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NumPy & Matplotlib Basics

Authored by Hitendra Sarma

Engineering

University

Used 2+ times

NumPy & Matplotlib Basics
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the following code output? import numpy as np a = np.array([[1, 2], [3, 4]]) print(a.shape)

(2,)

(2, 2)

(4,)

2x2

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which NumPy function creates an array of all zeros?

np.zeros()

np.empty()

np.ones()

np.fill()

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of np.arange(1, 6, 2)?

[1, 2, 3, 4, 5]

[1, 3, 5]

[2, 4, 6]

[1, 2, 4]

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function in NumPy is used for matrix multiplication (dot product)?

*

np.multiply()

np.dot()

np.append()

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does matplotlib.pyplot.plot() do by default?

Plots a bar chart

Plots an image

Plots a line chart

Plots a 3D surface

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does this code do? import matplotlib.pyplot as plt plt.plot([1, 2, 3], [4, 5, 6]) plt.show()

Displays a horizontal bar chart

Displays a 3D plot

Displays a simple line graph

Displays an error

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the use of plt.subplot(2, 1, 1) in Matplotlib?

Create a 2-row, 1-column grid and activate the 1st subplot

Create a 1-row, 2-column grid

Create two separate figures

Plot two graphs in one window with transparency

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