回答編集履歴
1
加工前データからの加工方法を追記
test
CHANGED
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@@ -57,3 +57,77 @@
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2 9020 2021-09-24 06:15:00 7136.0
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```
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追記
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まず、加工前のデータを以下の形に加工してください。
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66
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```python
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indata = {9983:{'timestamp': [1632464100000], 'open': [77150.0], 'high': [77340.0], 'low': [76530.0], 'close': [77100.0], 'volume': [521000]},
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7203:{'timestamp': [1632464101000], 'open': [9985.0], 'high': [10100.0], 'low': [9973.0], 'close': [10100.0], 'volume': [6981600]},
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9020:{'timestamp': [1632464100000], 'open': [7158.0], 'high': [7162.0], 'low': [7088.0], 'close': [7136.0], 'volume': [1808400]}}
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```
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77
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そのあと、以下のように加工します。
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```python
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df = pd.DataFrame(indata).T
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result = pd.DataFrame(df['timestamp'].apply(lambda ts: datetime.utcfromtimestamp(ts[0]//1000)))
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result['close'] = df['close'].apply(lambda x: x[0])
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result.index.name = 'code'
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```
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これを実行すると以下のデータフレームになります。
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```python
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>>> print(df)
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timestamp open high low close volume
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code
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9983 [1632464100000] [77150.0] [77340.0] [76530.0] [77100.0] [521000]
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7203 [1632464101000] [9985.0] [10100.0] [9973.0] [10100.0] [6981600]
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9020 [1632464100000] [7158.0] [7162.0] [7088.0] [7136.0] [1808400]>>> print(result)
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timestamp close
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code
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9983 2021-09-24 06:15:00 77100.0
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7203 2021-09-24 06:15:01 10100.0
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9020 2021-09-24 06:15:00 7136.0
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```
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codeがindexですが、columnにしたいならreset_indexします。
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```python
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>>> print(result.reset_index())
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code timestamp close
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0 9983 2021-09-24 06:15:00 77100.0
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1 7203 2021-09-24 06:15:01 10100.0
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2 9020 2021-09-24 06:15:00 7136.0
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```
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