Informatics Practices
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.
Python Pandas
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Answer
A is false but R is true.
Explanation
The read_sql() function is capable of querying data from MySQL databases, it is limited to databases for which a connection has been established through a MySQL database connector. Without this connection, the read_sql() function cannot query data from the MySQL database.
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Related Questions
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.
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. 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.
- 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.
What are advantages of CSV file formats ?