﻿ Pandas: Find the row for where the value of a given column is maximum - w3resource

# Pandas: Find the row for where the value of a given column is maximum

## Pandas: DataFrame Exercise-45 with Solution

Write a Pandas program to find the row for where the value of a given column is maximum.

Sample Solution:

Python Code :

import pandas as pd
d = {'col1': [1, 2, 3, 4, 7], 'col2': [4, 5, 6, 9, 5], 'col3': [7, 8, 12, 1, 11]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
print("Row where col1 has maximum value:")
print(df['col1'].argmax())
print("Row where col2 has maximum value:")
print(df['col2'].argmax())
print("Row where col3 has maximum value:")
print(df['col3'].argmax())

Sample Output:

Original DataFrame
col1  col2  col3
0     1     4     7
1     2     5     8
2     3     6    12
3     4     9     1
4     7     5    11
Row where col1 has maximum value:
4
Row where col2 has maximum value:
3
Row where col3 has maximum value:
2

Python-Pandas Code Editor:

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## Python: Tips of the Day

Inserting if statements using conditional list comprehensions:

x = [1, 2, 3, 4, 5, 6]
result = []
for idx in range(len(x)):
if x[idx] % 2 == 0:
result.append(x[idx] * 2)
else:
result.append(x[idx])
result

Output:

[1, 4, 3, 8, 5, 12]
[(element * 2 if element % 2 == 0 else element) for element in x]

Output:

[1, 4, 3, 8, 5, 12]
[element * 2 for element in x if element % 2 == 0]

Output:

[4, 8, 12]