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function transformer and feature union

# Import FunctionTransformer
from sklearn.preprocessing import FunctionTransformer

# Obtain the text data: get_text_data
get_text_data = FunctionTransformer(lambda x: x['text'], validate=False)

# Obtain the numeric data: get_numeric_data
get_numeric_data = FunctionTransformer(lambda x: x[['numeric', 'with_missing']], validate=False)

# Fit and transform the text data: just_text_data
just_text_data = get_text_data.fit_transform(sample_df)

# Fit and transform the numeric data: just_numeric_data
just_numeric_data = get_numeric_data.fit_transform(sample_df)

# Print head to check results
print('Text Data')
print(just_text_data.head())
print('
Numeric Data')
print(just_numeric_data.head())

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function transformer and feature union

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