Question

我想将以下命令应用于数据组，其中组的数量符合最低计数标准。

db=table.groupby(['Type','Quarter'])["Price"].mean()

到目前为止，以下示例并未返回所需的结果。

db=table.groupby(['Type','Quarter']).filter(lambda group: group.size > 3).groupby(['Type','Quarter'])["SALE_PRC"].mean()

基本上我想找到（[＆＃39; Type＆＃39;，＆＃39; Quarter＆＃39;]）群组的[＆＃34; Price＆＃34;]的平均值但仅限于记录数超过3个。

感谢任何帮助。谢谢

Answer 1

public async Task MyMethodAsync() { Task<int> longRunningTask = LongRunningOperationAsync(); // independent work which doesn't need the result of LongRunningOperationAsync can be done here //and now we call await on the task int result = await longRunningTask; //use the result Console.WriteLine(result); } public async Task<int> LongRunningOperationAsync() // assume we return an int from this long running operation { await Task.Delay(1000); // 1 second delay return 1; }的大小需要len(group)：

groups

或使用transform：

db=table.groupby(['Type','Quarter'])
        .filter(lambda group: len(group) > 3)
        .groupby(['Type','Quarter'])["Price"]
        .mean()

Python pandas数据集组的意思是按条件

1 个答案: