[Solved] What will be the effect of the following code snippet?import matplotlib.pyplot as plt x = range(10000) y = [i**0.5 for i in x] plt.plot(x, y, rasterized=True) plt.savefig('plot.pdf') | Matplotlib

Matplotlib - Performance and Large Data

What will be the effect of the following code snippet?

import matplotlib.pyplot as plt
x = range(10000)
y = [i**0.5 for i in x]
plt.plot(x, y, rasterized=True)
plt.savefig('plot.pdf')

AThe plot will save slower and the file size will be larger

BThe plot will be saved as a vector image with no raster parts

CThe code will raise an error because rasterized is not valid for plt.plot

DThe plot will save faster and the file size will be smaller

Step-by-Step Solution

Solution:

Step 1: Understand rasterized=True effect on plt.plot
Setting rasterized=True converts the line plot into a raster image part inside the saved file.
Step 2: Impact on saving PDF
This reduces file size and speeds up saving for large data sets like 10,000 points.
Final Answer:
The plot will save faster and the file size will be smaller -> Option D
Quick Check:
rasterized=True speeds saving and reduces file size [OK]

Quick Trick: Rasterize large plots to save faster and smaller files [OK]

Common Mistakes:

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