def fmtjpi_table # 获取列表中state车辆状态列为1的数据即出停车场 fmdfs = pi_tablelocpi_tablestate == 1 # 转换数据为列表 fmdfs = fmdfsvalues # 定义变量表示每周的繁忙统计 WEEK1 = 0 WEEK2 = 0 WEEK3 = 0 WEEK4 = 0

import matplotlib.pyplot as plt

def fmtj(pi_table): # 获取列表中state（车辆状态）列为1的数据，即出停车场 fmdfs = pi_table.loc[pi_table['state'] == 1] # 转换数据为列表 fmdfs = fmdfs.values

# 定义变量表示每周的繁忙统计
WEEK1 = 0
WEEK2 = 0
WEEK3 = 0
WEEK4 = 0
WEEK5 = 0
WEEK6 = 0
WEEK7 = 0

# 循环数据列表
for fmdf in fmdfs:
    # 获取数据对应的星期几
    week_number = get_week_number(fmdf[1])
    
    # 根据星期几进行统计
    if week_number == 0:
        WEEK1 += 1
        pass
    elif week_number == 1:
        WEEK2 += 1
        pass
    elif week_number == 2:
        WEEK3 += 1
        pass
    elif week_number == 3:
        WEEK4 += 1
        pass
    elif week_number == 4:
        WEEK5 += 1
        pass
    elif week_number == 5:
        WEEK6 += 1
        pass
    elif week_number == 6:
        WEEK7 += 1
        pass

# 显示饼图
labels = ['WEEK1', 'WEEK2', 'WEEK3', 'WEEK4', 'WEEK5', 'WEEK6', 'WEEK7']
sizes = [WEEK1, WEEK2, WEEK3, WEEK4, WEEK5, WEEK6, WEEK7]
plt.pie(sizes, labels=labels, autopct='%1.1f%%')
plt.axis('equal')
plt.show()