Mapping sets using pandas can be very useful for transforming or associating values in a DataFrame with corresponding values in a set or list. The map()
function is particularly useful in this context.
Here’s an example of how to use the map()
function with pandas to map values from a set:
import pandas as pd
# Create a DataFrame
data = {'A': ['apple', 'banana', 'cherry', 'date']}
df = pd.DataFrame(data)
# Define a mapping set
mapping_set = {'apple': 'fruit', 'banana': 'fruit', 'carrot': 'vegetable'}
# Map the values in column 'A'
df['mapped'] = df['A'].map(mapping_set)
print(df)
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