Sets in Python can be created using the pandas library to handle unique collections of items effectively. Sets are useful for operations like unions, intersections, and differences. Below is a simple example of how to create sets using pandas.
import pandas as pd
# Create a DataFrame
df = pd.DataFrame({
'A': [1, 2, 3, 4],
'B': [3, 4, 5, 6]
})
# Create sets from DataFrame columns
set_a = set(df['A'])
set_b = set(df['B'])
# Perform set operations
union_set = set_a | set_b
intersection_set = set_a & set_b
print("Set A:", set_a)
print("Set B:", set_b)
print("Union of sets:", union_set)
print("Intersection of sets:", intersection_set)
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