PYTHON

remove df rows if two column values are not matching

    import pandas as pd
    #creating temp df for example 

    details = {
        'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi', 'Priya', 'Swapnil'],
        'Nick_Name' : ['Ankit', 'Aish', 'Shaurya', 'Shiv', 'Priya', 'Lucky'],
    }
      
    # creating a Dataframe object 
    df = pd.DataFrame(details, columns = ['Name', 'Nick_Name',],index = ['a', 'b', 'c', 'd', 'e', 'f'])
      
    
    index_names = df[ (df['Name'] == df['Nick_Name'])].index
    
    df.drop(index_names, inplace = True)
    print(df)

remove row if all are the same value pandas

print (df['S'] != df['T'])
0    False
1     True
2     True
3     True
4    False
5     True
6     True
7     True
8    False
dtype: bool

df = df[df['S'] != df['T']]
print (df)
   S  T  W           U
1  A  B  0  Undirected
2  A  C  1  Undirected
3  B  A  0  Undirected
5  B  C  1  Undirected
6  C  A  1  Undirected
7  C  B  1  Undirected