質問編集履歴
3
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@@ -84,7 +84,7 @@
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power_nor= mm.fit_transform(power) # 正規化
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power_s = power_nor*10 # Maxを10に変更
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# Select player
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power_s1 =
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power_s1 = power_s["Player1"]
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labels = ["POWER","Score2","Score3", "Score4","Score5"]
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values = [power_s1, 6, 7, 8,4] #※ほかの値は確認用のサンプル。途中です。
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2
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@@ -85,26 +85,6 @@
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power_s = power_nor*10 # Maxを10に変更
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# Select player
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power_s1 = dfx["Player1"]
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88
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if power_s>=90:
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89
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power_s1=10
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90
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elif power_s>=80:
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91
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power_s1=9
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92
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elif power_s>=70:
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93
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power_s1=8
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elif power_s>=60:
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95
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power_s1=7
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96
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elif power_s>=50:
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97
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power_s1=6
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elif power_s>=40:
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power_s1=5
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elif power_s>=30:
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101
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power_s1=4
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102
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elif power_s>=20:
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103
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power_s1=3
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104
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elif power_s>=10:
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105
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power_s1=2
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106
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else:
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107
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power_s1=1
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labels = ["POWER","Score2","Score3", "Score4","Score5"]
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values = [power_s1, 6, 7, 8,4] #※ほかの値は確認用のサンプル。途中です。
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1
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@@ -76,7 +76,7 @@
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dfx.columns = [" ".join(pair) for pair in dfx.columns]
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# Define indicators
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-
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# 正規化
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from sklearn import preprocessing
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# POWER
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power = dfx["Speed 90th"]
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@@ -104,7 +104,7 @@
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elif power_s>=10:
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power_s1=2
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else:
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107
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power_s1=1
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107
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power_s1=1
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labels = ["POWER","Score2","Score3", "Score4","Score5"]
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values = [power_s1, 6, 7, 8,4] #※ほかの値は確認用のサンプル。途中です。
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