# Write a program in Python to select any random odd index rows in a given DataFrame

Assume, you have a dataframe,

DataFrame is:
id mark age
0 1 70   12
1 2 60   13
2 3 40   12
3 4 50   13
4 5 80   12
5 6 90   13
6 7 60   12

And, the result for selecting any random odd index row is,

Random odd index row is:
id    4
mark   50
age    13

## Solution

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

• Define a dataframe

• Create an empty list to append odd index values

• Create a for loop to access all the index. It is defined below,

for i in df.index.values:
• Create an if condition to check the odd index. If it is matches, then append the values to the list,

if(i%2==1):
l.append(i)
• Generate any one random value from the list and store it random_index

random_index = rand.choice(l)
• Finally, print the odd index row using the iloc.

df.iloc[random_index]

### Example

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

import pandas as pd
import random as rand
df = pd.DataFrame({'id': [1,2,3,4,5,6,7],
'mark': [70,60,40,50,80,90,60],
'age':[12,13,12,13,12,13,12]
})
print("DataFrame is:\n",df)
l = []
for i in df.index.values:
if(i%2==1):
l.append(i)
random_index = rand.choice(l)
print("Random odd index row is: \n", df.iloc[random_index])

### Output

DataFrame is:
id mark age
0 1 70   12
1 2 60   13
2 3 40   12
3 4 50   13
4 5 80   12
5 6 90   13
6 7 60   12
Random odd index row is:
id    4
mark   50
age    13
Name: 3, dtype: int64