745 lines
14 KiB
Python
Executable File
745 lines
14 KiB
Python
Executable File
# %%
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# libraries
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import numpy as np
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import matplotlib.pyplot as plt
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# width of the bars
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# barWidth = 0.3
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# # Choose the height of the blue bars
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# undirected = [
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# # 5390.36,
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# 2.56,
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# 8.42,
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# 39.5,
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# ]
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# # Choose the height of the cyan bars
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# directed = [
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# # 5440.1,
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# 2.8,
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# 7.48,
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# 39.76,
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# ]
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# # The x position of bars
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# r1 = np.arange(len(undirected))
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# r2 = [x + barWidth for x in r1]
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# # Create blue bars
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# plt.bar(r2, undirected, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='undirected')
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# # Create cyan bars
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# plt.bar(r1, directed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='directed')
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# # general layout
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# plt.xticks([r + barWidth/2 for r in range(len(undirected))], ['Pairings', 'HAWishes', 'EncWishes'])
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# plt.ylabel('# Violations')
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# plt.legend()
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# plt.title("Directed vs Undirected")
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# # Show graphic
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# plt.show()
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# # %%
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# # libraries
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# import numpy as np
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# import matplotlib.pyplot as plt
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# # width of the bars
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# barWidth = 0.3
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# # Choose the height of the blue bars
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# undirected = [
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# 18.9313149871523
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# ]
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# # Choose the height of the cyan bars
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# directed = [
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# 21.8851814402876
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# ]
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# # The x position of bars
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# r1 = np.arange(len(undirected))
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# r2 = [x + barWidth for x in r1]
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# # Create blue bars
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# plt.bar(r1, undirected, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='undirected')
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# # Create cyan bars
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# plt.bar(r2, directed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='directed')
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# # general layout
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# plt.xticks([r + barWidth/2 for r in range(len(undirected))], ['Improvement'])
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# plt.ylabel('%')
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# plt.legend()
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# plt.title("Directed vs Undirected")
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# # Show graphic
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# plt.show()
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# # %%
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# # libraries
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# import numpy as np
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# import matplotlib.pyplot as plt
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# # width of the bars
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# barWidth = 1
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# # Choose the height of the blue bars
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# ucl = [
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# 0,
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# 0.08,
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# (0.08+0.04)/2,
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# (2.36+2.64)/2,
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# ]
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# # Choose the height of the cyan bars
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# relaxed = [
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# 0,
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# 0,
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# (0.24+0.12)/2,
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# (2.36+2.72)/2,
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# ]
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# diff = [-round(ucl[i] - relaxed[i],2) for i in range(len(ucl))]
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# bars4 = ucl + relaxed + diff
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# # The x position of bars
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# # r1 = np.arange(len(ucl))
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# # r2 = [x + barWidth for x in r1]
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# # r3 = [x + 2*barWidth for x in r1]
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# r1 = [0, 4, 8, 12]
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# r2 = [1, 5, 9, 13]
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# r3 = [2, 6, 10, 14]
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# r4 = r1 + r2 + r3
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# # Create labels
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# label = bars4
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# # Text on the top of each bar
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# for i in range(len(r4)):
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# plt.text(x = r4[i]-0.3 , y = bars4[i]+0.1, s = label[i], size = 6)
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# # Create blue bars
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# plt.bar(r1, ucl, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='ucl')
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# # Create cyan bars
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# plt.bar(r2, relaxed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='relaxed')
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# # Create cyan bars
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# plt.bar(r3, diff, width = barWidth, color = 'red', edgecolor = 'black', capsize=7, label='diff')
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# # general layout
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# plt.xticks([1 + r*4 for r in range(len(ucl))], ['Hard','A','B','C'])
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# plt.ylabel('%')
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# plt.legend()
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# plt.title("Pairings")
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# # Show graphic
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# plt.show()
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# # %%
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# # libraries
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# import numpy as np
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# import matplotlib.pyplot as plt
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# # width of the bars
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# barWidth = 1
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# # Choose the height of the blue bars
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# ucl = [
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# round((0 + 0)/2,2),
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# round((1.28 + 1.44)/2,2),
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# round((6.28 + 7.24)/2,2),
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# round((0 + 0)/2,2),
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# ]
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# # Choose the height of the cyan bars
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# relaxed = [
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# round((0+0)/2,2),
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# round((1.44+1.36)/2,2),
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# round((5.96+6.8)/2,2),
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# round((0+0)/2,2),
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# ]
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# diff = [-round(ucl[i] - relaxed[i],2) for i in range(len(ucl))]
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# bars4 = ucl + relaxed + diff
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# # The x position of bars
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# # r1 = np.arange(len(ucl))
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# # r2 = [x + barWidth for x in r1]
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# # r3 = [x + 2*barWidth for x in r1]
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# r1 = [0, 4, 8, 12]
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# r2 = [1, 5, 9, 13]
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# r3 = [2, 6, 10, 14]
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# r4 = r1 + r2 + r3
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# # Create labels
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# label = bars4
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# # Text on the top of each bar
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# for i in range(len(r4)):
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# plt.text(x = r4[i]-0.3 , y = bars4[i]+0.1, s = label[i], size = 6)
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# # Create blue bars
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# plt.bar(r1, ucl, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='ucl')
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# # Create cyan bars
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# plt.bar(r2, relaxed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='relaxed')
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# # Create cyan bars
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# plt.bar(r3, diff, width = barWidth, color = 'red', edgecolor = 'black', capsize=7, label='diff')
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# # general layout
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# plt.xticks([1 + r*4 for r in range(len(ucl))], ['Hard','A','B','C'])
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# plt.ylabel('%')
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# plt.legend()
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# plt.title("HAWishes")
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# # Show graphic
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# plt.show()
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# # %%
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# # libraries
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# import numpy as np
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# import matplotlib.pyplot as plt
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# # width of the bars
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# barWidth = 1
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# # Choose the height of the blue bars
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# ucl = [
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# round((0+0)/2,2),
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# round((2.56+2.72)/2,2),
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# round((27.64+27.84)/2,2),
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# round((11.92+12.24)/2,2),
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# ]
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# # Choose the height of the cyan bars
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# relaxed = [
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# round((0+0)/2,2),
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# round((0.96+0.76)/2,2),
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# round((26.6+26.52)/2,2),
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# round((9.32+9.44)/2,2),
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# ]
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# diff = [-round(ucl[i] - relaxed[i],2) for i in range(len(ucl))]
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# bars4 = ucl + relaxed + diff
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# # The x position of bars
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# # r1 = np.arange(len(ucl))
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# # r2 = [x + barWidth for x in r1]
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# # r3 = [x + 2*barWidth for x in r1]
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# r1 = [0, 4, 8, 12]
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# r2 = [1, 5, 9, 13]
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# r3 = [2, 6, 10, 14]
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# r4 = r1 + r2 + r3
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# # Create labels
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# label = bars4
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# # Text on the top of each bar
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# for i in range(len(r4)):
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# plt.text(x = r4[i]-0.3 , y = bars4[i]+0.1, s = label[i], size = 6)
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# # Create blue bars
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# plt.bar(r1, ucl, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='ucl')
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# # Create cyan bars
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# plt.bar(r2, relaxed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='relaxed')
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# # Create cyan bars
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# plt.bar(r3, diff, width = barWidth, color = 'red', edgecolor = 'black', capsize=7, label='diff')
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# # general layout
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# plt.xticks([1 + r*4 for r in range(len(ucl))], ['Hard','A','B','C'])
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# plt.ylabel('%')
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# plt.legend()
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# plt.title("EncWishes")
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# # Show graphic
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# plt.show()
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# # %%
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# # library
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# import matplotlib.pyplot as plt
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# # create random data
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# values=[
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# round((204+208)/2,2),
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# round((516+560)/2,2),
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# round((4756+4755)/2,2),
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# ]
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# names=f'Pairings {round(values[0]/sum(values)*100)}%', f'HAWishes {round(values[1]/sum(values)*100)}%', f'Encounters {round(values[2]/sum(values)*100)}%',
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# # Create a pieplot
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# plt.pie(values)
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# # Label distance: gives the space between labels and the center of the pie
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# plt.pie(values, labels=names, labeldistance=1.15);
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# plt.show();
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# # %%
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# # %%
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# # libraries
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# import numpy as np
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# import matplotlib.pyplot as plt
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# # width of the bars
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# barWidth = 0.3
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# # Choose the height of the blue bars
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# undirected = [
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# 18.9313149871523
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# ]
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# # Choose the height of the cyan bars
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# directed = [
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# 21.8851814402876
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# ]
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# # The x position of bars
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# r1 = np.arange(len(undirected))
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# r2 = [x + barWidth for x in r1]
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# # Create blue bars
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# plt.bar(r1, undirected, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='undirected')
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# # Create cyan bars
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# plt.bar(r2, directed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='directed')
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# # general layout
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# plt.xticks([r + barWidth/2 for r in range(len(undirected))], ['Improvement'])
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# plt.ylabel('%')
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# plt.ylim(0, 40)
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# plt.legend()
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# # Show graphic
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# plt.show()
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# # %%
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# # %%
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# # libraries
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# import numpy as np
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# import matplotlib.pyplot as plt
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# # width of the bars
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# barWidth = 0.3
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# # Choose the height of the blue bars
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# undirected = [
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# 6008.88,
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# 6052.68,
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# ]
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# # Choose the height of the cyan bars
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# directed = [
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# 4871.32,
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# 4728.04,
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# ]
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# # The x position of bars
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# r1 = np.arange(len(undirected))
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# r2 = [x + barWidth for x in r1]
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# # Create blue bars
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# plt.bar(r1, undirected, width = barWidth, color = 'salmon', edgecolor = 'black', capsize=7, label='classic')
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# # Create cyan bars
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# plt.bar(r2, directed, width = barWidth, color = 'lightgreen', edgecolor = 'black', capsize=7, label='relaxed')
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# # general layout
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# plt.xticks([r + barWidth/2 for r in range(len(undirected))], ['undirected','directed'])
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# plt.ylabel('Objective')
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# # plt.ylim(0, 40)
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# plt.legend()
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# # Show graphic
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# plt.show()
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# # %%
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# %%
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# libraries
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import numpy as np
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import matplotlib.pyplot as plt
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# width of the bars
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barWidth = 15
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columns = [
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# 'Overall Quality',
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# 'Stadium/city clash',
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'Stadium/City Clash',
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'TV-pairing NA5 1st',
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'TV-pairing other 1st',
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'TV-pairing NA5 2nd (HA)',
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'SKO (HA)',
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'Weekdays (HA)',
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'Balance (ENC)',
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'Quality (ENC)',
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'Structure',
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]
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# Choose the height of the blue bars
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ucl = [
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# 3040.22,
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0,
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0,
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0,
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0.4,
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0.2,
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9.53,
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11.49,
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3.99,
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0,
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]
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# Choose the height of the cyan bars
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relaxed = [
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# 2644.3,
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0,
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0,
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0,
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0.52,
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0.19,
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9.9,
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9.74,
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2.9,
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0,
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]
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print(len(columns),len(ucl),len(relaxed))
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diff = [-round(ucl[i] - relaxed[i],2) for i in range(len(ucl))]
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bars4 = ucl + relaxed + diff
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# The x position of bars
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# r1 = np.arange(len(ucl))
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# r2 = [x + barWidth for x in r1]
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# r3 = [x + 2*barWidth for x in r1]
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r1 = [4*i*barWidth for i in range(len(ucl))]
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r2 = [4*i*barWidth+1*barWidth for i in range(len(ucl))]
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r3 = [4*i*barWidth+2*barWidth for i in range(len(ucl))]
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r4 = r1 + r2 + r3
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# Create labels
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label = bars4
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# Text on the top of each bar
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for i in range(len(r4)):
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plt.text(x = r4[i]-0.3 , y = bars4[i]+0.1, s = label[i], size = 12, rotation=90)
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# Create blue bars
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plt.bar(r1, ucl, width = barWidth, color = 'blue', edgecolor = 'black', capsize=20, label='classic')
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# Create cyan bars
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plt.bar(r2, relaxed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='3breaks')
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# Create cyan bars
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plt.bar(r3, diff, width = barWidth, color = 'red', edgecolor = 'black', capsize=7, label='diff')
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# general layout
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plt.xticks([10+ r*4*barWidth for r in range(len(ucl))], columns, rotation=25, fontsize=12)
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plt.ylabel('average # of violations', fontsize=12)
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plt.legend()
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# plt.ylim((0,3))
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plt.title("Comparison based on 100 random draws")
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# plt.savefig('classic_vs_3.png', dpi=300)
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# Show graphic
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plt.show()
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# %%
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# %%
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# libraries
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import numpy as np
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import matplotlib.pyplot as plt
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# width of the bars
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barWidth = 15
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columns = [
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# 'Overall Quality',
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# 'Stadium/city clash',
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'Stadium/City Clash',
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'TV-pairing NA5 1st',
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'TV-pairing other 1st',
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'TV-pairing NA5 2nd (HA)',
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'SKO (HA)',
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'Weekdays (HA)',
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'Balance (ENC)',
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'Quality (ENC)',
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'Structure',
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]
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# Choose the height of the blue bars
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ucl = [
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# 3040.22,
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# 0,
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# 0,
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# 0,
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# 0.4,
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# 0,
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0,
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0,
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0,
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0.45,
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0.19,
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9.52,
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11.67,
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3.76,
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0,
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]
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# Choose the height of the cyan bars
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relaxed = [
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# 2644.3,
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# 0,
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# 0,
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# 0,
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# 0.52,
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# 0,
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0,
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0,
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0,
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0.6,
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0.19,
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9.27,
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11.3,
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3.17,
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0,
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|
|
]
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|
|
|
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print(len(columns),len(ucl),len(relaxed))
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|
|
|
|
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diff = [-round(ucl[i] - relaxed[i],2) for i in range(len(ucl))]
|
|
|
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bars4 = ucl + relaxed + diff
|
|
|
|
# The x position of bars
|
|
# r1 = np.arange(len(ucl))
|
|
# r2 = [x + barWidth for x in r1]
|
|
# r3 = [x + 2*barWidth for x in r1]
|
|
|
|
r1 = [4*i*barWidth for i in range(len(ucl))]
|
|
r2 = [4*i*barWidth+1*barWidth for i in range(len(ucl))]
|
|
r3 = [4*i*barWidth+2*barWidth for i in range(len(ucl))]
|
|
|
|
r4 = r1 + r2 + r3
|
|
|
|
# Create labels
|
|
label = bars4
|
|
|
|
# Text on the top of each bar
|
|
for i in range(len(r4)):
|
|
plt.text(x = r4[i]-0.3 , y = bars4[i]+0.1, s = label[i], size = 12, rotation=90)
|
|
|
|
|
|
# Create blue bars
|
|
plt.bar(r1, ucl, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='classic')
|
|
|
|
# Create cyan bars
|
|
plt.bar(r2, relaxed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='startwbreak')
|
|
|
|
# Create cyan bars
|
|
plt.bar(r3, diff, width = barWidth, color = 'red', edgecolor = 'black', capsize=7, label='diff')
|
|
|
|
# general layout
|
|
plt.xticks([10+ r*4*barWidth for r in range(len(ucl))], columns, rotation=30, fontsize=12)
|
|
plt.ylabel('average # of violations', fontsize=12)
|
|
plt.legend()
|
|
# plt.ylim((0,3))
|
|
plt.title("Comparison based on 100 random draws", fontsize=12)
|
|
|
|
# plt.savefig('classic_vs_sw.png', dpi=300)
|
|
# Show graphic
|
|
plt.show()
|
|
# %%
|
|
|
|
|
|
# %%
|
|
# libraries
|
|
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
|
|
# width of the bars
|
|
barWidth = 15
|
|
|
|
|
|
|
|
columns = [
|
|
# 'Overall Quality',
|
|
# 'Stadium/city clash',
|
|
'Stadium/City Clash',
|
|
'TV-pairing NA5 1st',
|
|
'TV-pairing other 1st',
|
|
'TV-pairing NA5 2nd (HA)',
|
|
'SKO (HA)',
|
|
'Weekdays (HA)',
|
|
'Balance (ENC)',
|
|
'Quality (ENC)',
|
|
'Structure',
|
|
]
|
|
|
|
|
|
|
|
|
|
# Choose the height of the blue bars
|
|
ucl = [
|
|
# 3040.22,
|
|
# 0,
|
|
# 0,
|
|
# 0,
|
|
# 0.4,
|
|
# 0,
|
|
0,
|
|
0,
|
|
0,
|
|
|
|
0.34,
|
|
0.32,
|
|
9.82,
|
|
10.71,
|
|
3.1,
|
|
0,
|
|
|
|
|
|
|
|
|
|
|
|
]
|
|
|
|
# Choose the height of the cyan bars
|
|
relaxed = [
|
|
|
|
# 2644.3,
|
|
# 0,
|
|
# 0,
|
|
# 0,
|
|
# 0.52,
|
|
# 0,
|
|
0,
|
|
0,
|
|
0,
|
|
|
|
0.51,
|
|
0.19,
|
|
9.43,
|
|
9.67,
|
|
2.91,
|
|
0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
]
|
|
|
|
|
|
print(len(columns),len(ucl),len(relaxed))
|
|
|
|
|
|
diff = [-round(ucl[i] - relaxed[i],2) for i in range(len(ucl))]
|
|
|
|
bars4 = ucl + relaxed + diff
|
|
|
|
# The x position of bars
|
|
# r1 = np.arange(len(ucl))
|
|
# r2 = [x + barWidth for x in r1]
|
|
# r3 = [x + 2*barWidth for x in r1]
|
|
|
|
r1 = [4*i*barWidth for i in range(len(ucl))]
|
|
r2 = [4*i*barWidth+1*barWidth for i in range(len(ucl))]
|
|
r3 = [4*i*barWidth+2*barWidth for i in range(len(ucl))]
|
|
|
|
r4 = r1 + r2 + r3
|
|
|
|
# Create labels
|
|
label = bars4
|
|
|
|
# Text on the top of each bar
|
|
for i in range(len(r4)):
|
|
plt.text(x = r4[i]-0.3 , y = bars4[i]+0.1, s = label[i], size = 12, rotation=90)
|
|
|
|
|
|
# Create blue bars
|
|
plt.bar(r1, ucl, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='startwbreak')
|
|
|
|
# Create cyan bars
|
|
plt.bar(r2, relaxed, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='3breaks')
|
|
|
|
# Create cyan bars
|
|
plt.bar(r3, diff, width = barWidth, color = 'red', edgecolor = 'black', capsize=7, label='diff')
|
|
|
|
# general layout
|
|
plt.xticks([10+ r*4*barWidth for r in range(len(ucl))], columns, rotation=30, fontsize=12)
|
|
plt.ylabel('average # of violations', fontsize=12)
|
|
plt.legend()
|
|
# plt.ylim((0,3))
|
|
plt.title("Comparison based on 100 random draws", fontsize=12)
|
|
# plt.savefig('sw_vs_3.png', dpi=300)
|
|
|
|
# Show graphic
|
|
plt.show()
|
|
# %% |