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SciPydata~15 mins

Trapezoidal rule (trapezoid) in SciPy - Mini Project: Build & Apply

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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 values
Create a variable named dx to represent the spacing between time points
Use scipy.integrate.trapezoid with speed and dx to calculate the area
Print 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.
Progress0 / 4 steps
1
Create the time and speed data lists
Create a list called time with values [0, 1, 2, 3, 4] representing time in seconds. Create another list called speed with values [0, 10, 20, 15, 10] representing speed in meters per second.
SciPy
Need a hint?

Use square brackets to create lists with the exact numbers given.

2
Set the spacing between time points
Create a variable called dx and set it to 1 to represent the equal spacing between the time points.
SciPy
Need a hint?

Set dx to the difference between consecutive time points, which is 1 second.

3
Calculate the area using trapezoidal rule
Import trapezoid from scipy.integrate. Use trapezoid(speed, dx=dx) to calculate the area under the speed curve and store it in a variable called area.
SciPy
Need a hint?

Use from scipy.integrate import trapezoid to import the function.

4
Print the calculated area
Print the value of the variable area using print(area).
SciPy
Need a hint?

Use print(area) to show the result.