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# Categorize df['breast_size_category'] = [categorize_breast_size(m) for m in measurements]
def categorize_breast_size(measurement): if measurement > 38: # Example threshold return 'Large' elif measurement > 34: return 'Medium' else: return 'Small'
df = pd.DataFrame(data)
print(df) When creating features, especially those related to sensitive characteristics, prioritize clarity, ethical considerations, and privacy. Ensure that your use case is justified and that you've considered the impact on individuals and groups.
# Sample dataframe data = { 'id': [1, 2, 3], 'ethnicity': ['Latina', 'Asian', 'Caucasian'], 'breast_size': ['Large', 'Medium', 'Small'] } Gros Seins Fille Latina Fait Noir
import pandas as pd
# Example measurement data measurements = [40, 35, 32] For example, if you're categorizing based on measurements:
# Display the dataframe print(df) If you're generating a feature programmatically, ensure it's based on clear, defined criteria. For example, if you're categorizing based on measurements:
