Python使用matplotlib可视化模拟家庭支出情况雷达图

发布时间：2024-12-04 19:19

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可视化模拟家庭支出情况雷达图

import random

import numpy as np

import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = ['KaiTi']

plt.rcParams['axes.unicode_minus']=False

data={

'蔬菜':[1350,1500,1330,1550,900,1400,980,1100,1370,1250,1000,1100],

'水果':[400,600,655,700,750,800,850,900,950,900,820,568],

'肉类':[500,354,456,400,500,600,350,450,480,580,658,590],

'日用':[1100,1400,1200,1250,1450,1350,1300,1250,1150,950,850,1252],

'衣服':[650,3500,0,2550,1300,500,600,0,0,1300,0,900],

'旅游':[4000,1800,0,0,0,0,0,0,0,4000,0,0],

'随礼':[0,4000,0,600,1000,800,1200,0,900,500,450,750]

}

dataLength = len(data['蔬菜'])

angles = np.linspace(0,

2*np.pi,

dataLength,

endpoint=False)

markers = '*v^Do'

for col in data.keys():

color = f'#{random.randint(0,0xffffff):06x}'

plt.polar(angles,data[col],color=color,marker=random.choice(markers),label=col)

month = ['{}月'.format(i) for i in range(1,13)]

plt.thetagrids(angles*180/np.pi,month)

plt.legend()

plt.show()

效果图如下：