aggregate Questions
2
Solved
I'm hoping someone can help explain the law of demeter to me. If I have a class which I'm assuming is an aggregate root and within that have a collection of child classes is it illegal to update th...
Gao asked 10/4, 2014 at 22:18
7
Solved
I have the following data frame
x <- read.table(text = " id1 id2 val1 val2
1 a x 1 9
2 a x 2 4
3 a y 3 5
4 a y 4 9
5 b x 1 7
6 b y 4 4
7 b x 3 9
8 b y 2 8", header = TRUE)
I want to calculate...
2
Solved
Is it possible to put GROUP_CONCAT in a MYSQL WHERE clause?
I have two tables (one for members and one for payment info). For example
Members Table
num, memNumber, fullName, coporateName, surna...
2
Solved
I have a pandas data frame with a column 'id' and a column 'value'. It is already sorted by first id (ascending) and then value (descending). What I need is the top 10 values per id.
I assumed th...
Hague asked 16/10, 2015 at 10:36
2
Solved
I have used aggregate function.
db.checkins.aggregate([
{$match: {checkinType: "Beacon",
"associationIds.organizationId":"af39bc69-1938-4149",
"checkinData.time": {"$gte": new Date("2018-01-18T...
3
Solved
I need to use group by in levels with ddply or aggregate if that's easier. I am not really sure how to do this as I need to use cumsum as my aggregate function. This is what my data looks like:
le...
8
Solved
I wish to (1) group data by one variable (State), (2) within each group find the row of minimum value of another variable (Employees), and (3) extract the entire row.
(1) and (2) are easy one-line...
Independency asked 5/6, 2014 at 21:45
2
Solved
I have a collection in a MongoDB that contains a field "events" which is an array. I need to write an aggregate query for this that checks for the events array to not be empty, but can't ...
1
Solved
How do I consolidate/reduce a DataFrame so that it merges rows by custom column 'id' and puts values into a list if they are not Nan. So far I came up with this but it doesn't remove Nans:
x: pd.Da...
Mcshane asked 10/1, 2022 at 9:55
3
Solved
I have documents that contains a tags fields. It's a simple array with tag names inside, no object nor _id inside.
Just plain tags like this ["Protocol", "Access", "Leverage", "Capability"].
And i...
Turbosupercharger asked 16/11, 2017 at 15:1
1
Solved
I'm new to Kusto/KQL but experienced in T-SQL. I am trying to get a list of exceptions, group them by type, add a count, and order by that count descending.
In SQL it would be:
SELECT Type, COUNT(T...
Proficiency asked 15/12, 2021 at 10:18
0
I am trying to implement multiple inheritance with Partitioned model and Aggregate Model
class AdAgencyLocationPurposeAggregate(PostgresAggregateModel,PostgresPartitionedModel):
PostgresAggregateMo...
Reimport asked 15/12, 2021 at 8:53
1
Solved
The code as follows
struct B {
~B() = delete;
};
B * b = new B{};
fails to compile in the latest MSVC with the error:
error C2512: 'B': no appropriate default constructor available
note: Invalid...
Husserl asked 11/12, 2021 at 10:17
10
Solved
Im looking for something like SELECT PRODUCT(table.price) FROM table GROUP BY table.sale similar to how SUM works.
Have I missed something on the documentation, or is there really no PRODUCT funct...
4
Solved
I have a dataframe that looks like this:
D X Y Z
A 22 16 23
A 21 16 22
A 20 17 21
B 33 50 11
B 34 53 12
B 34 55 13
C 44 34 11
C 45 33 11
C 45 33 10
D 55 35 60
D 57 34 61
E 66 36 13
E 67 38 14
E 67...
10
Solved
This is in response to a question asked on the r-help mailing list.
Here are lots of examples of how to find top values by group using sql, so I imagine it's easy to convert that knowledge over us...
7
Solved
i'm recieving the following error:
Error 1 [rsInvalidAggregateScope] The Value expression for the text box
‘Textbox2’ has a scope parameter that is not valid for an aggregate function.
The scope...
Berate asked 4/2, 2014 at 12:7
11
Solved
def stack_plot(data, xtick, col2='project_is_approved', col3='total'):
ind = np.arange(data.shape[0])
plt.figure(figsize=(20,5))
p1 = plt.bar(ind, data[col3].values)
p2 = plt.bar(ind, data[col...
4
Solved
I have a table containing a series of entries which relate to time periods (specifically, time worked for a client):
task_time:
id | start_time | end_time | client (fk)
1 08/12/2011 14:48 08/12/20...
Karlise asked 8/12, 2011 at 14:58
1
Solved
Please consider the following example with an aggregate struct B with the field of type U. The field's destructor is private, but available to the aggregate due to friend declaration, and not avail...
Hollander asked 6/8, 2021 at 16:55
4
Solved
I have a dataframe consisting of an ID, that is the same for each element in a group, two datetimes and the time interval between these two. One of the datetime objects is my relevant time marker. ...
6
Solved
I've frequented used pandas' agg() function to run summary statistics on every column of a data.frame. For example, here's how you would produce the mean and standard deviation:
df = pd.DataFrame(...
5
Solved
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:
df1 = df.groupby("item", as_index=False)["diff&q...
2
Solved
I’m trying to create multiple aggregations of the same field. I’m working in pandas, in python3.7. The syntax seems pretty straightforward based on the documentation:
https://pandas-docs.github.io...
Trouvaille asked 29/6, 2019 at 23:56
1
I use the following simple query to search across documents in my Elastic index:
{
"query": { "query_string": { "query": "*test*" } },
"aggregations": {
"myaggregation": {
"terms": { "field": ...
Mandola asked 24/6, 2015 at 14:59
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