Part 1 - Pandas MCQ Questions | Data Science MCQ Questions | Python Lib

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Pandas was created in 2008, by Wes McKinney.
In 2012, Pandas became an open-source project, it gained popularity within the Python community. And become one of the most widely used libraries in the Python ecosystem.
Pandas became an essential tool in data analysis, data science to handle and analyze financial data efficiently.
Pandas is built on top of the NumPy library.
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1. Which library serves as the foundation for Pandas?
C. NumPy

2. What is Pandas?
B. A data manipulation library.

3. What was the primary motivation behind the creation of Pandas?
A. Handling financial data.

4. Which of the following is the primary data structure in Pandas?
C. DataFrame

5. Which command is used to import the Pandas library in Python? -
C. import pandas

6. What is a Series in Pandas?
A. A one-dimensional labeled array.

7. What is a DataFrame in Pandas?
B. A two-dimensional labeled data structure.

8. What is the function used to read a CSV file into a Pandas DataFrame?
A. read_csv()

9. How do you merge two DataFrames in Pandas?
A. merge()

10. How do you handle missing values in a DataFrame?
D. fillna()

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