Informatics Practices
Assertion. A series is a 1D data structure which is value-mutable but size-immutable.
Reason. Every time you change the size of a series object, change does not take place in the existing series object, rather a new series object is created with the new size.
- 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
Both A and R are true and R is the correct explanation of A.
Explanation
A series is a one-dimensional data structure that is value-mutable but size-immutable. This means that we can modify the values within a series, but we cannot change its size once it's created. Every time we attempt to change the size of a series object by adding or dropping an element, internally a new series object is created with the new size.
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Related Questions
The rename() always makes changes in the default dataframe.
Assertion (A). To use the Pandas library in a Python program, one must import it.
Reasoning (R). The only alias name that can be used with the Pandas library is pd.
- 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.
Assertion. A dataframe is a 2D data structure which is value mutable and size mutable.
Reason. Every change in a dataframe internally creates a new dataframe object.
- 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.
Assertion. A dataframe is value mutable and size-mutable.
Reason. All changes occur in-place in a dataframe.
- 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.