DPI settings for resolution in Matplotlib - Step-by-Step Execution

Concept Flow - DPI settings for resolution

Create Figure

↓

Set DPI Value

↓

Draw Plot

↓

Save or Show Figure

↓

Image Resolution Affected

The flow shows how setting DPI affects the resolution of a matplotlib figure when created, drawn, and saved or displayed.

Execution Sample

Matplotlib

import matplotlib.pyplot as plt
fig = plt.figure(dpi=50)
plt.plot([1,2,3],[4,5,6])
plt.show()

This code creates a plot with a figure resolution set by dpi=50, then displays it.

Execution Table

Step	Action	DPI Value	Figure Size (inches)	Pixel Dimensions	Result
1	Create figure with dpi=50	50	6x4 (default)	300x200 pixels	Figure canvas created with low resolution
2	Plot data points	50	6x4	300x200 pixels	Plot lines drawn on canvas
3	Show figure	50	6x4	300x200 pixels	Window opens showing plot at 300x200 pixels
4	Create figure with dpi=150	150	6x4	900x600 pixels	Figure canvas created with higher resolution
5	Plot data points	150	6x4	900x600 pixels	Plot lines drawn on higher resolution canvas
6	Show figure	150	6x4	900x600 pixels	Window opens showing plot at 900x600 pixels
7	Exit	-	-	-	Execution ends after showing plots

💡 Execution stops after displaying plots with different DPI settings.

Variable Tracker

Variable	Start	After Step 1	After Step 4	Final
fig.dpi	None	50	150	150
fig.get_size_inches()	None	[6.0, 4.0]	[6.0, 4.0]	[6.0, 4.0]
Pixel Dimensions	None	300x200	900x600	900x600

Key Moments - 2 Insights

Why does increasing dpi increase the pixel dimensions but not the figure size in inches?

Because dpi means dots per inch, so higher dpi packs more pixels into the same physical size (inches), increasing resolution without changing figure size. See execution_table rows 1 and 4.

Does changing dpi affect the data or just the image quality?

Changing dpi only affects image quality (pixel density), not the data or plot content. The plot lines remain the same, only sharper or blurrier. See execution_table rows 2 and 5.

Visual Quiz - 3 Questions

Look at the execution_table at step 4, what is the pixel dimension of the figure?

A 900x600 pixels

B 300x200 pixels

C 6x4 inches

D 150 dpi

💡 Hint

Check the 'Pixel Dimensions' column at step 4 in execution_table.

At which step does the figure have the lowest resolution?

A Step 6

B Step 4

C Step 1

D Step 3

💡 Hint

Look at the dpi values in execution_table; lower dpi means lower resolution.

If you change dpi from 50 to 100, how will pixel dimensions change for a 6x4 inch figure?

A They will stay the same at 300x200 pixels

B They will double from 300x200 to 600x400 pixels

C They will halve to 150x100 pixels

D They will become 900x600 pixels

💡 Hint

Pixel dimensions = dpi * figure size in inches; doubling dpi doubles pixels.

Concept Snapshot

matplotlib DPI controls image resolution.
Syntax: plt.figure(dpi=VALUE)
Higher dpi means more pixels per inch.
Figure size in inches stays same.
Higher dpi = sharper, larger pixel image.
Useful for saving high-quality plots.

Full Transcript

This visual execution shows how setting the dpi parameter in matplotlib's figure affects the resolution of the plot image. We start by creating a figure with dpi=50, which results in a 6x4 inch figure with 300x200 pixels. Plotting data and showing the figure displays a low-resolution image. Then we create another figure with dpi=150, which triples the pixel dimensions to 900x600 pixels for the same physical size. The plot lines remain the same but appear sharper due to higher pixel density. The variable tracker confirms dpi and pixel dimensions change while figure size stays constant. Key moments clarify that dpi changes resolution, not data, and pixel dimensions depend on dpi times figure size. The quiz tests understanding of pixel size, resolution steps, and dpi effects. The snapshot summarizes dpi usage for controlling plot image quality in matplotlib.