Informatics Practices
Assertion. .loc() is a label based data selecting method to select a specific row(s) or column(s) which we want to select.
Reason. .iloc() can not be used with default indices if customized indices are provided.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but 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
A is true but R is false.
Explanation
The .loc() is a label-based method in Pandas used for selecting specific rows or columns based on their labels (indices). While .iloc() can be used with default indices (0-based integer indices) even if customized indices are provided. .iloc[] is primarily used for integer-location based indexing.
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Related Questions
Assertion. Arithmetic operations on two series objects take place on matching indexes.
Reason. For non-matching indexes of series objects in an arithmetic operation, NaN is returned.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
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Reason. If values are provided for a non-existing column in a dataframe, a new column is added with those values.
- Both A and R are true and R is the correct explanation of A.
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Reason. A DataFrame is a two-dimensional labelled data structure like a table of MySQL.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
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