我在實驗中得到了數據：? ? import matplotlib.pyplot as plt? ??? ? x = [22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50]? ? y_NaOH = [94.2, 146.2, 222.2, 276.2, 336.2, 372.2, 428.2, 542.2, 576.2, 684.2, 766.2, 848.2, 904.2, 1042.2, 1136.2]? ? y_NaHCO3 = [232.0, 308.0, 322.0, 374.0, 436.0, 494.0, 592.0, 660.0, 704.0, 824.0, 900.0, 958.0, 1048.0, 1138.0, 1232.0]? ? y_BaOH2 = [493.1, 533.1, 549.1, 607.1, 665.1, 731.1, 797.1, 867.1, 971.1, 1007.1, 1091.1, 1221.1, 1311.1, 1371.1, 1497.1, ]? ??? ? plt.plot(x, y_NaOH)? ? plt.plot(x, y_NaHCO3)? ? plt.plot(x, y_BaOH2)? ? plt.show()但是，我在標記異常值時遇到了困難，這是我嘗試過的：? ? import matplotlib.pyplot as plt? ? import statistics? ??? ? x = [22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50]? ? y_NaOH = [94.2, 146.2, 222.2, 276.2, 336.2, 372.2, 428.2, 542.2, 576.2, 684.2, 766.2, 848.2, 904.2, 1042.2, 1136.2]? ? y_NaHCO3 = [232.0, 308.0, 322.0, 374.0, 436.0, 494.0, 592.0, 660.0, 704.0, 824.0, 900.0, 958.0, 1048.0, 1138.0, 1232.0]? ? y_BaOH2 = [493.1, 533.1, 549.1, 607.1, 665.1, 731.1, 797.1, 867.1, 971.1, 1007.1, 1091.1, 1221.1, 1311.1, 1371.1, 1497.1, ]? ??? ? # plt.plot(x, y_NaOH)? ? # plt.plot(x, y_NaHCO3)? ? # plt.plot(x, y_BaOH2)? ? # plt.show()? ??? ??? ? def detect_outlier(data_1):? ? ? ? threshold = 1? ? ? ? mean_1 = statistics.mean(data_1)? ? ? ? std_1 = statistics.stdev(data_1)? ? ? ? result_dataset = [y? for y in data_1 if abs((y - mean_1)/std_1)<=threshold ]? ??? ? ? ? return result_dataset? ??? ??? ? if __name__=="__main__":? ? ? ? dataset = y_NaHCO3? ? ? ? result_dataset = detect_outlier(dataset)? ? ? ? print(result_dataset)? ? ? ? # [374.0, 436.0, 494.0, 592.0, 660.0, 704.0, 824.0, 900.0, 958.0]錯誤的是，這種方法總是過濾掉我的數據的邊緣值，實際上我試圖刪除不適合曲線的點。另外，我可以手動觀察曲線的形狀并標記異常值，但這確實花費了很多時間。我將非常感謝您的幫助。
1 回答
炎炎設計
TA貢獻1808條經驗 獲得超4個贊
有很多用于數據科學的 GitHub 存儲庫，您所要做的就是完成git 安裝
用于使用outliers.py
? from outliers.variance import graph
? ??
? ? x = [22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50]
? ? y_NaOH = [94.2, 146.2, 222.2, 276.2, 336.2, 372.2, 428.2, 542.2, 576.2, 684.2, 766.2, 848.2, 904.2, 1042.2, 1136.2]
? ? y_NaHCO3 = [232.0, 308.0, 322.0, 374.0, 436.0, 494.0, 592.0, 660.0, 704.0, 824.0, 900.0, 958.0, 1048.0, 1138.0, 1232.0]
? ? y_BaOH2 = [493.1, 533.1, 549.1, 607.1, 665.1, 731.1, 797.1, 867.1, 971.1, 1007.1, 1091.1, 1221.1, 1311.1, 1371.1, 1497.1, ]
? ??
? ? graph(
? ? ? ? xs=x,
? ? ? ? ys=[y_NaOH, y_NaHCO3, y_BaOH2],
? ? ? ? title='title',
? ? ? ? legends=[f'legend {i + 1}' for i in range(len(x))],
? ? ? ? xlabel='xlabel',
? ? ? ? ylabel='ylabel',
? ? )
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