如何比较两个不同数据框的两列并添加新的结果列

Question

I have two data frame

First DF1: ( 7 x 3)

ID	Item	Qty
123	qwe	1
123	asd	4
123	zxc	7
234	ewr	2
234	sdf	5
345	xcv	8
345	qwe	3

Second DF2:( 6 x 3)

ID	Item	Qty
123	asd	3
123	qwe	6
234	ewr	9
234	sdf	2
345	qwe	5
345	xcv	8

I want to compare 123 ID of DF1 & DF2 and in that id compare Qty of items for DF1 and DF2 and get a new column. And repeat the same for other ID's

where new column is

DF1['Qty_new']= DF1['Qty'] - DF2['Qty']

Result required : (7 x 3)

ID	Item	Qty
123	qwe	-5
123	asd	1
123	zxc	7
234	ewr	-7
234	sdf	3
345	xcv	0
345	qwe	-2

I've tried using

if (DF1['ID'] == DF2['ID']):
 while (DF1['Item'] == DF2['Item']):
  DF1['Qty_new']= DF1['Qty'] - DF2['Qty']

Getting error as: ValueError: Can only compare identically-labeled Series objects

Also tried

while (DF1['ID'] == DF2['ID']) & (DF1['Item'] == DF2['Item']):
 DF1['Qty_new']= DF1['Qty'] - DF2['Qty']

Error TypeError: unsupported operand type(s) for &: 'str' and 'str'

Please suggest.

Answer 1

here you go, merge on id and item:

comb = pd.merge(DF1, DF2, on=['ID', 'Item'], how='left').rename(columns={'Qty_x': 'DF1_Qty','Qty_y': 'DF2_Qty'})
comb = comb.fillna(0)
comb['Qty_new'] = comb['DF1_Qty'] - comb['DF2_Qty']