使用abs處裡負值無效
1.我使用df_fixed['Fare']=abs(df_fixed['Fare']),處理負值為什麼沒用?
2.使用df_fixed['Fare'].unique(),看裡面的值並沒有負值?,只有0 ,是因為0的關係嗎?
array([ 7.25 , 71.2833, 7.925 , 53.1 , 8.05 , 8.4583,
51.8625, 21.075 , 11.1333, 30.0708, 16.7 , 26.55 ,
31.275 , 7.8542, 16. , 29.125 , 13. , 18. ,
7.225 , 26. , 8.0292, 35.5 , 31.3875, 263. ,
7.8792, 7.8958, 27.7208, 146.5208, 7.75 , 10.5 ,
82.1708, 52. , 7.2292, 11.2417, 9.475 , 21. ,
41.5792, 15.5 , 21.6792, 17.8 , 39.6875, 7.8 ,
76.7292, 61.9792, 27.75 , 46.9 , 80. , 83.475 ,
27.9 , 15.2458, 8.1583, 8.6625, 73.5 , 14.4542,
56.4958, 7.65 , 29. , 12.475 , 9. , 9.5 ,
7.7875, 47.1 , 15.85 , 34.375 , 61.175 , 20.575 ,
34.6542, 63.3583, 23. , 77.2875, 8.6542, 7.775 ,
24.15 , 9.825 , 14.4583, 247.5208, 7.1417, 22.3583,
6.975 , 7.05 , 14.5 , 15.0458, 26.2833, 9.2167,
79.2 , 6.75 , 11.5 , 36.75 , 7.7958, 12.525 ,
66.6 , 7.3125, 61.3792, 7.7333, 69.55 , 16.1 ,
15.75 , 20.525 , 55. , 25.925 , 33.5 , 30.6958,
25.4667, 28.7125, 0. , 15.05 , 39. , 22.025 ,
50. , 8.4042, 6.4958, 10.4625, 18.7875, 31. ,
113.275 , 27. , 76.2917, 90. , 9.35 , 13.5 ,
7.55 , 26.25 , 12.275 , 7.125 , 52.5542, 20.2125,
86.5 , 512.3292, 79.65 , 153.4625, 135.6333, 19.5 ,
29.7 , 77.9583, 20.25 , 78.85 , 91.0792, 12.875 ,
8.85 , 151.55 , 30.5 , 23.25 , 12.35 , 110.8833,
108.9 , 24. , 56.9292, 83.1583, 262.375 , 14. ,
164.8667, 134.5 , 6.2375, 57.9792, 28.5 , 133.65 ,
15.9 , 9.225 , 35. , 75.25 , 69.3 , 55.4417,
211.5 , 4.0125, 227.525 , 15.7417, 7.7292, 12. ,
120. , 12.65 , 18.75 , 6.8583, 32.5 , 7.875 ,
14.4 , 55.9 , 8.1125, 81.8583, 19.2583, 19.9667,
89.1042, 38.5 , 7.725 , 13.7917, 9.8375, 7.0458,
7.5208, 12.2875, 9.5875, 49.5042, 78.2667, 15.1 ,
7.6292, 22.525 , 26.2875, 59.4 , 7.4958, 34.0208,
93.5 , 221.7792, 106.425 , 49.5 , 71. , 13.8625,
7.8292, 39.6 , 17.4 , 51.4792, 26.3875, 30. ,
40.125 , 8.7125, 15. , 33. , 42.4 , 15.55 ,
65. , 32.3208, 7.0542, 8.4333, 25.5875, 9.8417,
8.1375, 10.1708, 211.3375, 57. , 13.4167, 7.7417,
9.4833, 7.7375, 8.3625, 23.45 , 25.9292, 8.6833,
8.5167, 7.8875, 37.0042, 6.45 , 6.95 , 8.3 ,
6.4375, 39.4 , 14.1083, 13.8583, 50.4958, 5. ,
9.8458, 10.5167, 7. , 9.6875, 82.2667, 3.1708,
31.6833, 31.5 , 57.75 , 7.85 , 60. , 15.0333,
15.5792, 28.5375, 25.7 , 10.7083, 13.9 , 7.8208,
7.7792, 31.6792, 7.2833, 75.2417, 12.1833, 13.775 ,
8.9625, 25.7417, 42.5 , 27.4458, 136.7792, 9.325 ,
12.7375, 45.5 , 7.575 , 7.5792, 7.7208])
回答列表
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2019/09/24 上午 10:23張維元 (WeiYuan)贊同數：0不贊同數：0留言數：0
是的，這邊可以再把 df_fixed['Fare'] + 1 試試看！