如何从数据框中删除一本字典

我相信你需要然后过滤：transform sizeboolean indexing

df = pd.concat([dfs])
df = df[df.groupby('appId')['appId'].transform('size') >= 30]
#alternative 1
#df = df[df.groupby('appId')['appId'].transform('size').ge(30)]
#alternative 2 (slowier in large data)
#df = df.groupby('appId').filter(lambda x: len(x) >= 30)

另一种方法是 filter dictionary：

dfs = {k: v for k, v in dfs.items() if len(v) >= 30}

编辑：

 timeseries = timeseries[timeseries.groupby('appId')['appId'].transform('size') >= 30] 
 dfs = dict(tuple(timeseries.groupby('appId')))