Exploring Matplotlib and NumPy

What is the primary purpose of the Matplotlib library?

• To perform statistical analysis in Python.

• To manage databases in Python.

• To create visualizations in Python.

• To create web applications in Python.

How do you create a simple line graph using Matplotlib?

• Import Matplotlib, prepare data, use plt.plot(), add labels, and call plt.show() to display.

• Call plt.display() to show the graph

• Import Seaborn for line graphs instead of Matplotlib

• Use plt.bar() instead of plt.plot()

What function is used to create a NumPy array?

• numpy.array()

• numpy.createArray()

• numpy.newArray()

• numpy.makeArray()

What is the difference between a list and a NumPy array?

• A NumPy array can contain mixed data types; a list cannot.

• A list is always larger than a NumPy array.

• A list is optimized for numerical operations, while a NumPy array is not.

• A list can contain mixed data types; a NumPy array requires uniform data types and is optimized for numerical operations.

What is the purpose of the 'plt.show()' function in Matplotlib?

• To display the created plots and figures.

• To save the plots to a file.

• To create a new figure window.

• To clear the current plot.