局部整体（二）利用python绘制维恩图

import matplotlib.pyplot as plt
from matplotlib_venn import venn2

# 利用venn2快速创建2组
venn2(subsets = (10, 5, 2), set_labels = ('Group A', 'Group B'))

plt.show()

import matplotlib.pyplot as plt
from matplotlib_venn import venn3

# 利用venn3快速创建3组
venn3(subsets = (10, 8, 22, 6,9,4,2))

plt.show()

import matplotlib.pyplot as plt
from matplotlib_venn import venn3

set1 = set([1, 2, 3, 4, 5])
set2 = set([4, 5, 6, 7])
set3 = set([5, 6, 7, 8, 9])

# 利用venn3快速创建3组-输入集合
venn3(subsets = [set1, set2, set3], set_labels = ('set1', 'set2', 'set3'))

plt.show()

import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib_venn import venn3, venn3_circles

plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签

# 初始化布局
fig = plt.figure(figsize=(8,8))

# 自定义标签
plt.subplot(2, 2, 1) 
v=venn3(subsets = (10, 8, 22, 6,9,4,2), set_labels = ('Group A', 'Group B', 'Group C'))
v.get_label_by_id('A').set_text('My Favourite group!')
plt.title('自定义标签')


# 自定义圆圈
plt.subplot(2, 2, 2) 
v=venn3(subsets = (10, 8, 22, 6,9,4,2), set_labels = ('Group A', 'Group B', 'Group C'))
c=venn3_circles(subsets = (10, 8, 22, 6,9,4,2), linestyle='dashed', linewidth=1, color="grey")
plt.title('自定义圆圈')


# 自定义单组
plt.subplot(2, 2, 3) 
v=venn3(subsets = (10, 8, 22, 6,9,4,2), set_labels = ('Group A', 'Group B', 'Group C'))
c=venn3_circles(subsets = (10, 8, 22, 6,9,4,2), linestyle='dashed', linewidth=1, color="grey")
c[0].set_lw(8.0)
c[0].set_ls('dotted')
c[0].set_color('skyblue')
plt.title('自定义单组')

# 自定义背景色
plt.subplot(2, 2, 4) 
v=venn3(subsets = (10, 8, 22, 6,9,4,2), set_labels = ('Group A', 'Group B', 'Group C'))
plt.gca().set_facecolor('skyblue')
plt.gca().set_axis_on()
plt.title('自定义背景色')

plt.show()

from matplotlib import pyplot as plt
import numpy as np
from matplotlib_venn import venn3, venn3_circles
 
# 绘制维恩图
v = venn3(subsets=(1, 1, 1, 1, 1, 1, 1), set_labels = ('A', 'B', 'C'))
 
# 自定义风格
v.get_patch_by_id('100').set_alpha(1.0) # 获取集合'100'（代表只有第一个集合的部分），并设置透明度为1.0（完全不透明）
v.get_patch_by_id('100').set_color('white') # 同上修改颜色
v.get_label_by_id('100').set_text('Unknown') # 同上修改文本
v.get_label_by_id('A').set_text('Set "A"') # 集合A的标签修改为【Set "A"】
c = venn3_circles(subsets=(1, 1, 1, 1, 1, 1, 1), linestyle='dashed')
c[0].set_lw(1.0) # 修改第一个圆图的线宽
c[0].set_ls('dotted') # 修改第一个圆图为点线
 
# 添加文本注释
plt.title("Sample Venn diagram")
plt.annotate('Unknown set', xy=v.get_label_by_id('100').get_position() - np.array([0, 0.05]), xytext=(-70,-70),
ha='center', textcoords='offset points', bbox=dict(boxstyle='round,pad=0.5', fc='gray', alpha=0.1),
arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5',color='gray'))
 
plt.show()

from matplotlib_venn import venn2, venn2_circles
import matplotlib.pyplot as plt

set1 = set(["苹果", "香蕉", "橘子"])
set2 = set(["香蕉", "橘子", "葡萄"])

venn = venn2([set1, set2], ('A', 'B'))

venn.get_label_by_id('10').set_text('\n'.join(set1-set2))
venn.get_label_by_id('01').set_text('\n'.join(set2-set1))
venn.get_label_by_id('11').set_text('\n'.join(set1&set2))

plt.show()

from upsetplot import generate_counts, plot
import matplotlib.pyplot as plt

example = generate_counts()

plot(example)
plt.show()