Why export quality matters in Matplotlib - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a simple line plot.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [10, 20, 25, 30])
plt.[1]()

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

Ashow

Bsavefig

Cplot

Dtitle

Attempts:

3 left

💡 Hint

Common Mistakes

Using savefig instead of show will save the plot but not display it.

Calling plot again instead of show will add more lines instead of displaying.

The show() function displays the plot on the screen.

2fill in blank

medium

Complete the code to save the plot as a PNG file.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]('plot_image.png')

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

Ashow

Bplot

Csavefig

Dclose

Attempts:

3 left

💡 Hint

Common Mistakes

Using show instead of savefig will display but not save the plot.

Using close will close the plot without saving.

The savefig() function saves the current plot to a file.

3fill in blank

hard

Fix the error in saving the plot with high resolution.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [3, 2, 1])
plt.savefig('high_res_plot.png', dpi=[1])

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

Adpi

B300

C'300'

D100

Attempts:

3 left

💡 Hint

Common Mistakes

Passing dpi as a string causes an error.

Using too low dpi results in poor image quality.

The dpi parameter expects an integer for resolution. 300 dpi is a common high-quality setting.

4fill in blank

hard

Fill both blanks to save a plot with a transparent background and tight layout.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [3, 2, 1])
plt.savefig('transparent_plot.png', [1]=True, [2]='tight')

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

Atransparent

Bdpi

Cbbox_inches

Dfacecolor

Attempts:

3 left

💡 Hint

Common Mistakes

Using facecolor instead of transparent for transparency.

Not using bbox_inches='tight' causes extra whitespace.

transparent=True makes the background see-through.
bbox_inches='tight' trims extra whitespace around the plot.

5fill in blank

hard

Fill all three blanks to save a plot with a custom size, high dpi, and no axis.

Matplotlib

import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=([1], [2]))
ax.plot([1, 2, 3], [3, 2, 1])
ax.axis([3])
fig.savefig('custom_plot.png', dpi=300)

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

A8

B6

C'off'

D'on'

Attempts:

3 left

💡 Hint

Common Mistakes

Using strings instead of numbers for figsize.

Using 'on' instead of 'off' to hide axes.

figsize=(8, 6) sets the plot size in inches.
ax.axis('off') hides the axis lines and labels.
The plot is saved with 300 dpi for high quality.