Pandas dataframe 僅讀取第一個值，其他所有值均為 NaN

Question

我正在嘗試使用 pandas 讀取 csv ，然后插入 SQL 表中。 當我打印（數據）時，我正在正確讀取 csv 中的數據，但是一旦我將其添加到 dataframe 中，它只會讀取第一列，並為 Z628CB5675FF524F3E7197B 中的每個其他值插入 NaN。 代碼和output如下；

data = pd.read_csv (localFilePath)
print(data)
df = pd.DataFrame(data, columns= ['Date','EECode','LastName','FirstName', \
           'HomeDepartmentCode','HomeDepartmentDesc','PayClass','InPunchTime', \
           'OutPunchTime','DepartmentCode','DepartmentDesc','JobCodesCode', \
           'JobCodesDesc','TeamCode','TeamDesc','EarnCode'])
print(df)

for row in df.itertuples():
    SQLInsert = ('''
                INSERT INTO [Reporting].[dbo].[Paycom_Missing_Punch] 
                (Date, EECode, LastName, FirstName, HomeDepartmentCode, 
                HomeDepartmentDesc, PayClass, InPunchTime, OutPunchTime, 
                DepartmentCode, DepartmentDesc, JobCodesCode, JobCodesDesc, 
                TeamCode, TeamDesc, EarnCode)
                VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)
                '''
                )
     args = row.Date, row.EECode, row.LastName, row.FirstName, \
                row.HomeDepartmentCode, row.HomeDepartmentDesc, row.PayClass, row.InPunchTime, \
                row.OutPunchTime, row.DepartmentCode, row.DepartmentDesc, row.JobCodesCode, \
                row.JobCodesDesc, row.TeamCode, row.TeamDesc, row.EarnCode
                          
    #print(SQLInsert) 
    #print(args)
    cursor.execute(SQLInsert, args)     
conn.commit()

output 當我打印（數據）時；

         Date  EE Code  ...               Team Desc Earn Code
0  01/21/2021     1435  ...             Indiana DWD       NaN
1  01/21/2021     1435  ...             Indiana DWD       NaN
2  01/22/2021     1180  ...             Supervisors       NaN
3  01/21/2021     1664  ...  Technical Support Desk       NaN
4  01/21/2021     1078  ...             Supervisors       NaN

output 一旦我將它添加到 dataframe;

         Date  EECode  LastName  ...  TeamCode  TeamDesc  EarnCode
0  01/21/2021     NaN       NaN  ...       NaN       NaN       NaN
1  01/21/2021     NaN       NaN  ...       NaN       NaN       NaN
2  01/22/2021     NaN       NaN  ...       NaN       NaN       NaN
3  01/21/2021     NaN       NaN  ...       NaN       NaN       NaN
4  01/21/2021     NaN       NaN  ...       NaN       NaN       NaN

我認為問題在於我如何將值傳遞給 dataframe，但從我讀過或看到的所有內容來看，我這樣做的方式看起來是正確的。

Answer 1

問題是你做df的方式。 您首先使用您的data創建 dataframe 。 然后，您嘗試使用不存在的名稱創建另一個 dataframe。 要解決您的問題，只需執行以下操作：

>>> col_names = ['Date','EECode','LastName','FirstName', \
           'HomeDepartmentCode','HomeDepartmentDesc','PayClass','InPunchTime', \
           'OutPunchTime','DepartmentCode','DepartmentDesc','JobCodesCode', \
           'JobCodesDesc','TeamCode','TeamDesc','EarnCode']

>>> df = pd.read_csv(localFilePath)
>>> df.columns = col_names