What function is used to create a Numpy array from a list?

• numpy.array

• numpy.create_array

• numpy.array_from_list

• numpy.list

How do you create a 2D Numpy array with shape (3, 4)?

• numpy.ones((4, 3))

• numpy.zeros((3, 4))

• numpy.empty((2, 6))

• numpy.array((3, 4))

What is the default data type of a Numpy array if not specified?

• int32

• complex128

• float64

• float32

How can you access the first element of a Numpy array named 'arr'?

• arr.first()

• arr.get(0)

• arr[1]

• arr[0]

What method is used to create a Pandas DataFrame from a dictionary?

• pd.DataFrame()

• pd.createDataFrame()

• pd.DataFrameBuilder()

• pd.DataFrameFromDict()

How do you display the first 5 rows of a DataFrame in Pandas?

• df.slice(0, 5)

• df.head()

• df.show(5)

• df.first(5)

What function is used to check for missing values in a DataFrame?

• checknull()

• findMissing()

• isna()

• isnull()

How can you drop rows with missing values in a DataFrame?

• Invoke df.clearna() to remove rows with missing data.

• Apply df.drop() to discard rows with NaN entries.

• Use df.remove() to eliminate rows with missing values.

• Use df.dropna() to drop rows with missing values.

What is the purpose of the 'groupby' method in Pandas?

• To group data for aggregation or transformation.

• To filter out specific rows from a DataFrame.

• To sort data in ascending order.

• To merge two DataFrames into one.

How do you visualize data using Pandas?

• Use the .visualize() method on a DataFrame.

• Export data to Excel for visualization.

• Create visualizations using Matplotlib only.

• Use the .plot() method on a DataFrame or Series.