Python for Data Science: Chapter 5: NumPy and Pandas Libraries
NumPy and Pandas Libraries: Important Part B Questions
Python library
Python for Data Science: Chapter 5: NumPy and Pandas Libraries : Anna University Part B Important Questions and Answers
Python for Data Science
Chapter 5: NumPy and Pandas Libraries
Important Part B Questions
1.
Explain attributes of NumPy arrays with the help of Python programs.
2.
What is the class name of a NumPy array object?
3.
What happens if you modify an array created using .copy () ?
4.
Explain the concept of hierarchical indexing with the help of suitable example.
5.
In Pandas, explain the functions that are used for making groups
6.
What is data aggregation? Explain different types of aggregation functions.
7.
Explain GroupBy object with suitable example.
8.
Explain aggregation, transformation and filtration techniques in detail.
9.
Explain how merging of datasets is done using multiple keys?
10.
What are different types of join operations in data wrangling process?
Python for Data Science: Chapter 5: NumPy and Pandas Libraries : Tag: Computer Programming, Python, Data Science : Python library - NumPy and Pandas Libraries: Important Part B Questions
Python for Data Science: Chapter 5: NumPy and Pandas Libraries
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