Hands-on exercise – Introduction to Matplotlib

Put the lesson Introduction to Matplotlib into practice by writing a program yourself.

Exercise field

Plot copper's resistivity

The problem

Over a moderate range, the resistivity of copper rises linearly with temperature: ρ = ρ₀ × (1 + α × (T − 293)), with ρ₀ = 1.72 µΩ·cm and α = 0.0039 per K.

Calculate the resistivity at six evenly spaced temperatures from 293 K to 793 K, print the values, and plot them.

Your program should

Use np.linspace() to create 6 temperatures from 293 to 793 K.
Calculate the resistivity at each temperature and print it rounded to 2 decimal places with np.round().
Plot resistivity against temperature with markers, labelled axes (with units) and a title.
The automatic check compares your printed output; check the plot by eye.

Expected output

[1.72 2.39 3.06 3.73 4.4  5.07]

Your solution

Write your program below and press Run. Each run is checked against the expected output.

main.py

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Output

Press Run to see what your program prints.

Need help?

One possible solution. Other programs that print the same output are correct too.

solution.py

import numpy as npimport matplotlib.pyplot as pltrho_0 = 1.72      # µΩ·cm at 293 Kalpha = 0.0039    # 1/Ktemperature = np.linspace(293, 793, 6)resistivity = rho_0 * (1 + alpha * (temperature - 293))print(np.round(resistivity, 2))plt.plot(temperature, resistivity, marker="o")plt.xlabel("Temperature (K)")plt.ylabel("Resistivity (µΩ·cm)")plt.title("Resistivity of copper")plt.grid(True)plt.show()

Output

[1.72 2.39 3.06 3.73 4.4 5.07]