vault backup: 2024-03-16 18:44:23
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@@ -2,7 +2,7 @@
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aliases:
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aliases:
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atlas: "[[Atlas/Card|Card]]"
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atlas: "[[Atlas/Card|Card]]"
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created: 2024-03-15 21:36:51
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created: 2024-03-15 21:36:51
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modified: 2024-03-15 21:55:16
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modified: 2024-03-16 18:39:20
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tags:
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tags:
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title: 数据处理过程
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title: 数据处理过程
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---
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---
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@@ -265,10 +265,7 @@ data['日期'] = pd.to_datetime(data['日期'])
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# Add a 'YearMonth' column for easier analysis
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# Add a 'YearMonth' column for easier analysis
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data['YearMonth'] = data['日期'].dt.to_period('M')
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data['YearMonth'] = data['日期'].dt.to_period('M')
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# Group data by 'YearMonth'
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grouped = data.groupby('YearMonth')
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# Assuming 'data' is your DataFrame and '支付方式' is the column for Payment Methods
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# Assuming 'data' is your DataFrame and '支付方式' is the column for Payment Methods
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data['Payment Category'] = data['支付方式'].apply(lambda x: '挂账' if '挂账' in str(x).lower() else '现付')
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data['Payment Category'] = data['支付方式'].apply(lambda x: '挂账' if '挂账' in str(x).lower() else '现付')
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