Guided Notes

Selecting, Filtering & Sorting

Choosing columns, filtering rows with conditions, isin and query, sorting, and adding columns.

Selecting columns

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df['Calories'] β€” one column, as a Series. df[['Duration', 'Calories']] β€” several columns, as a DataFrame (note the double brackets: a list inside the brackets).

Drop columns you don't need: df.drop(columns=['Maxpulse']). Rename them: df.rename(columns={'Calories': 'kcal'}).

Selecting only the columns you need keeps output readable and memory low.

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