回答編集履歴
2
Update
test
CHANGED
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@@ -13,15 +13,16 @@
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13
13
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14
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#
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15
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cols = ['a', 'b', 'c']
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+
tags = ['pre', 'post']
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+
col_prefix = [{c: f'{t}_' + c for c in cols} for t in tags]
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result = (
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17
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-
df.groupby(['day', 'id'], sort=False)
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+
df.groupby(['day', 'id'], sort=False)
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-
.apply(lambda x: pd.concat(
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.apply(lambda x: pd.concat(
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-
x.loc[x['pre_post']==
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21
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x.loc[x['pre_post'] == t, cols].iloc[0].rename(col_prefix[i])
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-
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for i, t in enumerate(tags)))
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-
.reset_index())
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.reset_index())
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print(result)
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-
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#
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day id pre_a pre_b pre_c post_a post_b post_c
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0 2022-01-01 00:00:00 1234 1 2 3 4 5 6
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1
Update
test
CHANGED
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@@ -9,9 +9,9 @@
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9
9
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2022-01-15 00:00:00,5678,pre,7,8,9
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10
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2022-01-15 00:00:00,5678,post,10,11,12
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'''
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-
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df = pd.read_csv(io.StringIO(csv_data))
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+
#
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cols = ['a', 'b', 'c']
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result = (
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df.groupby(['day', 'id'], sort=False)
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