Why Matplotlib for data visualization - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Matplotlib library for plotting.

Matplotlib

import [1] as plt

Drag options to blanks, or click blank then click option'

Amatplotlib.pyplot

Bnumpy

Cpandas

Dseaborn

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the whole matplotlib instead of pyplot.

Importing unrelated libraries like numpy or pandas.

Matplotlib's plotting functions are in the pyplot module, commonly imported as plt.

2fill in blank

medium

Complete the code to create a simple line plot using Matplotlib.

Matplotlib

plt.[1]([1, 2, 3], [4, 5, 6])
plt.show()

Drag options to blanks, or click blank then click option'

Aplot

Bbar

Chist

Dscatter

Attempts:

3 left

💡 Hint

Common Mistakes

Using bar or hist which create different chart types.

Using scatter which plots points without connecting lines.

The plot function draws line plots connecting points.

3fill in blank

hard

Fix the error in the code to add a title to the plot.

Matplotlib

plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]('My Plot')
plt.show()

Drag options to blanks, or click blank then click option'

Aylabel

Bxlabel

Ctitle

Dlegend

Attempts:

3 left

💡 Hint

Common Mistakes

Using xlabel or ylabel which label axes, not the title.

Using legend which adds a legend, not a title.

The title function adds a title to the plot.

4fill in blank

hard

Fill both blanks to create a bar chart with labels.

Matplotlib

plt.[1](['A', 'B', 'C'], [5, 7, 3])
plt.[2]('Categories')
plt.show()

Drag options to blanks, or click blank then click option'

Abar

Bxlabel

Cylabel

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using plot instead of bar for bar charts.

Using ylabel instead of xlabel for x-axis label.

bar creates a bar chart, and xlabel labels the x-axis.

5fill in blank

hard

Fill all three blanks to create a scatter plot with axis labels and a title.

Matplotlib

plt.[1]([1, 2, 3], [4, 5, 6])
plt.[2]('X Axis')
plt.[3]('Y Axis')
plt.title('Scatter Plot')
plt.show()

Drag options to blanks, or click blank then click option'

Aplot

Bxlabel

Cylabel

Dscatter

Attempts:

3 left

💡 Hint

Common Mistakes

Using plot instead of scatter for scatter plots.

Mixing up xlabel and ylabel.

scatter creates scatter plots, xlabel and ylabel label the axes.