回答編集履歴
3
修正
answer
CHANGED
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@@ -5,7 +5,7 @@
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5
5
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import pandas as pd
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6
6
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7
7
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with open("sample.txt") as f:
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8
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-
text = f.read().replace("\n", "")
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8
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+
text = f.read().replace("\n", "").replace(" ", "")
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9
9
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10
10
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n = 3
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11
11
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s = pd.Series(map(int, text))
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2
修正
answer
CHANGED
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@@ -6,7 +6,8 @@
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6
6
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7
7
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with open("sample.txt") as f:
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8
8
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text = f.read().replace("\n", "")
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9
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+
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9
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-
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10
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+
n = 3
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10
11
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s = pd.Series(map(int, text))
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11
12
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max_val = s.rolling(n).apply(lambda x: x.prod()).max()
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12
13
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print(max_val) # 648.0
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1
修正
answer
CHANGED
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@@ -5,13 +5,15 @@
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5
5
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import pandas as pd
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6
6
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7
7
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with open("sample.txt") as f:
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8
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-
text = f.read()
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8
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+
text = f.read().replace("\n", "")
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9
9
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10
10
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s = pd.Series(map(int, text))
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11
11
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max_val = s.rolling(n).apply(lambda x: x.prod()).max()
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12
12
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print(max_val) # 648.0
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13
13
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```
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14
14
|
|
|
15
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+
----
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|
16
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+
|
|
15
17
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例えば、`7316717653` で窓の大きさを n = 3 としたとき、各位置での対象の値とその総乗は以下になります。
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16
18
|
|
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17
19
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[7.0, 3.0, 1.0] -> 21
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