Pandas - Ensure no negative values in a DataFrame column

Last update on December 21 2024 09:14:51 (UTC/GMT +8 hours)

Pandas: Data Validation Exercise-15 with Solution

Write a Pandas program that ensures no negative values in a DataFrame column.

This exercise shows how to ensure that a column contains no negative values.

Sample Solution :

Code :

import pandas as pd

# Create a sample DataFrame with numerical values
df = pd.DataFrame({
    'Amount': [100, -50, 200, -10]
})

# Check for any negative values in the 'Amount' column
no_negatives = (df['Amount'] >= 0).all()

# Output the result
print(f"Are there any negative values? {not no_negatives}")

Output:

Are there any negative values? True

Explanation:

• Created a DataFrame with numerical 'Amount' values, including negatives.
• Used a condition to check if all values in the 'Amount' column are non-negative.
• Outputted whether there are any negative values in the column.

Python-Pandas Code Editor:

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