给出以下数据集作为pandas dataframe df:
index(as DateTime object) | Name | Amount | IncomeOutcome
---------------------------------------------------------------
2019-01-28 | Customer1 | 200.0 | Income
2019-01-31 | Customer1 | 200.0 | Income
2019-01-31 | Customer2 | 100.0 | Income
2019-01-28 | Customer2 | -100.0 | Outcome
2019-01-31 | Customer2 | -100.0 | Outcome
我们执行以下步骤:
grouped = df.groupby("Name", "IncomeOutcome")
sampled_by_month = grouped.resample("M")
aggregated = sampled_by_month.agg({"MonthlyCount": "size", "Amount": "sum"})
所需的输出应如下所示:
Name | IncomeOutcome | Amount | MonthlyCount
------------------------------------------------------------
Customer1 | Income | 400.0 | 2
Customer2 | …