Data Filtering Using Python Pandas
Mlearning.ai
SEPTEMBER 4, 2023
It’s like picking the juiciest apples from the orchard.isin() Magic: Select rows matching specific categories effortlessly. Example: Imagine you have a dataset of product names, and you want to extract products that contain the word ‘premium’ in their names. str.contains('phone', case=False)] print(filtered_data) 4.
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