[Solved] What will be the effect of this code snippet?import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 10000) y = np.sin(x) plt.plot(x, y, downsample='min') plt.show() | Matplotlib

Matplotlib - Performance and Large Data

What will be the effect of this code snippet?

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 10000)
y = np.sin(x)
plt.plot(x, y, downsample='min')
plt.show()

APlot will render faster by plotting fewer points using minimum value in intervals

BPlot will show all 10,000 points without any change

CPlot will raise an error because 'min' is not a valid method

DPlot will use maximum values instead of minimum

Step-by-Step Solution

Solution:

Step 1: Understand 'min' downsampling method
The 'min' method selects minimum y-values in intervals to reduce points.
Step 2: Effect on rendering
This reduces points plotted, speeding up rendering while preserving important features.
Final Answer:
Plot will render faster by plotting fewer points using minimum value in intervals -> Option A
Quick Check:
Downsample 'min' reduces points using minimum values [OK]

Quick Trick: Downsample 'min' picks minimum points to speed plot [OK]

Common Mistakes:

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What will be the effect of this code snippet?