How do I validate lists in Python using pandas?

Validating lists in Python using pandas can be essential for ensuring that your data adheres to specific criteria. Pandas provides several methods to perform these validations, such as checking for NaN values, confirming that items are within a certain range, and ensuring that data types match your expectations. Below is an example that demonstrates how to validate lists using pandas.

import pandas as pd # Create a sample DataFrame data = { 'numbers': [1, 2, 3, None, 5], 'names': ['Alice', 'Bob', 'Charlie', 'David', 'Eve'] } df = pd.DataFrame(data) # Validate that there are no NaN values in the 'numbers' column nan_check = df['numbers'].isna().any() # Validate that 'numbers' are within the range 1 to 5 range_check = df['numbers'].between(1, 5).all() # Print validation results print("Contains NaN in 'numbers':", nan_check) print("All values in 'numbers' are within the range 1 to 5:", range_check)

Python pandas data validation list validation DataFrame NaN check range check

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