[Solved] This code tries to plot a large dataset but runs very slowly. What is the main issue? import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 1000000) y = np.sin(x) plt.... | Matplotlib

Matplotlib - Performance and Large Data

This code tries to plot a large dataset but runs very slowly. What is the main issue?

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 1000000)
y = np.sin(x)
plt.plot(x, y, marker='o')
plt.show()

AUsing markers for every point slows down the plot

BThe <code>linspace</code> function is incorrect

CMissing <code>plt.figure()</code> before plotting

DThe <code>sin</code> function cannot handle large arrays

Step-by-Step Solution

Solution:

Step 1: Identify the plotting parameters causing slowness
Using marker='o' draws a marker for every point, which is very slow for 1 million points.
Step 2: Understand why other options are incorrect
linspace and sin work fine with large arrays; plt.figure() is optional here.
Final Answer:
Using markers for every point slows down the plot -> Option A
Quick Check:
Markers on millions of points = slow plot = C [OK]

Quick Trick: Avoid markers on every point for big datasets [OK]

Common Mistakes:

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This code tries to plot a large dataset but runs very slowly. What is the main issue?