Python In Practice - 15 Projects to Master Python - Different Types of Plots with Matplotlib

Python In Practice - 15 Projects to Master Python - Different Types of Plots with Matplotlib

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

Created by

Quizizz Content

FREE Resource

This video tutorial covers the basics of using Matplotlib for data visualization in Python. It starts with an introduction to creating basic plots, followed by detailed instructions on generating bar and scatter plots with various customizations. The tutorial then explores horizontal bar charts, including how to compare data using these charts. Finally, it demonstrates how to create and customize pie charts, highlighting the importance of labels and legends in data representation.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of importing Matplotlib in a Python script?

To manage data storage

To create and customize plots

To handle file input and output

To perform complex mathematical calculations

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which method is used to create a bar chart in Matplotlib?

scatter()

bar()

line()

plot()

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you change the color of a plot in Matplotlib?

By using the 'width' parameter

By using the 'color' parameter

By using the 'size' parameter

By using the 'shape' parameter

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What parameter is used to adjust the line width in a Matplotlib plot?

linesize

linewidth

linetype

linecolor

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used to create a horizontal bar chart in Matplotlib?

barh()

bar()

plot()

hbar()

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you add a legend to a Matplotlib plot?

By using the 'legend()' function

By using the 'label()' function

By using the 'title()' function

By using the 'annotate()' function

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of a legend in a plot?

To differentiate between different datasets

To explain the data points

To adjust the plot size

To provide a title for the plot

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