Exploring Data Science Libraries

What function in NumPy creates an array from a list?

• np.create_array()

• np.array()

• np.list()

• np.from_list()

How do you access the second element of a NumPy array?

• arr[0]

• arr[2]

• arr[1]

• arr.get(1)

What is the purpose of the NumPy function `reshape`?

• To sort the elements of an array.

• To combine multiple arrays into one.

• To filter elements based on a condition.

• To change the shape of an array without altering its data.

How can you perform element-wise addition of two NumPy arrays?

• Use numpy.multiply() for addition.

• Use the '+' operator or numpy.add() to add two NumPy arrays element-wise.

• Combine the arrays into a list and sum them.

• Use the '-' operator to subtract the arrays.

What method in Pandas is used to read a CSV file into a DataFrame?

• load_csv

• import_csv

• fetch_csv

• read_csv

How do you select a specific column from a Pandas DataFrame?

• Use df.select('column_name') to get a column.

• Use df['column_name'] or df.column_name to select a specific column.

• Access column_name directly with df.column_name() to retrieve.

• Call df.get_column('column_name') for selection.

What function would you use to get the first five rows of a DataFrame in Pandas?

• df.first(5)

• df.take(5)

• df.slice(5)

• df.head(5)

How can you filter rows in a DataFrame based on a condition?

• df.select(condition)

• df.filter(condition)

• df[condition] where condition is a boolean mask.

• df.where(condition)

What is the primary purpose of Matplotlib in data visualization?

• To create 3D models for architectural design.

• The primary purpose of Matplotlib in data visualization is to create static, animated, and interactive plots to visualize data.

• To perform statistical analysis on data.

• To manage databases for data storage.

How do you create a simple line plot using Matplotlib?

• Call plt.display() to show the plot

• Import Matplotlib, prepare data, use plt.plot(x, y), and call plt.show() to display the plot.

• Use plt.draw() to create the plot

• Import Seaborn instead of Matplotlib