2019-05-16 12:32:08 +02:00
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import pandas as pd
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from matplotlib.ticker import MaxNLocator
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data = pd.read_csv('./s407259-matrics-data/historical_wer_mean.txt', header=None)
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plot = data.tail(50).plot()
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plot.xaxis.set_major_locator(MaxNLocator(integer=True))
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plot.get_legend().remove()
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2019-05-16 12:49:19 +02:00
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plot.set_xlabel('sample')
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plot.set_ylabel('wer')
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2019-05-16 12:32:08 +02:00
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plot.get_figure().savefig('./historical_wer_mean_plot')
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data = pd.read_csv('./s407259-matrics-data/historical_srr.txt', header=None)
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plot = data.tail(50).plot()
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plot.xaxis.set_major_locator(MaxNLocator(integer=True))
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plot.get_legend().remove()
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2019-05-16 12:49:19 +02:00
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plot.set_xlabel('sample')
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plot.set_ylabel('srr')
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2019-05-16 12:32:08 +02:00
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plot.get_figure().savefig('./historical_srr_plot')
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