CLASS XII SERIES MCQ QUESTION

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Here are some MCQ questions based on Pandas Series:

Basic Pandas Series MCQs:

What is a Pandas Series in Python?
- a) A 2D array-like structure with rows and columns
- b) A 1D labeled array capable of holding data of any type
- c) A collection of tables
- d) A list of dictionaries
- Answer: b) A 1D labeled array capable of holding data of any type
Which of the following is the correct way to create a Pandas Series from a list in Python?
```
python
data = [10, 20, 30, 40]
```
- a) s = pd.Series([data])
- b) s = pd.Series(data)
- c) s = pd.DataFrame(data)
- d) s = pd.array(data)
- Answer: b) s = pd.Series(data)
Which of the following can be used as valid data types for a Pandas Series?
- a) Lists
- b) NumPy arrays
- c) Dictionaries
- d) All of the above
- Answer: d) All of the above
By default, what does the index of a Pandas Series start with?
- a) 0
- b) 1
- c) -1
- d) The index must be explicitly defined
- Answer: a) 0
How can you access the first element of a Pandas Series s?
- a) s[0]
- b) s.first()
- c) s[1]
- d) s.head()
- Answer: a) s[0]
How can you get the index labels of a Pandas Series?
- a) s.values
- b) s.index
- c) s.labels
- d) s.columns
- Answer: b) s.index
What method would you use to return the first 3 rows of a Pandas Series s?
- a) s.tail(3)
- b) s.head(3)
- c) s.first(3)
- d) s.top(3)
- Answer: b) s.head(3)
Which method is used to return the underlying data of a Pandas Series as a NumPy array?
- a) s.index
- b) s.array()
- c) s.to_numpy()
- d) s.index.values
- Answer: c) s.to_numpy()
What does the dtype attribute of a Pandas Series return?
- a) The data type of the values stored in the Series
- b) The length of the Series
- c) The index labels
- d) The name of the Series
- Answer: a) The data type of the values stored in the Series
What happens when you try to add two Pandas Series with different index values?
- a) Raises an error
- b) Automatically aligns the Series based on their indexes and adds the corresponding values
- c) Only adds the values from the first Series
- d) Only adds the values from the second Series
- Answer: b) Automatically aligns the Series based on their indexes and adds the corresponding values

Advanced Pandas Series MCQs:

How can you give a Pandas Series a name?
- a) Using the rename() method
- b) Assigning a value to the name attribute
- c) Using the set_name() method
- d) Using the Series() constructor with the name parameter
- Answer: b) Assigning a value to the name attribute
Which method would you use to sort a Pandas Series by its index?
- a) s.sort()
- b) s.sort_values()
- c) s.order()
- d) s.sort_index()
- Answer: d) s.sort_index()
How would you check for missing values (NaN) in a Pandas Series s?
- a) s.check_na()
- b) s.isnull()
- c) s.isnan()
- d) s.empty()
- Answer: b) s.isnull()
What will the following code return?
```
python
s = pd.Series([10, 20, None, 30])
s.notnull()
```
- a) A Series of boolean values indicating if the data is not missing
- b) The first non-null value
- c) A list of non-null values
- d) An error
- Answer: a) A Series of boolean values indicating if the data is not missing
Which function is used to return the descriptive statistics of a Pandas Series? (outofsyllabus)
- a) s.describe()
- b) s.stats()
- c) s.details()
- d) s.summary()
- Answer: a) s.describe()
How can you change the index of a Pandas Series?
- a) Using the index method
- b) Using the set_index() method
- c) Directly assigning a new index using s.index = new_index
- d) Using the reindex() method
- Answer: c) Directly assigning a new index using s.index = new_index
How can you check if a specific label is present in a Pandas Series?
- a) label in s
- b) s.label_exists(label)
- c) s.index.has_label(label)
- d) s.contains(label)
- Answer: a) label in s
Which of the following functions can be used to append data to a Pandas Series? (outofsyllabus)
- a) append()
- b) concat()
- c) extend()
- d) merge()
- Answer: a) append()
What will the following code return?
```
python
s = pd.Series([10, 20, 30])
s + 5
```
- a) [15, 25, 35]
- b) A new Series with 5 added to each value
- c) A new Series with values multiplied by 5
- d) An error
- Answer: b) A new Series with 5 added to each value
Which method is used to return the unique values in a Pandas Series?
- a) s.unique()
- b) s.distinct()
- c) s.drop_duplicates()
- d) s.values_unique()
- Answer: a) s.unique()

What will the following code do?
```
python
s = pd.Series([10, 20, 30], index=['a', 'b', 'c'])
s['b']
```
- a) Return 10
- b) Return 20
- c) Return ['a', 'b', 'c']
- d) Raise an error
- Answer: b) Return 20
How can you filter a Pandas Series s to show values greater than 15?
- a) s > 15
- b) s.filter(15)
- c) s[s > 15]
- d) s.greater(15)
- Answer: c) s[s > 15]
What does the counts() method of a Pandas Series return?
- a) A count of unique values in the Series
- b) The total number of elements in the Series
- c) The number of missing values in the Series
- d) The sum of all the values in the Series
- Answer: a) A count of unique values in the Series
Which of the following can be used to handle missing values in a Pandas Series?
- a) fillna()
- b) dropna()
- c) Both a and b
- d) drop_duplicates()
- Answer: c) Both a and b
How can you rename the index of a Pandas Series s?
- a) s.set_index(new_index)
- b) s.rename_index(new_index)
- c) s.index = new_index
- d) s.reset_index(new_index)
- Answer: c) s.index = new_index
Which of the following methods can you use to return the sum of all elements in a Pandas Series?
- a) s.add()
- b) s.sum()
- c) s.count()
- d) s.values.sum()
- Answer: b) s.sum()
What will the following code do?
```
python
s = pd.Series([1, 2, 3, 4, 5])
s[1:4]
```
- a) Return the first four values of the Series
- b) Return the second to fourth values of the Series
- c) Return the second, third, and fourth values (index positions 1 to 3)
- d) Raise an error
- Answer: c) Return the second, third, and fourth values (index positions 1 to 3)
How can you check if a Pandas Series is empty?
- a) s.empty()
- b) s.is_empty()
- c) s.empty
- d) len(s) == 0
- Answer: c) s.empty

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