Write a program in Python to find the minimum age of an employee id and salary in a given DataFrame

Input −

Assume, you have a DataFrame

DataFrame is  Id    Age   Salary 0 1    27    40000 1 2    22    25000 2 3    25    40000 3 4    23    35000 4 5    24    30000 5 6    32    30000 6 7    30    50000 7 8    28    20000 8 9    29    32000 9 10   27    23000

Output −

And, the result for a minimum age of an employee id and salary,

 Id Salary 1 2 25000

Solution

To solve this, we will follow the below approaches.

• Define a DataFrame

• Set the condition to check the DataFrame Age column which is equal to minimum age. Store it in result DataFrame.

result = df[df['Age']==df['Age'].min()]

• Filter Id and Salary from result DataFrame. It is defined below,

result[['Id','Salary']]

Example

Let us see the following implementation to get a better understanding.

import pandas as pd data = [[1,27,40000],[2,22,25000],[3,25,40000],[4,23,35000],[5,24,30000], [6,32,30000],[7,30,50000],[8,28,20000],[9,29,32000],[10,27,23000]] df = pd.DataFrame(data,columns=('Id','Age','Salary')) print("DataFrame is\n",df) print("find the minimum age of an employee id and salary\n") result = df[df['Age']==df['Age'].min()] print(result[['Id','Salary']])

Output

DataFrame is  Id    Age   Salary0 1 27 40000 1 2    22    25000 2 3    25    40000 3 4    23    35000 4 5    24    30000 5 6    32    30000 6 7    30    50000 7 8    28    20000 8 9    29    32000 9 10   27    23000 find the minimum age of an employee id and salary  Id Salary 1 2 25000