Pandas - Apply a Lambda Function to Column Values with apply()
Pandas: Custom Function Exercise-6 with Solution
Write a Pandas program that apply a Lambda function to DataFrame columns using apply() function.
In this exercise, we have applied a lambda function that halves the values of a column using apply() function.
Sample Solution:
Code :
import pandas as pd
# Create a sample DataFrame
df = pd.DataFrame({
'A': [10, 20, 30],
'B': [40, 50, 60]
})
# Apply a lambda function to halve the values in column 'A'
df['A'] = df['A'].apply(lambda x: x / 2)
# Output the result
print(df)
Output:
A B 0 5.0 40 1 10.0 50 2 15.0 60
Explanation:
- Created a DataFrame with columns 'A' and 'B'.
- Applied a lambda function to divide the values in column 'A' by 2.
- Modified column 'A' and printed the updated DataFrame.
Python-Pandas Code Editor:
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