SAIMLDS

What is the purpose of Seaborn in Python data science?

• Statistical data visualization 

•  Data manipulation

• Storing numerical data

•  Natural language processing 

Which of the following statements about NumPy arrays is correct?

• NumPy arrays can contain elements of different data types. 

• NumPy arrays cannot perform element-wise operations. 

• NumPy arrays have fixed size. 

• NumPy arrays cannot be multidimensional. 

What is the purpose of the `iloc` attribute in Pandas?

• Accessing elements by label 

• Accessing elements by position

• Accessing elements by index 

• Accessing elements by value 

What is the purpose of the `np.random.seed()` function in NumPy?

• It initializes a random number generator. 

• It generates a random array. 

• It sets the seed for the random number generator. 

• It ensures reproducibility of random results. 

What is the purpose of the `np.arange()` function in NumPy?

• To create an array with evenly spaced values within a specified range. 

• To generate random numbers. 

• To calculate the arithmetic mean of an array. 

• To compute the standard deviation of an array. 

 How can you rename a column in a Pandas DataFrame?

• Using the `rename_column()` method 

• Using the `change_column_name()` method 

• Using the `set_column_name()` method 

• Using the `rename()` method 

 Which of the following statements about the `pd.merge()` function in Pandas is true?

• It combines DataFrames horizontally. 

• It combines DataFrames vertically. 

•  It creates a new DataFrame with only unique values.

• It drops duplicate rows from a DataFrame.  

 What is the output of the following Python code?

• [2,3,4]

•  [1,2,3]

• [1, 3, 5]

• [2, 4, 6]

What does the following line of code achieve in Python?

df.dropna(inplace=True)

• Drops all the rows with missing values from the DataFrame. 

• Drops all the columns with missing values from the DataFrame. 

•  Fills missing values with zeros in the DataFrame.

• Replaces missing values with the mean of the respective column. 

Which of the following statements is true regarding Python's Matplotlib library?

• It is primarily used for numerical and scientific computing. 

• It provides tools for data manipulation and analysis. 

• It is a powerful visualization library for creating static, interactive, and animated plots. 

•  It is mainly used for handling large datasets efficiently.