How do I validate dicts in Python using pandas?

To validate dictionaries in Python using pandas, you can utilize the pandas DataFrame functionality. This approach enables you to efficiently handle and validate a collection of dictionaries, ensuring that each entry meets your specified criteria.

Keywords: Python, pandas, validate dictionary, DataFrame, data validation
Description: Learn how to validate dictionaries in Python using pandas by converting dictionaries to DataFrame and applying validation checks effectively.

import pandas as pd

# Example list of dictionaries
data = [
    {'name': 'Alice', 'age': 30},
    {'name': 'Bob', 'age': 'twenty'},  # Invalid age
    {'name': 'Charlie', 'age': 25}
]

# Convert list of dicts to DataFrame
df = pd.DataFrame(data)

# Validate: Check if age is an integer
df['age_valid'] = df['age'].apply(lambda x: isinstance(x, int))

# Display results
print(df)
    

Keywords: Python pandas validate dictionary DataFrame data validation