今天这篇推文小编就汇总一下有关Venn Diagram(韦恩图) 的绘制方法，主要内容包括：
- Venn Diagram(韦恩图)的Python绘制方法
Venn Diagram(韦恩图)的简介
Venn Diagram(韦恩图)，或叫Venn图、文氏图、温氏图，是在所谓的集合论（或者类的理论）数学分支中表示集合或者类的一种草图，主要用于显示元素集合重叠区域的图示，如下图所示：
Venn Diagram Example那么，我们如何使用R或者Python实现Venn Diagram(韦恩图)的高效绘制呢？首先小编介绍R绘制的方法。
Venn Diagram(韦恩图)的R绘制方法
R-ggvenn包绘制
使用R绘制Venn Diagram图，首先想到的肯定是ggplot2,而ggvenn包作为ggplot2的拓展包且有geom_*(),这里就最先介绍。ggvenn包主要使用ggvenn()函数和geom_venn()绘图函数(ggplot2图层语法类似)绘制。官网：https://github.com/yanlinlin82/ggvenn
我们首先介绍下其主要的参数设置：
1. For filling:
- fill_color(填充颜色)：默认是 c('blue', 'yellow', 'green', 'red')
2. For stroke:
- stroke_color(线条颜色)：默认是'black'
- stroke_linetype：默认是'solid'
3. For set name:
- set_name_color(文本名颜色)：默认是'black'
- set_name_size(文本名大小)：默认是6
4. For text:
- text_color(文本颜色)：默认是'black'
以上各参数为ggvenn()和geom_venn()绘图函数的共同参数，其他额外参数小伙伴们可自行查阅哈~
接下来，我们结合实例进行解释说明哈~
「样例一」:ggvenn()函数绘制
# 样例数据
a <- list(`Set 1` = c(1, 3, 5, 7, 9),
`Set 2` = c(1, 5, 9, 13),
`Set 3` = c(1, 2, 8, 9),
`Set 4` = c(6, 7, 10, 12))
#可视化绘制
opar <- par(family = 'Roboto Condensed')
ggvenn(a,fill_color=mypal,fill_alpha = .7,stroke_linetype = 'longdash',set_name_size = 8,
text_size=5)
Example Of ggvenn()「样例二」:geom_venn()函数绘制
# 生成样例数据
d <- tibble(value = c(1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 13),
`Set 1` = c(T, F, T, T, F, T, F, T, F, F, F),
`Set 2` = c(T, F, F, T, F, F, F, T, F, F, T),
`Set 3` = c(T, T, F, F, F, F, T, T, F, F, F),
`Set 4` = c(F, F, F, F, T, T, F, F, T, T, F))
# 可视化绘制
ggvenn_4 <- ggplot(d, aes(A = `Set 1`, B = `Set 2`, C = `Set 3`, D = `Set 4`)) +
geom_venn(fill_color=mypal,fill_alpha = .7,stroke_linetype = 'longdash',set_name_size = 8,
text_size=5) +
theme_void()+
coord_fixed() +
labs(title = 'Example of ggvenn:: geom_venn function',
subtitle = 'processed charts with geom_venn()',
caption = 'Visualization by DataCharm') +
theme(plot.title = element_text(hjust = 0.5,vjust = .5,color = 'black',face = 'bold',
size = 20, margin = margin(t = 1, b = 12)),
plot.subtitle = element_text(hjust = 0,vjust = .5,size=15),
plot.caption = element_text(face = 'bold',size = 12))
Example Of geom_venn()这里分别使用了ggvenn() 和 geom_venn() 函数绘制了韦恩图，更多细节，感兴趣的小伙伴可参考官网进行理解哈~
R-ggVennDiagram包绘制
R-ggVennDiagram包和ggvenn包一样也是ggplot2的拓展包，其可以支持2~7维的韦恩图绘制，这里小编直接通过使用ggVennDiagram()绘制韦恩图进行解释。
「样例」：
library(ggVennDiagram)
# 样例数据
genes <- paste('gene',1:1000,sep='')
set.seed(20210419)
x <- list(A=sample(genes,300),
B=sample(genes,525),
C=sample(genes,440),
D=sample(genes,350))
# 可视化绘制
library(ggplot2)
ggVennDiagram(x, category.names = c('Stage 1','Stage 2','Stage 3', 'Stage4'),
size=1,lty='longdash',color='gray60') +
scale_fill_gradient(name='Count',low='#EC7D85',high = '#182F6F') +
hrbrthemes::theme_ipsum(base_family = 'sans') +
labs(title = 'Example of ggVennDiagram:: ggVennDiagram function',
subtitle = 'processed charts with ggVennDiagram()',
caption = 'Visualization by DataCharm') +
theme(plot.title = element_text(hjust = 0.5,vjust = .5,color = 'black',face = 'bold',
size = 20, margin = margin(t = 1, b = 12)),
plot.subtitle = element_text(hjust = 0,vjust = .5,size=15),
plot.caption = element_text(face = 'bold',size = 12),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank())
Example of ggVennDiagramVenn Diagram(韦恩图)的Python绘制方法
要想使用Python绘制韦恩图(这里主要介绍基于matplotlib的绘制方法，交互式后期统一介绍)，这里介绍一个非常便捷的方法-matplotlib-venn 绘制。安装方式如下：
「安装」：
easy_install matplotlib-venn
「官网」：https://github.com/konstantint/matplotlib-venn
「样例一」：两个集合
from matplotlib_venn import venn2, venn2_circles, venn2_unweighted
from matplotlib_venn import venn3, venn3_circles
import matplotlib.pyplot as plt
# 样例数据
Group1 = ['a','b','c','e','f','g','i','p','q']
Group2 = ['b','e','f','h','k','q','r','s','t','u','v','z']
Group3 = ['c','e','g','h','j','k','o','q','z']
#可视化绘制
plt.rcParams['font.family'] = ['Times New Roman']
fig, ax = plt.subplots(figsize=(5,3),dpi=110)
vee2 = venn2([set(Group1), set(Group2)],set_labels=('Group1', 'Group2'),
set_colors=('#0073C2FF', '#EFC000FF'), alpha = 0.8,ax=ax)
venn2_circles([set(Group1), set(Group2)], linestyle='--', linewidth=2, color='black',ax=ax)
# 定制化设置:设置字体属性
for text in vee2.set_labels:
text.set_fontsize(15);
for text in vee2.subset_labels:
text.set_fontsize(16)
text.set_fontweight('bold')
ax.text(.8,-.1,'\nVisualization by DataCharm',transform = ax.transAxes,
ha='center', va='center',fontsize = 8,color='black')
plt.title('Example Of venn2() and venn2_circles()',size=15,fontweight='bold',
backgroundcolor='#868686FF',color='black',style='italic')
Example Of venn2()「样例二」：三个集合
fig, ax = plt.subplots(figsize=(5,3),dpi=110)
vd3=venn3([set(Group1),set(Group2),set(Group3)],
set_labels=('Group1','Group2','Group3'),
set_colors=('#0073C2FF','#EFC000FF','#CD534CFF'),
alpha = 0.8,ax=ax)
venn3_circles([set(Group1), set(Group2),set(Group3)], linestyle='--', linewidth=2, color='black',ax=ax)
# 定制化设置
for text in vd3.set_labels:
text.set_fontsize(15);
text.set_fontweight('bold')
for text in vd3.subset_labels:
text.set_fontsize(15)
text.set_fontweight('bold')
ax.text(.8,-.1,'\nVisualization by DataCharm',transform = ax.transAxes,
ha='center', va='center',fontsize = 9,color='black')
plt.title('Example Of venn3() and venn3_circles()',fontweight='bold',fontsize=15,
pad=30,backgroundcolor='#868686FF',color='black',style='italic')
Example Of venn3()当然，你还可以通过如下代码定义”圈“的样式：
···
c3 = venn3_circles([set(Group1), set(Group2),set(Group3)], linestyle='--', linewidth=2, color='black',ax=ax)
···
# 对圆进行设置
c3[1].set_lw(7)
c3[1].set_ls(':')
c3[1].set_color('#7AA6DCFF')
···
Example02 Of venn3()以上小编只是介绍最基础和常用的可视化绘制方法，更多细节大家可参照官网进行探索哈~
总结
今天这篇推文，小编较为系统的介绍了使用R和Python进行Venn Diagram(韦恩图)的绘制且简单介绍了Venn Diagram(韦恩图)的用途，希望大家可以有所收获哈~~
