回答編集履歴
2
修正
test
CHANGED
@@ -16,4 +16,6 @@
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df.to_csv("output.csv")
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print(df)
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20
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```
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1
修正
test
CHANGED
@@ -1,91 +1,19 @@
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1
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1列目が日付だと仮定すると、read_csv() で読み込んだあとに `df[
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1列目が日付だと仮定すると、read_csv() で読み込んだあとに `df[0] <= 日付を表す文字列` が成り立つ行は40、そうでない行は20を numpy.where() で代入すればよいです。
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```python
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import numpy as np
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import pandas as pd
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s
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df = pd.read_csv("sample.csv", header=None, parse_dates=[0])
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e
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df[2] = np.where(df[0] <= "2020-06-20T14:17:34", 40, 20)
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df
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df.to_csv("output.csv")
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print(df)
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```
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csv のサンプル
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```
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2020-10-30,29
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```
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