Python Pandas Series Programs

If you are learning Python and want to enhance your data manipulation skills with Pandas, this list of 20 program questions focusing on Pandas Series will help you practice and improve.

Questions

1. Create a Pandas Series from a list of integers.
2. Create a Pandas Series using a dictionary of key-value pairs.
3. Access elements of a Pandas Series using both position-based and label-based indexing.
4. Perform arithmetic operations on a Pandas Series (e.g., addition, subtraction).
5. Filter elements of a Pandas Series based on a condition.



6. Convert a Pandas Series to a Python list and vice versa.
7. Find the sum, mean, and standard deviation of the elements in a Pandas Series.
8. Replace specific elements in a Pandas Series with new values.
9. Count the frequency of unique values in a Pandas Series.
10. Check for missing (NaN) values in a Pandas Series and replace them with a specific value.
11. Sort the elements of a Pandas Series in both ascending and descending order.
12. Extract elements from a Pandas Series that fall within a specified range.



13. Combine two Pandas Series into a single Series.
14. Create a Pandas Series with a custom index and retrieve values using those custom indexes.
15. Calculate the cumulative sum of the elements in a Pandas Series.
16. Use the `apply()` function to perform a custom operation on each element of a Pandas Series.
17. Find the index of the maximum and minimum values in a Pandas Series.
18. Reshape a Pandas Series into a DataFrame with two columns.
19. Remove duplicate values from a Pandas Series.
20. Convert a Pandas Series containing date strings into a datetime object and extract the year, month, and day.

These questions cover a range of operations that you can perform on Pandas Series. Practicing these will help you gain a solid understanding of data manipulation with Pandas in Python.