回答編集履歴
2
Update
test
CHANGED
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@@ -25,8 +25,7 @@
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25
25
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#
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grp = df.query('citycode == "001(千代田区)"').groupby('id', group_keys=False)\
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.apply(lambda x: x.index.to_series().diff().ne(1).cumsum())
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28
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-
df['diff'] = df.groupby(['id', grp])['Timestamp']
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28
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+
df['diff'] = df.groupby(['id', grp])['Timestamp'].diff().dt.seconds.fillna(0) / 60.0
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-
.apply(lambda x: x.diff().dt.seconds.fillna(0) / 60.0)
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df['diff'] = df['diff'].fillna(0)
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df = df.groupby('id').apply(lambda x: x.assign(diff_sum = x['diff'].sum()))
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31
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1
Update
test
CHANGED
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@@ -1,4 +1,3 @@
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1
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-
※ BB4 の結果がイメージと異なっています。確認してみて下さい。
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2
1
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```python
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3
2
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import pandas as pd
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import io
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@@ -24,7 +23,8 @@
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df = pd.read_csv(io.StringIO(csv_data), parse_dates=['Timestamp'])
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#
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27
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-
grp = df.query('citycode == "001(千代田区)"').groupby('id'
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26
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+
grp = df.query('citycode == "001(千代田区)"').groupby('id', group_keys=False)\
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.apply(lambda x: x.index.to_series().diff().ne(1).cumsum())
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df['diff'] = df.groupby(['id', grp])['Timestamp']\
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.apply(lambda x: x.diff().dt.seconds.fillna(0) / 60.0)
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df['diff'] = df['diff'].fillna(0)
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@@ -42,10 +42,10 @@
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| 4 | A1 | 2022-06-10 15:41:00 | 001(千代田区) | 97 | 112 |
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| 5 | A1 | 2022-06-10 16:24:00 | 005(渋谷区) | 0 | 112 |
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| 6 | A1 | 2022-06-10 19:54:00 | 001(千代田区) | 0 | 112 |
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45
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-
| 7 | BB4 | 2022-06-11 06:06:00 | 001(千代田区) | 0 |
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45
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+
| 7 | BB4 | 2022-06-11 06:06:00 | 001(千代田区) | 0 | 708 |
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46
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-
| 8 | BB4 | 2022-06-11 07:58:00 | 006(目黒区) | 0 |
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+
| 8 | BB4 | 2022-06-11 07:58:00 | 006(目黒区) | 0 | 708 |
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| 9 | BB4 | 2022-06-11 08:37:00 | 001(千代田区) |
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+
| 9 | BB4 | 2022-06-11 08:37:00 | 001(千代田区) | 0 | 708 |
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| 10 | BB4 | 2022-06-11 17:50:00 | 001(千代田区) |
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+
| 10 | BB4 | 2022-06-11 17:50:00 | 001(千代田区) | 553 | 708 |
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-
| 11 | BB4 | 2022-06-11 20:25:00 | 001(千代田区) | 155 |
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+
| 11 | BB4 | 2022-06-11 20:25:00 | 001(千代田区) | 155 | 708 |
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-
| 12 | BB4 | 2022-06-11 22:33:00 | 006(目黒区) | 0 |
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+
| 12 | BB4 | 2022-06-11 22:33:00 | 006(目黒区) | 0 | 708 |
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