Bypassing Aggregate Root
Is it okay to get a read-only collection from an aggregate without going through the root to get it? My model does some of this right now and I was wondering if that’s an acceptable design. Thanks
aggregate
Get queryset objects grouped by an annotation value range
I need to filter my objects in a way to get them grouped by range (range is fixed, for this case let’s say we have these 3 ranges [0.0, 33.0] [33.01, 66.0] [66.01, 100.0]
How to group dataframe rows into list in pandas groupby
I have a pandas data frame df like:
How do I Pandas group-by to get sum?
I am using this data frame:
Multiple aggregations of the same column using pandas GroupBy.agg()
Is there a pandas built-in way to apply two different aggregating functions f1, f2 to the same column df["returns"], without having to call agg() multiple times?
Keep other columns when doing groupby
I’m using groupby on a pandas dataframe to drop all rows that don’t have the minimum of a specific column. Something like this:
Pandas sum by groupby, but exclude certain columns
What is the best way to do a groupby on a Pandas dataframe, but exclude some columns from that groupby? e.g. I have the following dataframe:
Rename result columns from Pandas aggregation (“FutureWarning: using a dict with renaming is deprecated”)
I’m trying to do some aggregations on a pandas data frame. Here is a sample code: