Calculate Area Under Curve Using Trapezoidal Rule
📖 Scenario: You have collected data points representing the speed of a car at different times during a trip. You want to estimate the total distance traveled by calculating the area under the speed-time curve.
🎯 Goal: Use the trapezoidal rule to calculate the approximate area under the curve from the given speed and time data points.
📋 What You'll Learn
Create two lists named
time and speed with exact valuesCreate a variable named
dx to represent the spacing between time pointsUse
scipy.integrate.trapezoid with speed and dx to calculate the areaPrint the calculated area using
print(area)💡 Why This Matters
🌍 Real World
Estimating distance traveled from speed data is common in vehicle tracking and sports analytics.
💼 Career
Data scientists often use numerical integration methods like the trapezoidal rule to analyze sensor data and calculate totals from sampled measurements.
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