[Solved] Find the bug in this code:import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 5, 5000) y = np.cos(x) plt.plot(x, y, downsample='max') plt.show()The plot shows no downsampling effect.... | Matplotlib

Matplotlib - Performance and Large Data

Find the bug in this code:

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 5, 5000)
y = np.cos(x)
plt.plot(x, y, downsample='max')
plt.show()

The plot shows no downsampling effect. Why?

AThe 'max' method is not supported for downsampling

BThe plot command is missing 'downsample=True'

CThe 'downsample' parameter is ignored without 'rasterized=True'

DThe data size is too small for downsampling to apply

Step-by-Step Solution

Solution:

Step 1: Understand downsampling threshold
Matplotlib applies downsampling only when data size exceeds a threshold.
Step 2: Check data size
5000 points may be below the threshold, so downsampling does not activate.
Final Answer:
The data size is too small for downsampling to apply -> Option D
Quick Check:
Downsampling activates only on large datasets [OK]

Quick Trick: Downsampling triggers only on large datasets [OK]

Common Mistakes:

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