Informatics Practices
Assertion (A): We can add a new column in an existing DataFrame.
Reason (R): DataFrames are size mutable.
- Both A and R are true, and R is the correct explanation of A.
- Both A and R are true, and R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Python Pandas
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Answer
Both A and R are true, and R is the correct explanation of A.
Explanation
We can add a new column to an existing DataFrame using the .at or .loc methods. A DataFrame is a two-dimensional data structure that is size-mutable. This means that we can add or drop elements in an existing DataFrame object without needing to create a new DataFrame internally.
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- Both A and R are true, and R is not the correct explanation of A.
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