Compare two dataframe columns in python

Question

I Want to comparing two dataframe columns and thier values. If it matches then it Shall be 1 and if not then 0.

How can i do this.? The dataframe has all the same column name. I need to check whether the values are matching or otherwise.

Answer 1

I'm assuming you're using pandas. In your particular case you can do this:

#Setup
df1 = pd.DataFrame({'col' : [5,4,2,6,1,7]})
df2 = pd.DataFrame({'col' : [3,4,0,6,1,5]})

#Relevant code
(df1["col"] == df2["col"]).astype("int8")

Output

0    0
1    1
2    0
3    1
4    1
5    0
Name: col, dtype: int8

Answer 2

Let's consider df1 and df2 as the target dataframes & col as the column of interest.

import pandas as pd 

def match_columns(df1, df2, col):
    match_list = [] 
    data1_list = df1[col].tolist()
    data2_list = df2[col].tolist() 

    for i in range(len(data1_list)):
        if str(data1_list[i]) ==  str(data2_list[i]):
            match_list.append(0) # matching values marked as '0'
        else:
            match_list.append(1) # non-matching values marked as '1'
    return match_list


if __name__ == "__main__":

    df1 = pd.read_csv('/path/to/csv1', header=0) # row 0 => column headers
    df2 = pd.read_csv('/path/to/csv2', header=0) # row 0 => column headers

    match_list = match_columns(df1,df2, 'TV1')   # match_list for 'TV1'
    print(match_list)