If the name is the same as Python csv phone number, add the member number and shipping number

>>> import pandas as pd


>> a = pd.DataFrame ({"Name": ["Younghee", "Minsu"], "Phone Number": ["424", "114"], "Member Number": ["110", "104"]})
>> b = pd.DataFrame ({"Name":["Younghee", "Minsu"], "Phone Number":["424", "114"], "Shipping Number":["12341", "12355"]})
>>> a
   Name Phone Number Member Number
0 Younghee 424 110
1 Minsu 114104
>>> b
   Name Phone Number Shipping Number
0 Younghee 424 12341
1 Minsu 114 12355
>>> c = pd.merge(a,b,on=["Name", "Phone Number"])
>>> c
   Name Phone Number Member Number Delivery Number
0 Younghee 424 110 12341
1 Minsu 114 104 12355
>>> print(c.to_markdown())
|    | Name | Phone number | Member number | Shipping number |
|---:|:-------|-----------:|-----------:|-----------:|
|  0 | Younghee | 424 | 110 | 12341 |
|  1 | Minsu | 114 | 104 | 12355 |