Python pandas – filter rows after groupby
You just need to use apply on the groupby object. I modified your example data to make this a little more clear: Which prints:
You just need to use apply on the groupby object. I modified your example data to make this a little more clear: Which prints:
Yes, this is a common aggregation problem. Before SQL3 (1999), the selected fields must appear in the GROUP BY clause[*]. To workaround this issue, you must calculate the aggregate in a sub-query and then join it with itself to get the additional columns you’d need to show: But you may also use window functions, which looks simpler: The … Read more
Well the problem simply-put is that the SUM(TIME) for a specific SSN on your query is a single value, so it’s objecting to MAX as it makes no sense (The maximum of a single value is meaningless). Not sure what SQL database server you’re using but I suspect you want a query more like this … Read more
I believe this is what you want: Example:
Do it in 2 steps. First, create a dictionary. Then, convert that dictionary into the expected format. It is also possible with itertools.groupby but it requires the input to be sorted first. Note both of these do not respect the original order of the keys. You need an OrderedDict if you need to keep the … Read more
Use GroupBy.sum:
Group By X means put all those with the same value for X in the one group. Group By X, Y means put all those with the same values for both X and Y in the one group. To illustrate using an example, let’s say we have the following table, to do with who is attending what subject at … Read more
You need nunique: If you need to strip ‘ characters: Or as Jon Clements commented: You can retain the column name like this: The difference is that nunique() returns a Series and agg() returns a DataFrame.
Use GroupBy.sum:
Group By X means put all those with the same value for X in the one group. Group By X, Y means put all those with the same values for both X and Y in the one group. To illustrate using an example, let’s say we have the following table, to do with who is attending what subject at … Read more