食堂消费曲线


显示本科四年在食堂的就餐数据,按天统计。图一乐。

如果能知道终端号对应的食堂窗口,统计出我最喜爱的食堂就好了,可惜算不得。



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import pandas as pd
from datetime import datetime
import json

consume = pd.read_excel(r'交易日志.xls' , usecols = "C,E,F" , skipfooter = 1 , date_parser = ['交易时间'])
df_filtered = consume[consume['交易类型'] == '消费'	]
df = df_filtered[['交易时间','交易金额(元)']]
df['交易时间'] = pd.to_datetime(df['交易时间'])

# 2017与2021年需要补齐x轴
df_2017 = df[(df.loc[:,'交易时间'].dt.year == 2017)]
daysum_2017 = (df_2017.resample('D', on = '交易时间').sum())
idx = pd.date_range(start='2017-01-01 00:00:00', end='2017-12-31 00:00:00', freq='D')
daysum_2017 = daysum_2017.reindex(idx, fill_value=0)
daysum_2017 = daysum_2017.round(2)
daysum_2017.to_csv("2017.csv" , header = False)

df_2018 = df[(df.loc[:,'交易时间'].dt.year == 2018)]
daysum_2018 = (df_2018.resample('D', on = '交易时间').sum())
daysum_2018 = daysum_2018.round(2)
daysum_2018.to_csv("2018.csv" , header = False)

df_2019 = df[(df.loc[:,'交易时间'].dt.year == 2019)]
daysum_2019 = (df_2019.resample('D', on = '交易时间').sum())
daysum_2019 = daysum_2019.round(2)
daysum_2019.to_csv("2019.csv" , header = False)

df_2020 = df[(df.loc[:,'交易时间'].dt.year == 2020)]
daysum_2020 = (df_2020.resample('D', on = '交易时间').sum())
daysum_2020 = daysum_2020.round(2)
daysum_2020.to_csv("2020.csv" , header = False)

df_2021 = df[(df.loc[:,'交易时间'].dt.year == 2021)]
daysum_2021 = (df_2021.resample('D', on = '交易时间').sum())
idx = pd.date_range(start='2021-01-01 00:00:00', end='2021-12-31 00:00:00', freq='D')
daysum_2021 = daysum_2021.reindex(idx, fill_value=0)
daysum_2021 = daysum_2021.round(2)
daysum_2021.to_csv("2021.csv" , header = False)

# 转换成json格式
import os
import zipfile

def convert_to_json(year):
  input = str(year)
  with open(input+'.csv','r') as f:
      fl = f.readlines()
      result = []
      for _ in fl:
          a = list(_)
          a = a[5:-1]
          a.insert(5,'"')
          a.insert(0,'"')
          _ = ''.join(a)
          _ = _.strip('\n')
          result.append('['+f'{_}'+'],')
      result[-1] = result[-1].strip(',')
      fw = open(input+".txt","w")
      fw.writelines('[')
      fw.writelines(result)
      fw.writelines(']')
      fw.close()

# 在服务器上打包
if __name__=="__main__":
  for _ in range(2017,2022):
    convert_to_json(_)
  file = r'test.zip'
  out_path = os.getcwd()
  zip_1 = zipfile.ZipFile(file, 'w')
  for f in os.listdir(out_path):
    if f.endswith('.txt'):
      zip_1.write(os.path.join(out_path, f), f, zipfile.ZIP_DEFLATED)
  zip_1.close()