How to multiply columns of different dataframes based on conditions

Question

I have 2 different dataframes, with the first dataframe containing values that I want to multiply with one of the values in the second dataframe, based on a condition.

So let's say my first dataframe contains of a long list with values between 1 and 10, and my second dataframe consists of the values x , y and z . Then I want to multiply the values 1-3 with x , 4-6 with y and 7-10 with z .

How do I accomplish that?

Example input:

df1          df2
1             x
2             y
3             z
4
5
6
7
8
9
10

Desired output:

1x
2x
3x
4y
5y
6y
7z
8z
9z
10z

The actual dataframes are larger than this, but it's just an example.

Answer 1

can you pass your dataframe threw a function somehow like this:

def newDf(df1, df2):
    df = []
    for idx, i in enumerate(df1):
        if idx <= 2: # 1st condition
            df.append(i * df2[0])
        elif idx <= 5: # 2nd condition
            df.append(i * df2[1])
        else:
            new_df.append(i * df2[2])

    return df