Why export quality matters in Matplotlib - Quick Recap

Recall & Review

beginner

What does export quality mean in data visualization?

Export quality refers to how clear and sharp a saved or shared image of a plot looks, especially when printed or zoomed in.

beginner

Why is high export quality important for presentations?

High export quality ensures that charts and graphs look professional and easy to read, making your message clear to the audience.

intermediate

How does resolution affect export quality in matplotlib?

Higher resolution means more pixels per inch (DPI), which makes images sharper and less blurry when zoomed or printed.

intermediate

What is the role of file format in export quality?

Different file formats (like PNG, SVG, PDF) affect quality; vector formats keep images sharp at any size, while raster formats can lose quality when enlarged.

beginner

How can you improve export quality in matplotlib code?

You can increase the DPI setting when saving figures and choose vector formats like PDF or SVG for better quality.

What does DPI stand for in image export?

A Depth Per Instance

B Dots Per Inch

C Data Per Image

D Dimension Per Inch

DPI means Dots Per Inch, which measures image resolution.

Which file format keeps images sharp at any size?

A SVG

B PNG

C JPEG

D BMP

SVG is a vector format that keeps images sharp regardless of size.

Why might a low DPI image look blurry when printed?

A Because it has fewer pixels per inch

B Because it uses vector graphics

C Because it is saved as SVG

D Because it has too many colors

Low DPI means fewer pixels per inch, causing blurriness when printed.

Which matplotlib savefig parameter controls export resolution?

A quality

B format

C dpi

D size

The dpi parameter sets the resolution for saved figures.

What happens if you enlarge a raster image too much?

A It stays sharp

B It converts to vector

C It changes color

D It becomes blurry or pixelated

Enlarging raster images causes blurriness or pixelation.

Explain why export quality matters when sharing data visualizations.

Think about how your plot looks on different screens or printed pages.

Describe how you can improve the export quality of a matplotlib plot.

Consider settings when saving your figure.