [137,137,137]
% 8 #9c9800 [156,152,0]
% 9 #007f54 [0,127,84]
% 10 #a195c5 [161,149,197]
% 11 #103667 [16,54,103]
% 12 #f19272 [241,146,114]
rgb_map = [
25,79,151; 85,85,85; 189,107,8; 0,104,107;
200,45,49; 98,91,161; 137,137,137; 156,152,0;
0,127,84; 161,149,197; 16,54,103; 241,146,114
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（4）sci_color_set4
matlab
%% ==================== Set 4 (对应 图片4) ====================
function colors = sci_color_set4(index)
%SCI_COLOR_SET4 返回SCI论文级配色方案4 (RGB, 0-1)
% 序号 HEX RGB
% 1 #0e72cc [14,114,204]
% 2 #6ca30f [108,163,15]
% 3 #f59311 [245,147,17]
% 4 #fa4343 [250,67,67]
% 5 #16afcc [22,175,204]
% 6 #85c021 [133,192,33]
% 7 #d12a6a [209,42,106]
% 8 #0e72cc [14,114,204]
% 9 #6ca30f [108,163,15]
% 10 #f59311 [245,147,17]
% 11 #fa4343 [250,67,67]
% 12 #16afcc [22,175,204]
rgb_map = [
14,114,204; 108,163,15; 245,147,17; 250,67,67;
22,175,204; 133,192,33; 209,42,106; 14,114,204;
108,163,15; 245,147,17; 250,67,67; 22,175,204
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（5）sci_color_set5
matlab
%% ==================== Set 5 (对应 图片5) ====================
function colors = sci_color_set5(index)
%SCI_COLOR_SET5 返回SCI论文级配色方案5 (RGB, 0-1)
% 序号 HEX RGB
% 1 #3682be [54,130,190]
% 2 #45a776 [69,167,118]
% 3 #f05326 [240,83,38]
% 4 #eed777 [238,215,119]
% 5 #334f65 [51,79,101]
% 6 #b3974e [179,151,78]
% 7 #38cb7d [56,203,125]
% 8 #ddae33 [221,174,51]
% 9 #844bb3 [132,75,179]
% 10 #93c555 [147,197,85]
% 11 #5f6694 [95,102,148]
% 12 #df3881 [223,56,129]
rgb_map = [
54,130,190; 69,167,118; 240,83,38; 238,215,119;
51,79,101; 179,151,78; 56,203,125; 221,174,51;
132,75,179; 147,197,85; 95,102,148; 223,56,129
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（6）sci_color_set6
matlab
%% ==================== Set 6 (对应 图片6) ====================
function colors = sci_color_set6(index)
%SCI_COLOR_SET6 返回SCI论文级配色方案6 (RGB, 0-1)
% 序号 HEX RGB
% 1 #002c53 [0,44,83]
% 2 #ffa510 [255,165,16]
% 3 #0c84c6 [12,132,198]
% 4 #ffbd66 [255,189,102]
% 5 #f74d4d [247,77,77]
% 6 #2455a4 [36,85,164]
% 7 #41b7ac [65,183,172]
rgb_map = [
0,44,83; 255,165,16; 12,132,198; 255,189,102;
247,77,77; 36,85,164; 65,183,172
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（7）sci_color_set7
matlab
%% ==================== Set 7 (对应 图片7) ====================
function colors = sci_color_set7(index)
%SCI_COLOR_SET7 返回SCI论文级配色方案7 (RGB, 0-1)
% 序号 HEX RGB
% 1 #fa2c7b [250,44,123]
% 2 #ff38e0 [255,56,224]
% 3 #ffa235 [255,162,53]
% 4 #04c5f3 [4,197,243]
% 5 #0066fe [0,102,254]
% 6 #8932a5 [137,50,165]
% 7 #c90444 [201,4,68]
% 8 #cb9bff [203,155,255]
% 9 #434348 [67,67,72]
% 10 #90ed7d [144,237,125]
% 11 #f7a35c [247,163,92]
% 12 #8085e9 [128,133,233]
rgb_map = [
250,44,123; 255,56,224; 255,162,53; 4,197,243;
0,102,254; 137,50,165; 201,4,68; 203,155,255;
67,67,72; 144,237,125; 247,163,92; 128,133,233
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（8）sci_color_set8
matlab
%% ==================== Set 8 (对应 图片8) ====================
function colors = sci_color_set8(index)
%SCI_COLOR_SET8 返回SCI论文级配色方案8 (RGB, 0-1)
% 序号 HEX RGB
% 1 #e75840 [231,88,64]
% 2 #a565ef [165,101,239]
% 3 #628cee [98,140,238]
% 4 #eb9358 [235,147,88]
% 5 #d05c7c [208,92,124]
% 6 #bb60b2 [187,96,178]
% 7 #433e7c [67,62,124]
% 8 #f47a75 [244,122,117]
% 9 #009db2 [0,157,178]
% 10 #024b51 [2,75,81]
% 11 #0780cf [7,128,207]
% 12 #765005 [118,80,5]
rgb_map = [
231,88,64; 165,101,239; 98,140,238; 235,147,88;
208,92,124; 187,96,178; 67,62,124; 244,122,117;
0,157,178; 2,75,81; 7,128,207; 118,80,5
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（9）sci_color_set9
matlab
%% ==================== Set 9 (对应 图片9) ====================
function colors = sci_color_set9(index)
%SCI_COLOR_SET9 返回SCI论文级配色方案9 (RGB, 0-1)
% 序号 HEX RGB
% 1 #ef4464 [239,68,100]
% 2 #fad259 [250,210,89]
% 3 #d22e8d [210,46,141]
% 4 #03dee0 [3,222,224]
% 5 #d05c7c [208,92,124]
% 6 #bb60b2 [187,96,178]
% 7 #433e7c [67,62,124]
% 8 #f47a75 [244,122,117]
% 9 #009db2 [0,157,178]
% 10 #024b51 [2,75,81]
% 11 #0780cf [7,128,207]
% 12 #765005 [118,80,5]
rgb_map = [
239,68,100; 250,210,89; 210,46,141; 3,222,224;
208,92,124; 187,96,178; 67,62,124; 244,122,117;
0,157,178; 2,75,81; 7,128,207; 118,80,5
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1;
colors = rgb_map(index, :);
end
end（10）sci_color_set10
matlab
%% ==================== Set 1 (对应 图片1) ====================
function colors = sci_color_set10(index)
%SCI_COLOR 返回SCI论文级配色 (RGB, 0-1)
% 基于绿→黄→红渐变色谱，色盲友好，打印清晰
% colors = sci_color(index) 返回指定序号颜色
% colors = sci_color() 返回全部12色矩阵
%
% 序号 HEX RGB
% 1 #71ae46 [113,174,70] 绿
% 2 #96b744 [150,183,68] 浅绿
% 3 #c4cc38 [196,204,56] 黄绿
% 4 #ebe12a [235,225,42] 黄
% 5 #eab026 [234,176,38] 橙黄
% 6 #e3852b [227,133,43] 橙
% 7 #d85d2a [216,93,42] 红橙
% 8 #ce2626 [206,38,38] 红
% 9 #a20226 [172,32,38] 深红
% 10~12 循环前3色
rgb_map = [
113, 174, 70; % 1 绿
150, 183, 68; % 2 浅绿
196, 204, 56; % 3 黄绿
235, 225, 42; % 4 黄
234, 176, 38; % 5 橙黄
227, 133, 43; % 6 橙
216, 93, 42; % 7 红橙
206, 38, 38; % 8 红
172, 32, 38; % 9 深红
113, 174, 70; % 10
150, 183, 68; % 11
196, 204, 56; % 12
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, 12) + 1; % 循环索引
colors = rgb_map(index, :);
end
end（11）sci_color_set0（强对比度）
matlab
function colors = sci_color_set0(index)
%SCI_COLOR_SET0 精选10色通用SCI论文配色 (RGB, 0-1)
% 从9个经典色系中筛选出的10色万能盘，色盲友好，打印清晰
% 有N条曲线/柱状图，直接依次调用前N色即可
%
% 调用方式：
% c = sci_color_set0(3) ------ 取第3号颜色
% c = sci_color_set0() ------ 返回全部 10×3 颜色矩阵
% plot(x,y,'Color',sci_color_set0(2)) ------ 直接绘图
%
% 序号 来源 HEX RGB(0-1) 推荐用途
% 1 Set3 #555555 [0.33,0.33,0.33] 真值/基准/参考线
% 2 Set1 #0780cf [0.03,0.50,0.81] 算法1 / 主对比
% 3 Set8 #e75840 [0.91,0.35,0.25] 算法2
% 4 Set5 #45a776 [0.27,0.65,0.46] 算法3
% 5 Set6 #ffa510 [1.00,0.65,0.06] 算法4
% 6 Set5 #844bb3 [0.52,0.29,0.70] 算法5
% 7 Set1 #009db2 [0.00,0.62,0.70] 算法6
% 8 Set3 #bd6b08 [0.74,0.42,0.03] 算法7
% 9 Set5 #df3881 [0.87,0.22,0.51] 算法8
% 10 Set3 #007f54 [0.00,0.50,0.33] 算法9
rgb_map = [
85, 85, 85; % 1 Set3 #555555 深灰
7, 128, 207; % 2 Set1 #0780cf 学术蓝
231, 88, 64; % 3 Set8 #e75840 砖红
69, 167, 118; % 4 Set5 #45a776 青绿
255, 165, 16; % 5 Set6 #ffa510 金黄
132, 75, 179; % 6 Set5 #844bb3 紫
0, 157, 178; % 7 Set1 #009db2 青
189, 107, 8; % 8 Set3 #bd6b08 棕
223, 56, 129; % 9 Set5 #df3881 玫红
0, 127, 84 % 10 Set3 #007f54 深绿
] / 255;
if nargin == 0
colors = rgb_map;
else
index = mod(index-1, size(rgb_map,1)) + 1; % 循环索引
colors = rgb_map(index, :);
end
end