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.

1. Both A and R are true and R is the correct explanation of A.
2. Both A and R are true but R is not the correct explanation of A.
3. A is true but R is false.
4. A is false but R is true.

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.

1. Both A and R are true and R is the correct explanation of A.
2. Both A and R are true but R is not the correct explanation of A.
3. A is true but R is false.
4. 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.

1. Both A and R are true and R is the correct explanation of A.
2. Both A and R are true but R is not the correct explanation of A.
3. A is true but R is false.
4. A is false but R is true.

Assertion. A DataFrame's data can be exported as a table of a mysql database.

Reason. Over an established connection to a mysql database, <DF>.to_sql() would write the data of the DataFrame <DF> as a table in the mysql database.

1. Both A and R are true and R is the correct explanation of A.
2. Both A and R are true but R is not the correct explanation of A.
3. A is true but R is false.
4. A is false but R is true.