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

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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
StepActionDPI ValueFigure Size (inches)Pixel DimensionsResult
1Create figure with dpi=50506x4 (default)300x200 pixelsFigure canvas created with low resolution
2Plot data points506x4300x200 pixelsPlot lines drawn on canvas
3Show figure506x4300x200 pixelsWindow opens showing plot at 300x200 pixels
4Create figure with dpi=1501506x4900x600 pixelsFigure canvas created with higher resolution
5Plot data points1506x4900x600 pixelsPlot lines drawn on higher resolution canvas
6Show figure1506x4900x600 pixelsWindow opens showing plot at 900x600 pixels
7Exit---Execution ends after showing plots
💡 Execution stops after displaying plots with different DPI settings.
Variable Tracker
VariableStartAfter Step 1After Step 4Final
fig.dpiNone50150150
fig.get_size_inches()None[6.0, 4.0][6.0, 4.0][6.0, 4.0]
Pixel DimensionsNone300x200900x600900x600
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
Test your understanding
Look at the execution_table at step 4, what is the pixel dimension of the figure?
A900x600 pixels
B300x200 pixels
C6x4 inches
D150 dpi
💡 Hint
Check the 'Pixel Dimensions' column at step 4 in execution_table.
At which step does the figure have the lowest resolution?
AStep 6
BStep 4
CStep 1
DStep 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?
AThey will stay the same at 300x200 pixels
BThey will double from 300x200 to 600x400 pixels
CThey will halve to 150x100 pixels
DThey 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.

Practice

(1/5)
1. What does the dpi parameter control in matplotlib plots?
easy
A. The type of plot (line, bar, scatter)
B. The color scheme of the plot
C. The resolution or sharpness of the saved or displayed plot
D. The size of the plot in inches

Solution

  1. Step 1: Understand the role of DPI in images

    DPI stands for dots per inch and controls how many pixels are used per inch in an image, affecting sharpness.
  2. Step 2: Relate DPI to matplotlib plots

    In matplotlib, setting dpi changes the resolution of the saved or displayed plot, making it sharper or blurrier.
  3. Final Answer:

    The resolution or sharpness of the saved or displayed plot -> Option C
  4. Quick Check:

    DPI controls resolution = D [OK]
Hint: DPI means dots per inch, controlling image sharpness [OK]
Common Mistakes:
  • Confusing DPI with plot size
  • Thinking DPI changes plot colors
  • Assuming DPI changes plot type
2. Which of the following is the correct way to save a matplotlib plot with 300 DPI resolution?
easy
A. plt.savefig('plot.png', dpi='300')
B. plt.save('plot.png', dpi=300)
C. plt.savefig('plot.png', resolution=300)
D. plt.savefig('plot.png', dpi=300)

Solution

  1. Step 1: Recall the correct function to save plots

    The correct function to save a plot in matplotlib is plt.savefig().
  2. Step 2: Check the parameter for resolution

    The parameter to set resolution is dpi, so the correct syntax is plt.savefig('filename', dpi=300).
  3. Final Answer:

    plt.savefig('plot.png', dpi=300) -> Option D
  4. Quick Check:

    Use plt.savefig with dpi=300 = A [OK]
Hint: Use plt.savefig(filename, dpi=number) to set resolution [OK]
Common Mistakes:
  • Using plt.save instead of plt.savefig
  • Using 'resolution' instead of 'dpi'
  • Passing dpi as a string '300'
3. What will be the size in pixels of a saved plot with figsize=(4,3) inches and dpi=200?
medium
A. 4 x 3 pixels
B. 800 x 600 pixels
C. 200 x 150 pixels
D. 1000 x 750 pixels

Solution

  1. Step 1: Calculate width in pixels

    Width in pixels = width in inches * dpi = 4 * 200 = 800 pixels.
  2. Step 2: Calculate height in pixels

    Height in pixels = height in inches * dpi = 3 * 200 = 600 pixels.
  3. Final Answer:

    800 x 600 pixels -> Option B
  4. Quick Check:

    Pixels = inches * dpi = 800x600 [OK]
Hint: Multiply inches by dpi for pixel size [OK]
Common Mistakes:
  • Confusing dpi with inches
  • Multiplying dpi by 100 instead of inches
  • Using dpi as pixel count directly
4. Identify the error in this code snippet that tries to save a plot with 150 DPI:
import matplotlib.pyplot as plt
plt.plot([1,2,3],[4,5,6])
plt.savefig('myplot.png', dpi='150')
medium
A. dpi value should be an integer, not a string
B. plt.plot syntax is incorrect
C. Filename must be .jpg not .png
D. Missing plt.show() before saving

Solution

  1. Step 1: Check the dpi parameter type

    The dpi parameter expects an integer number, but here it is passed as a string '150'.
  2. Step 2: Understand impact of wrong type

    Passing dpi as a string may cause a type error or unexpected behavior when saving the plot.
  3. Final Answer:

    dpi value should be an integer, not a string -> Option A
  4. Quick Check:

    dpi must be int, not string = A [OK]
Hint: dpi must be a number, not quoted text [OK]
Common Mistakes:
  • Passing dpi as string instead of int
  • Thinking plt.show() is needed before savefig
  • Assuming file extension affects dpi
5. You want to save a plot with a fixed pixel size of 1200x900 pixels. Which combination of figsize and dpi will achieve this?
hard
A. figsize=(6,4.5) and dpi=200
B. figsize=(12,10) and dpi=100
C. figsize=(10,8) and dpi=120
D. figsize=(8,7) and dpi=150

Solution

  1. Step 1: Understand pixel size formula

    Pixels = figsize (inches) * dpi. We want 1200 x 900 pixels.
  2. Step 2: Check each option's pixel size

    A: 12*100=1200, 10*100=1000 (wrong)
    B: 6*200=1200, 4.5*200=900 (correct)
    C: 10*120=1200, 8*120=960 (wrong)
    D: 8*150=1200, 7*150=1050 (wrong).
  3. Final Answer:

    figsize=(6,4.5) and dpi=200 -> Option A
  4. Quick Check:

    Pixels = inches * dpi = 1200x900 [OK]
Hint: Pixels = figsize * dpi; pick balanced values [OK]
Common Mistakes:
  • Choosing too large figsize with low dpi
  • Ignoring pixel size formula
  • Assuming dpi alone sets pixel size