Informatics Practices
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.
Python Pandas
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Answer
Both A and R are true and R is the correct explanation of A.
Explanation
A DataFrame is a two-dimensional data structure that is both value-mutable and size-mutable. This means that we can modify the values within a DataFrame, change its size in place once it's created, and add or drop elements in an existing DataFrame object without creating a new DataFrame internally.
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Related Questions
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.
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 series object stores values of homogeneous types.
Reason. Even if values appear to be of different types, internally they are stored in a common datatype.
- 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. Arithmetic operations on two series objects take place on matching indexes.
Reason. Non-matching indexes are removed from the result of arithmetic operation on series objects.
- 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.