Python 使用For循环生成数据帧

我试图生成500个数据帧，每个学生一个。每个数据框将成为他们的考勤记录

（奖金）如何将每个数据框的名称设置为

考勤\u I

。其中我是学生的ID。所以，学生1的数据框是出勤率，学生2的数据框是出勤率，等等

代码如下：

import pandas as pd
import numpy as np
from numpy import random
from datetime import datetime
from datetime import timedelta
from dateutil.rrule import DAILY, rrule, MO, TU, WE, TH, FR, SA, SU
import calendar

# DEFINE GLOBAL VARIABLES
student_count = 500

# DECLARE START AND END DATES
start = '2013-03-01'
end = '2015-07-31'
# GET NUMBER OF WORKDAYS
weekmask = 'Wed Thu Fri Sat Sun'
customworkweek = pd.offsets.CustomBusinessDay(weekmask=weekmask)
workdates = pd.bdate_range(start = start, end = end, freq = customworkweek).to_pydatetime().tolist()
# GET NUMBER OF WEEKS AND MONTHS 
x = pd.to_datetime(end) - pd.to_datetime(start)
workweeks_int = int(x / np.timedelta64(1, 'W'))
workmonths_int = int(x / np.timedelta64(1, 'M'))
# MORE GLOBAL VARAIBLES
wed = pd.offsets.CustomBusinessDay(weekmask='Wed')
thu = pd.offsets.CustomBusinessDay(weekmask='Thu')
fri = pd.offsets.CustomBusinessDay(weekmask='Fri')
sat = pd.offsets.CustomBusinessDay(weekmask='Sat')
sun = pd.offsets.CustomBusinessDay(weekmask='Sun')

wed_classes = pd.bdate_range(start = start, end = end, freq = wed).to_pydatetime().tolist()
thu_classes = pd.bdate_range(start = start, end = end, freq = thu).to_pydatetime().tolist()
fri_classes = pd.bdate_range(start = start, end = end, freq = fri).to_pydatetime().tolist()
sat_classes = pd.bdate_range(start = start, end = end, freq = sat).to_pydatetime().tolist()
sun_classes = pd.bdate_range(start = start, end = end, freq = sun).to_pydatetime().tolist()

# SET UP STUDENT DATAFRAME
student_age = random.randint(4, 13, size = (student_count))
student_sex = random.choice(["male", "female"], size = (student_count))
student_id = list(range(0,student_count))
student_name_local = pd.read_csv('Database\student_name_local.csv')
student_name_english = pd.read_csv('Database\student_name_english.csv')
class_id = random.randint(1, 27, size = (student_count))

column_names = ['STUDENT_ID', 'STUDENT_NAME_LOCAL', 'STUDENT_NAME_ENGLISH', 'STUDENT_AGE', 'STUDENT_SEX']
students = pd.DataFrame(columns = column_names)

students['STUDENT_ID'] = student_id
students['STUDENT_NAME_LOCAL'] = student_name_local
students['STUDENT_NAME_ENGLISH'] = student_name_english
students['STUDENT_AGE'] = student_age
students['STUDENT_SEX'] = student_sex
students['CLASS_ID'] = class_id

# SET UP CLASSES DATAFRAME
data = [['0', 'Wednesday', '16:30:00'], ['1', 'Wednesday', '17:30:00'], ['2', 'Wednesday', '18:30:00'], ['3', 'Thursday', '16:30:00'], ['4', 'Thursday', '17:30:00'], ['5', 'Thursday', '18:30:00'], ['6', 'Friday', '16:30:00'], ['7', 'Friday', '17:30:00'], ['8', 'Friday', '18:30:00'], ['9', 'Saturday', '8:30:00'], ['10', 'Saturday', '9:30:00'], ['11', 'Saturday', '10:30:00'], ['12', 'Saturday', '11:30:00'], ['13', 'Saturday', '13:30:00'], ['14', 'Saturday', '14:30:00'], ['15', 'Saturday', '15:30:00'], ['16', 'Saturday', '16:30:00'], ['17', 'Saturday', '17:30:00'], ['18', 'Sunday', '8:30:00'], ['19', 'Sunday', '9:30:00'], ['20', 'Sunday', '10:30:00'], ['21', 'Sunday', '11:30:00'], ['22', 'Sunday', '13:30:00'], ['23', 'Sunday', '14:30:00'], ['24', 'Sunday', '15:30:00'], ['25', 'Sunday', '16:30:00'], ['26', 'Sunday', '17:30:00']]

column_names = ['CLASS_ID', 'CLASS_DAY', 'CLASS_TIME']
classes = pd.DataFrame(data = data, columns = column_names)
classes['CLASS_ID'] = classes['CLASS_ID'].astype(int)

# FOR LOOP VARIABLES
attendance_status = random.choice(["present", "absent"], p = [0.95, 0.05], size = workweeks_int)

# THE FOR LOOP
for i in student_id:
    ids = list([i])*workweeks_int
    column_names = ['STUDENT_ID', 'CLASS_DATE', 'ATTENDANCE_STATUS']
    i = pd.DataFrame(columns = column_names)

    i['STUDENT_ID'] = ids
    i['ATTENDANCE_STATUS'] = attendance_status

    x = students['CLASS_ID'].loc[students['STUDENT_ID'] == i].to_list()
    x = x[-1]
    c = classes['CLASS_DAY'].loc[classes['CLASS_ID'] == x].to_list()
    c = c[-1]

    if c == 'Wednesday':
        i['CLASS_DATE'] = wed_classes
    elif c == 'Thursday':
        i['CLASS_DATE'] = thu_classes
    elif c == 'Friday':
        i['CLASS_DATE'] = fri_classes
    elif c == 'Saturday':
        i['CLASS_DATE'] = sat_classes
    elif c == 'Sunday':
        i['CLASS_DATE'] = sun_classes

下面是for循环期间发生的错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-4-c04451cf4f9b> in <module>
     69     i['ATTENDANCE_STATUS'] = attendance_status
     70 
---> 71     x = students['CLASS_ID'].loc[students['STUDENT_ID'] == i].to_list()
     72     x = x[-1]
     73     c = classes['CLASS_DAY'].loc[classes['CLASS_ID'] == x].to_list()

~\anaconda3\lib\site-packages\pandas\core\indexing.py in __getitem__(self, key)
   1766 
   1767             maybe_callable = com.apply_if_callable(key, self.obj)
-> 1768             return self._getitem_axis(maybe_callable, axis=axis)
   1769 
   1770     def _is_scalar_access(self, key: Tuple):

~\anaconda3\lib\site-packages\pandas\core\indexing.py in _getitem_axis(self, key, axis)
   1950 
   1951                 if hasattr(key, "ndim") and key.ndim > 1:
-> 1952                     raise ValueError("Cannot index with multidimensional key")
   1953 
   1954                 return self._getitem_iterable(key, axis=axis)

ValueError: Cannot index with multidimensional key

attendance_status = random.choice(["present", "absent"], p = [0.95, 0.05], size = workweeks_int)
id = 326
i = list([id])*workweeks_int

column_names = ['STUDENT_ID', 'CLASS_DATE', 'ATTENDANCE_STATUS']
att1 = pd.DataFrame(columns = column_names)

att1['STUDENT_ID'] = i
att1['ATTENDANCE_STATUS'] = attendance_status

x = students['CLASS_ID'].loc[students['STUDENT_ID'] == id].to_list()
x = x[-1]
c = classes['CLASS_DAY'].loc[classes['CLASS_ID'] == x].to_list()
c = c[-1]

if c == 'Wednesday':
    att1['CLASS_DATE'] = wed_classes
elif c == 'Thursday':
    att1['CLASS_DATE'] = thu_classes
elif c == 'Friday':
    att1['CLASS_DATE'] = fri_classes
elif c == 'Saturday':
    att1['CLASS_DATE'] = sat_classes
elif c == 'Sunday':
    att1['CLASS_DATE'] = sun_classes

att1

---

您是否能够编辑帖子以便其他人可以运行代码请，

NameError:name'start'未定义

NameError:name'students'未定义（请尝试清除内存并重新运行）抱歉-我真的鼓励您擦除当前会话（重新启动笔记本/无论什么），然后从Scratch运行此操作请提供一个新的选项。你能在一个块中包含所有相关代码吗？另外，如何将每个数据帧的名称设置为

attention\u I

，这是什么意思？