Answer Happy

Write a function graph_line_colour (vals, colour) where vals (type list) and colour (type string) are two input parameters. The function graph_line_colour (vals, colour) should return a pyplot object plt (e.g., import matplotlib.pyplot as plt) where colour specifies the line colour (e.g., red, blue, etc.) of the graph if it is saved as a figure. Note: the function save_pit (plt1, "output.png") shown in the test cases is creating "output.png" from a pyplot object plt1. For the test cases 1 and 2, your graphs should look something like these (test case 1 on left/top, test case 2 on right/bottom): 8 7 5 3 21 1 O -3 s.

8 7 6 5 4 3 2 1 لب 1 2 3 لیا 5

note: the colour will always be a valid colour. For example: Test Result plt1 graph_line_colour ([1, 3, 6, 5, 8, 71, 'red') Pass! save_plt(plt1, "output.png") plt2 ans ([1, 3, 6, 5, 8, 71, 'red') save_plt (plt2, "ans.png") val= main("output.png", "ans.png") if val <= 0.0001: print("Pass!") else: print("Your graph is different to the expected output, difference: {:.4f}".format(val)) plt1 = graph_line_colour ([1, 3, 6, 5, 8, 71, 'green') Pass! save_plt(plt1, "output.png") plt2 = ans ([1, 3, 6, 5, 8, 71, 'green') save_plt (plt2, "ans.png") val= main("output.png", "ans.png") if val < 0.0001: print("Pass!") else: print("Your graph is different to the expected output, difference: {:.4f)". format (val))

1 import matplotlib.pyplot as plt 2 import numpy as np 3 def graph_line_colour(data, color): """plots fig""" fig plt. figure() plt.plot(data, color) return fig Precheck Check Test Expec xplt1 = graph_line_colour ([1, 3, 6, 5, 8, 71, 'red') Pass! save_plt(plt1, "output.png") plt2 ans ([1, 3, 6, 5, 8, 71, 'red') save_plt(plt2, "ans.png") val= main("output.png", "ans.png") if val 0.0001: print("Pass!") else: print("Your graph is different to the expected output, difference: {:.4f)". format(val))

Expected Got Pass! ***Error*** X Traceback (most recent call last): File "_tester_.python3", line 58, in <module> save_plt (plt1, "output.png") File "_tester_.python3", line 20, in save_plt plt.close() AttributeError: 'Figure' object has no attribute 'close'