Informatics Practices
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.
Python Pandas
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Answer
Both A and R are true and R is the correct explanation of A.
Explanation
Python's Pandas library offers functionality to interact with a CSV file. It provides two functions, read_csv() and to_csv(), which are used for reading data from a CSV file into a DataFrame and writing data from a DataFrame to a CSV file, respectively.
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Related Questions
The to_sql() function cannot work if the named table already exists.
The read_sql() can also read from CSV files.
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.