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# In line 7 - 'list' object has no attribute 'ndim'

 2Bits import numpy as np from numpy import arange from mpl_toolkits.mplot3d.axes3d import Axes3D import matplotlib.pyplot as plt def map2(fn, A, B): """Map fn to corresponding elements of 2D arrays A and B.""" return[list(map(fn, Arow, Brow)) for (Arow, Brow) in zip(A, B)] def score(A, B): """Compute the outcome of the race for player A, given A and B to be speeds of the cars.""" assert 10 <= A <= 100 and 10 <= B <= 100 # you can't get too slow or too fast trackA = 100 - B trackB = 100 - A tA = trackA/A tB = trackB/B return tB - tA ## Graph the space of possible scores for A speeds = arange(10, 101) A, B = np.meshgrid(speeds, speeds) fig = plt.figure(figsize=(10, 10)) ax = fig.add_subplot(1, 1, 1, projection='3d') ax.set_xlabel('Speed of A') ax.set_ylabel('Speed of B') ax.set_zlabel('Race Score for A') ax.plot_surface(A, B, map2(score, A, B)); fig.show() ## Maximum score for A print("Max score for A:", max([score(A, B), A, B] for A in speeds for B in speeds)) ## If player B gets to respond with a speed choice, with full knowledge of A's choice, what ## speed should A choose to maximize the score? print("Max score for A if B responds:", max(min([score(A, B), A, B] for B in speeds) for A in speeds)) ## What if B chooses a speed first, and then A responds? print("Max score for A if A responds:", min(max([score(A, B), A, B] for A in speeds) for B in speeds)) 1 Week Ago #1

It's not in line 7 - BUT when you run the code you get the following message:

-> 1555 if Z.ndim != 2:
1556 raise ValueError("Argument Z must be 2-dimensional.")
1557 if np.any(np.isnan(Z)):

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