# Write a program in Python to find the lowest value in a given DataFrame and store the lowest value in a new row and column

PythonPandasServer Side ProgrammingProgramming

Assume you have a dataframe,

one two three 0 12 13 5 1 10 6 4 2 16 18 20 3 11 15 58

The result for storing the minimum value in new row and column is −

Add new column to store min value
one   two  three min_value
0 12    13   5       5
1 10    6    4       4
2 16    18  20      16
3 11    15  58      11
Add new row to store min value
one   two   three min_value
0   12    13    5       5
1   10     6    4       4
2   16    18   20       16
3   11    15   58       11
4   10    6     4       4

## Solution

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

• Define a dataframe

• Calculate the minimum value in each column and store it as new column using the following step,

df['min_value'] = df.min(axis=1)
• Find the minimum value in each row and store it as new row using the below step,

df.loc[len(df)] = df.min(axis=0)

### Example

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

import pandas as pd
import numpy as np
data = [[12,13,5],[10,6,4],[16,18,20],[11,15,58]]
df = pd.DataFrame(data,columns=('one','two','three'))
print("Add new column to store min value")
df['min_value'] = df.min(axis=1)
print(df)
print("Add new row to store min value")
df.loc[len(df)] = df.min(axis=0)
print(df)

### Output

Add new column to store min value
one   two three min_value
0 12    13   5      5
1 10    6    4      4
2 16    18   20    16
3 11    15   58    11
Add new row to store min value
one  two three min_value
0  12    13   5     5
1  10    6    4     4
2  16    18   20    16
3  11    15   58    11
4  10    6    4     4