aggregate Questions
2
Solved
I need to combine texts by group. I found a function called STRING_AGG.
select c.id
, c.bereichsname
, STRING_AGG(j.oberbereich,',') oberBereiches
from stellenangebote_archiv as j
join bereiche as...
Sherry asked 19/9, 2022 at 11:55
2
Solved
In C++20, aggregates can have no user-declared or inherited constructors (so you can't declare them deleted).
So is there a way have a struct still be an aggregate, but non-copyable?
5
Solved
Is it possible to include two functions within a single tapply or aggregate statement?
Below I use two tapply statements and two aggregate statements: one for mean and one for SD.
I would prefer t...
2
Solved
Why can't I use an offset when rolling a multi-index DataFrame? For example, with:
rng = pd.date_range('2017-01-03', periods=20, freq='8D')
i = pd.MultiIndex.from_product([['A','B','C'], rng], nam...
Quadrivalent asked 23/2, 2018 at 21:12
1
My visual's x-axis is Date, aggregated by month, and the y-axis is total sales (sum of costs). For some months, I had no sales, but Quicksight ignores these and only shows me the months that do hav...
Shaky asked 8/8, 2019 at 18:27
4
Solved
I am trying to get sum, mean and count of a metric
df.groupby(['id', 'pushid']).agg({"sess_length": [ np.sum, np.mean, np.count]})
But I get "module 'numpy' has no attribute 'count'", and I have...
4
Solved
aggregrated_table = df_input.groupBy('city', 'income_bracket') \
.agg(
count('suburb').alias('suburb'),
sum('population').alias('population'),
sum('gross_income').alias('gross_income'),
sum('...
6
Solved
I want to aggregate one column in a data frame according to two grouping variables, and separate the individual values by a comma.
Here is some data:
data <- data.frame(A = c(rep(111, 3), rep(...
7
Solved
I have a model:
class ItemPrice(models.Model):
price = models.DecimalField(max_digits=8, decimal_places=2)
# ...
I tried this to calculate the sum of price in this queryset:
items = ItemPrice.ob...
Erickson asked 23/12, 2011 at 12:55
4
Django's QuerySet has two methods, annotate and aggregate. The documentation says that:
Unlike aggregate(), annotate() is not a terminal clause. The output of the annotate() clause is a QuerySet.
...
Sines asked 2/11, 2011 at 14:18
5
Solved
I have a data frame df with rows that are duplicates for the names column but not for the values column:
name value etc1 etc2
A 9 1 X
A 10 1 X
A 11 1 X
B 2 1 Y
C 40 1 Y
C 50 1 Y
I need to aggre...
Kaiserslautern asked 29/6, 2013 at 18:51
5
Solved
Let's say I have a log of user activity and I want to generate a report of the total duration and the number of unique users per day.
import numpy as np
import pandas as pd
df = pd.DataFrame({'date...
11
Solved
I am using this dataframe:
Fruit Date Name Number
Apples 10/6/2016 Bob 7
Apples 10/6/2016 Bob 8
Apples 10/6/2016 Mike 9
Apples 10/7/2016 Steve 10
Apples 10/7/2016 Bob 1
Oranges 10/7/2016 Bob 2
Oran...
10
Solved
From a data frame, is there a easy way to aggregate (sum, mean, max etc) multiple variables simultaneously?
Below are some sample data:
library(lubridate)
days = 365*2
date = seq(as.Date("2000...
Frequentation asked 15/3, 2012 at 15:44
2
I am working on an application which requires some double entry bookkeeping. Currently there are two endpoints
/account
/transaction
While /account handles general data of the accounts, /transac...
Karen asked 30/10, 2015 at 15:17
2
Solved
I am trying to wrap my head around the differences between an API gateway and the aggregator pattern for microservices.
At the moment From my understanding the aggregator pattern functions by colle...
Preshrunk asked 19/6, 2021 at 7:52
2
Solved
I have the followed model in Django:
class Click(models.Model):
url = models.ForeignKey(Url, on_delete=models.CASCADE)
browser = models.CharField(max_length=255)
platform = models.CharField(max_...
Loats asked 28/6, 2022 at 20:27
16
Solved
Given a dataframe, I want to groupby the first column and get second column as lists in rows, so that a dataframe like:
a b
A 1
A 2
B 5
B 5
B 4
C 6
becomes
A [1,2]
B [5,5,4]
C [6]
How do I do thi...
3
Solved
Could someone please explain why I get different answers using the aggregate function to count missing values by group? Also, is there a better way to count missing values by group using a native R...
5
Solved
As the subject describes, I have a PySpark Dataframe that I need to melt three columns into rows. Each column essentially represents a single fact in a category. The ultimate goal is to aggregate t...
1
Solved
I have this data set:
np.random.seed(0)
test = pd.DataFrame({
'a' : np.random.randint(0, 10, size=(10,)),
'b' : np.random.randint(0, 10, size=(10,)),
'c' : np.random.randint(0, 10, size=(10,))...
Borate asked 18/10, 2019 at 19:36
2
Solved
I have the following part of my code:
result <- aggregate(cbind(x1,x2,x3,y1,y2,y3,z1,z2,z3,w)~date, rbind(result, datanew), sum, na.rm=F)
Is there a faster way to obtain the same result?
Wh...
1
Solved
I have two collections
A collection to save following users
A collection for user stories
I want to see only the stories of the users I have followed
This is an example of my database
db = {
&qu...
4
Solved
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:
Code Country Item_Code Item Ele_Code Unit Y1961 Y1962 Y...
3
Solved
I'm trying to get an average of sums using nested aggregate functions and grouping. What I would want to do is:
SELECT AVG(SUM(x) GROUP BY y) WHERE ... GROUP BY ...;
That is, for each row return...
Cop asked 19/6, 2012 at 19:5
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