df=pd.read_csv(os.path.join(directory,'1.csv'),low_memory=False)

df[['Order Qty (SL)','Confirmed Qty (SL)','Unconfirmed Qty (SL)','Cancelled Qty (SL)','Open Qty (SL)','Reserved Qty (SL)',

    'Fixed Qty (SL)','% Allocation (SL)','Delivered Qty (SL)','PGI Qty (SL)','Invoiced Qty (SL)',
    'Net Unit Price','Confirmed Net Value (SL)','Dollars Shipped (SL)','% Shipped/Allocated (SL)']] = pd.to_numeric(df[['Order Qty (SL)','Confirmed Qty (SL)','Unconfirmed Qty (SL)',
                                                                                                                       'Cancelled Qty (SL)','Open Qty (SL)','Reserved Qty (SL)',

    'Fixed Qty (SL)','% Allocation (SL)','Delivered Qty (SL)','PGI Qty (SL)','Invoiced Qty (SL)',
    'Net Unit Price','Confirmed Net Value (SL)','Dollars Shipped (SL)','% Shipped/Allocated (SL)']])

df[['Order Qty (SL)','Confirmed Qty (SL)','Unconfirmed Qty (SL)','Cancelled Qty (SL)','Open Qty (SL)','Reserved Qty (SL)',

    'Fixed Qty (SL)','% Allocation (SL)','Delivered Qty (SL)','PGI Qty (SL)','Invoiced Qty (SL)',
    'Net Unit Price','Confirmed Net Value (SL)','Dollars Shipped (SL)','% Shipped/Allocated (SL)']] /= 1000

print(df.head())




Traceback

Traceback (most recent call last):
  File "C:\Users\Digital Wholesale - Documents\2. Amazon\Customer Operations_OTC\02. Amazon weekly Report\Amazon weekly automation (Giorgi)\VL.py", line 29, in <module>
    'Net Unit Price','Confirmed Net Value (SL)','Dollars Shipped (SL)','% Shipped/Allocated (SL)']] = pd.to_numeric(df[['Order Qty (SL)','Confirmed Qty (SL)','Unconfirmed Qty (SL)',
  File "C:\Users\gobro7\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\tools\numeric.py", line 141, in to_numeric
    raise TypeError("arg must be a list, tuple, 1-d array, or Series")
TypeError: arg must be a list, tuple, 1-d array, or Series