Mapping Values of key in Dictionary present in dataframe columns

Question

I have a dataframe A with column 'col_1' and values of column is A and B and and I am trying to map the values of A and B present in Dictionary

DataFrame A:

enter image description here

and have dictionary

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and I want the output like this

Dataframe:

col_1 Values

1. A 1
2. A 2
3. A 3
4. B 1
5. B 2

Any help will be highly appreciated thanks

Answer 1

I tried to frame your problem properly:

df = pd.DataFrame({"col_1":["A","A","A","B","B"]})

Printing df gives us your dataframe shown in the image above:

print(df)

    col_1
0     A
1     A
2     A
3     B
4     B

Here is your dictionary:

dict1 = {"A":[1,2,3], "B":[1,2]}

I created an empty list to hold the elements then stack up the list with your request, and finally created a new column called values and write the list into the column

values1 = []

for key,value_list in dict1.items():
    for item in value_list:
        value_item = key+" "+ str(item)
        values1.append(value_item)

df["values"] = values1 

printing df results into:

df


     col_1  values
0     A      A 1
1     A      A 2
2     A      A 3
3     B      B 1
4     B      B 2