Informatics Practices
Assertion. The read_csv() function of Python Pandas can read data of a csv file into any of pandas data structures.
Reason. DataFrame is a compatible data structure for read_csv() function.
- 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.
Answer
A is false but R is true.
Explanation
The read_csv() function of Python Pandas can only read data from a CSV file into the DataFrame data structure of Pandas. DataFrame is a compatible data structure for the read_csv() function, as it is the primary data structure designed to be created by read_csv().
Related Questions
The read_sql() can also read from CSV files.
Assertion. Python Panda library offers functionality to interact with a CSV file.
Reason. Panda's readcsv() and tocsv() functions can read-from and write-to CSV files.
- 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. The read_csv() function reads a csv file's data into a DataFrame.
Reason. The to_csv() function writes a DataFrame on to a csv file.
- 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. The read_sql() function of Pandas can query upon any mysql database.
Reason. The read_sql() function can query upon only those databases that have a connection established through mysql database connector.
- 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.