# Write a program in Python to remove first duplicate rows in a given dataframe

Assume, you have a dataframe and the result for removing first duplicate rows are,

    Id Age
0    1 12
3    4 13
4    5 14
5    6 12
6    2 13
7    7 16
8    3 14
9    9 15
10  10 14

## Solution

To solve this, we will follow the steps given below −

• Define a dataframe

• Apply drop_duplicates function inside Id and Age column then assign keep initial value as ‘last’.

df.drop_duplicates(subset=['Id','Age'],keep='last')
• Store the result inside same dataframe and print it

### Example

Let’s see the below implementation to get a better understanding −

import pandas as pd
df = pd.DataFrame({'Id':[1,2,3,4,5,6,2,7,3,9,10],
'Age':[12,13,14,13,14,12,13,16,14,15,14]
})
print("DataFrame is:\n",df)
df = df.drop_duplicates(subset=['Id','Age'],keep='last')
print("Dataframe after removing first duplicate rows:\n", df)

### Output

DataFrame is:
Id    Age
0    1    12
1    2    13
2    3    14
3    4    13
4    5    14
5    6    12
6    2    13
7    7    16
8    3    14
9    9    15
10  10    14
Dataframe after removing first duplicate rows:
Id Age
0    1 12
3    4 13
4    5 14
5    6 12
6    2 13
7    7 16
8    3 14
9    9 15
10  10 14

Updated on: 25-Feb-2021

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