Pandas: Find the row for where the value of a given column is maximum
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
Explanation:
The above code creates a pandas DataFrame 'df' with three columns - 'col1', 'col2', and 'col3'. The code then uses the 'argmax()' function to find the index of the maximum value in each column.
Therefore -
- The first 'print' statement returns the index of the row that has the maximum value in 'col1'.
- The second 'print' statement returns the index of the row that has the maximum value in 'col2'.
- The third 'print' statement returns the index of the row that has the maximum value in 'col3'.
Python-Pandas Code Editor:
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