Informatics Practices
Assertion (A): Pandas is a Python library.
Reasoning (R): Pandas is a powerful, flexible and easy to use open source data analysis library.
- 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 Data Handling
1 Like
Answer
Both A and R are true and R is the correct explanation of A.
Explanation
Pandas is a Python library that makes data analysis easy and effective. It is the most famous Python library for data science, offering powerful and flexible data structures that facilitate data analysis and manipulation. As an open-source library, Pandas provides high-performance, easy-to-use data structures and data analysis tools.
Answered By
3 Likes
Related Questions
Which of the following commands shows the information with city="Delhi" from dataframe SHOP?
- print(SHOP[City == 'Delhi'])
- print(SHOP[SHOP.City == 'Delhi])
- print(SHOP[SHOP.'City' == 'Delhi'])
- print(SHOP[SHOP[City] == 'Delhi'])
The following statement will …………… .
df = df.drop(['Name', 'Class', 'Rollno'], axis = 1) #df is a DataFrame object
- delete three columns having labels 'Name', 'Class' and `Rollno'
- delete three rows having labels 'Name', 'Class' and 'Rollno'
- delete any three columns
- return error
Assertion (A): A series stores data row-wise.
Reasoning (R): A series is a one-dimensional labelled data structure.
- 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. DataFrame has both a row and column index.
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.