76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
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import matplotlib.lines as lines
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import matplotlib.pyplot as plt
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import numpy as np
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def tukeyplot(results, dim=None, yticklabels=None):
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npairs = len(results)
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fig = plt.figure()
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fsp = fig.add_subplot(111)
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fsp.axis([-50,50,0.5,10.5])
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fsp.set_title('95 % family-wise confidence level')
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fsp.title.set_y(1.025)
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fsp.set_yticks(np.arange(1,11))
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fsp.set_yticklabels(['V-T','V-S','T-S','V-P','T-P','S-P','V-M',
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'T-M','S-M','P-M'])
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#fsp.yaxis.set_major_locator(mticker.MaxNLocator(npairs))
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fsp.yaxis.grid(True, linestyle='-', color='gray')
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fsp.set_xlabel('Differences in mean levels of Var', labelpad=8)
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fsp.xaxis.tick_bottom()
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fsp.yaxis.tick_left()
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xticklines = fsp.get_xticklines()
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for xtickline in xticklines:
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xtickline.set_marker(lines.TICKDOWN)
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xtickline.set_markersize(10)
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xlabels = fsp.get_xticklabels()
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for xlabel in xlabels:
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xlabel.set_y(-.04)
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yticklines = fsp.get_yticklines()
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for ytickline in yticklines:
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ytickline.set_marker(lines.TICKLEFT)
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ytickline.set_markersize(10)
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ylabels = fsp.get_yticklabels()
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for ylabel in ylabels:
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ylabel.set_x(-.04)
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for pair in range(npairs):
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data = .5+results[pair]/100.
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#fsp.axhline(y=npairs-pair, xmin=data[0], xmax=data[1], linewidth=1.25,
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fsp.axhline(y=npairs-pair, xmin=data.mean(), xmax=data[1], linewidth=1.25,
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color='blue', marker="|", markevery=1)
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fsp.axhline(y=npairs-pair, xmin=data[0], xmax=data.mean(), linewidth=1.25,
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color='blue', marker="|", markevery=1)
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#for pair in range(npairs):
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# data = .5+results[pair]/100.
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# data = results[pair]
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# data = np.r_[data[0],data.mean(),data[1]]
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# l = plt.plot(data, [npairs-pair]*len(data), color='black',
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# linewidth=.5, marker="|", markevery=1)
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fsp.axvline(x=0, linestyle="--", color='black')
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fig.subplots_adjust(bottom=.125)
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results = np.array([[-10.04391794, 26.34391794],
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[-21.45225794, 14.93557794],
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[ 5.61441206, 42.00224794],
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[-13.40225794, 22.98557794],
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[-29.60225794, 6.78557794],
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[ -2.53558794, 33.85224794],
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[-21.55225794, 14.83557794],
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[ 8.87275206, 45.26058794],
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[-10.14391794, 26.24391794],
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[-37.21058794, -0.82275206]])
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#plt.show()
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