今天這篇推文小編就匯總一下有關(guān)Venn Diagram(韋恩圖) 的繪制方法，主要內(nèi)容包括：
- Venn Diagram(韋恩圖)的Python繪制方法
Venn Diagram(韋恩圖)的簡介
Venn Diagram(韋恩圖)，或叫Venn圖、文氏圖、溫氏圖，是在所謂的集合論（或者類的理論）數(shù)學分支中表示集合或者類的一種草圖，主要用于顯示元素集合重疊區(qū)域的圖示，如下圖所示：
Venn Diagram Example那么，我們?nèi)绾问褂肦或者Python實現(xiàn)Venn Diagram(韋恩圖)的高效繪制呢？首先小編介紹R繪制的方法。
Venn Diagram(韋恩圖)的R繪制方法
R-ggvenn包繪制
使用R繪制Venn Diagram圖，首先想到的肯定是ggplot2,而ggvenn包作為ggplot2的拓展包且有g(shù)eom_*(),這里就最先介紹。ggvenn包主要使用ggvenn()函數(shù)和geom_venn()繪圖函數(shù)(ggplot2圖層語法類似)繪制。官網(wǎng)：https://github.com/yanlinlin82/ggvenn
我們首先介紹下其主要的參數(shù)設(shè)置：
1. For filling:
- fill_color(填充顏色)：默認是 c('blue', 'yellow', 'green', 'red')
2. For stroke:
- stroke_color(線條顏色)：默認是'black'
- stroke_linetype：默認是'solid'
3. For set name:
- set_name_color(文本名顏色)：默認是'black'
- set_name_size(文本名大小)：默認是6
4. For text:
- text_color(文本顏色)：默認是'black'
以上各參數(shù)為ggvenn()和geom_venn()繪圖函數(shù)的共同參數(shù)，其他額外參數(shù)小伙伴們可自行查閱哈~
接下來，我們結(jié)合實例進行解釋說明哈~
「樣例一」:ggvenn()函數(shù)繪制
# 樣例數(shù)據(jù)
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))
#可視化繪制
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()「樣例二」:geom_venn()函數(shù)繪制
# 生成樣例數(shù)據(jù)
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))
# 可視化繪制
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()這里分別使用了ggvenn() 和 geom_venn() 函數(shù)繪制了韋恩圖，更多細節(jié)，感興趣的小伙伴可參考官網(wǎng)進行理解哈~
R-ggVennDiagram包繪制
R-ggVennDiagram包和ggvenn包一樣也是ggplot2的拓展包，其可以支持2~7維的韋恩圖繪制，這里小編直接通過使用ggVennDiagram()繪制韋恩圖進行解釋。
「樣例」：
library(ggVennDiagram)
# 樣例數(shù)據(jù)
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))
# 可視化繪制
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(韋恩圖)的Python繪制方法
要想使用Python繪制韋恩圖(這里主要介紹基于matplotlib的繪制方法，交互式后期統(tǒng)一介紹)，這里介紹一個非常便捷的方法-matplotlib-venn 繪制。安裝方式如下：
「安裝」：
easy_install matplotlib-venn
「官網(wǎng)」：https://github.com/konstantint/matplotlib-venn
「樣例一」：兩個集合
from matplotlib_venn import venn2, venn2_circles, venn2_unweighted
from matplotlib_venn import venn3, venn3_circles
import matplotlib.pyplot as plt
# 樣例數(shù)據(jù)
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']
#可視化繪制
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)
# 定制化設(shè)置:設(shè)置字體屬性
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()「樣例二」：三個集合
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)
# 定制化設(shè)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()當然，你還可以通過如下代碼定義”圈“的樣式：
···
c3 = venn3_circles([set(Group1), set(Group2),set(Group3)], linestyle='--', linewidth=2, color='black',ax=ax)
···
# 對圓進行設(shè)置
c3[1].set_lw(7)
c3[1].set_ls(':')
c3[1].set_color('#7AA6DCFF')
···
Example02 Of venn3()以上小編只是介紹最基礎(chǔ)和常用的可視化繪制方法，更多細節(jié)大家可參照官網(wǎng)進行探索哈~
總結(jié)
今天這篇推文，小編較為系統(tǒng)的介紹了使用R和Python進行Venn Diagram(韋恩圖)的繪制且簡單介紹了Venn Diagram(韋恩圖)的用途，希望大家可以有所收獲哈~~
