I have the following Pandas dataframe df containing minute interval stock price data: High Low Timestamp 2020-01-02 04:01:00 295.08 295.05 2020-01-02 04:07:00 295.59 295.35 2020-01-02 04:09:00 295.55 29...

我有以下数据： from datetime import date, timedelta import pandas as pd import numpy as np sdate = date(2019,1,1) # start date edate = date(2019,1,7) # end date -6days required_dates = pd.date_range(sdate,edate-timedelta(days=1),freq='d') # initialize list o...

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我有以下数据框： df = pd.DataFrame({ 'cluster': ['A','B','C','A','B','C','D','D'], 'profit': [-1.0,1.5,1,0.5,3.0,-2,-1, -2] }) 在输出到另一个数据帧之前，我将执行一系列按操作分组的操作，其中大部分我必须开始工作。 df['cluster_total_profit'] = df.groupby(['cluster'])['profit'].transform('sum') ...

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