# -*- coding:utf-8 -*-

import pandas as pd

import matplotlib.pyplot as plt

import numpy as np

import os

import platform

# 系统

print(platform.system())

# 相对路径

project_dir = os.path.abspath('.')

print(project_dir)

fileName = "pie.csv"

outFileName = "request_pie.jpg"

fontName = "SimHei"

if platform.system() == 'Windows':

print('Windows系统')

fontName = ["SimHei"]

elif platform.system() == 'Linux':

print('Linux系统')

fontName = ["SimHei"]

elif platform.system() == 'Darwin':

print('MacOS系统')

fontName = ["PingFang HK"]

else:

print('其他')

# Mac字体 PingFang HK

# win字体 SimHei

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

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

# 解决负号'-'显示为方块的问题

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

filePath = os.sep.join([project_dir, fileName])

outPath = os.sep.join([project_dir, outFileName])

# 全路径

# filePath = "D:\\request.csv"

# outPath = "D:\\request.jpg"

def main():

# 使用python下pandas库读取csv文件

data = pd.read_csv(filePath, encoding='utf-8')

# 读取列名

label_list = data.loc[:, '月份']

money_list = data.loc[:, '销售']

# 取最大的份额突出展示，先获取最大份额的索引

money_max_index = money_list[money_list == money_list.max()].index

# 设定各项距离圆心n个半径

explode = []

for i in range(len(label_list)):

if i == money_max_index:

explode.append(0.1)

else:

explode.append(0.0)

# 设置画布

plt.figure(num=1, dpi=100, figsize=(24, 32))

# 饼状图

plt.pie(money_list, explode=explode, labels=label_list, autopct='%1.1f%%', textprops={'fontsize': 43, 'color': 'k'}, shadow=None, startangle=90)

# 设置为正圆

plt.axis('equal')

# 显示图例

plt.legend()

# 统计图的标题

plt.title(u"XX公司部门每月销售额", size=32)

# 在展示图片前可以将画出的曲线保存到自己路径下的文件夹中

plt.savefig(outPath)

# 显示图像

plt.show()

print("all picture is starting")

if __name__ == "__main__":

main()