Category "group-by"

How do I write a GROUP BY or HAVING clause in Diesel?

I'm trying to convert the following SQL query into corresponding Rust Diesel code: SELECT COUNT(*) FROM BookStore WHERE BookName IN ('Lord of the Rings', 'Hobbi

Group by columns on Power BI

I have column in which 3-4 different values and data like this companyname servicestatus employee abc inservice abc_e1 abc inserv

Count groups of consecutive 1s in pandas

I have a list of '1's and '0s' and I would like to calculate the number of groups of consecutive '1's. mylist = [0,0,1,1,0,1,1,1,1,0,1,0] Doing it by hand g

GroupingError: ERROR: column " " must appear in the GROUP BY clause or be used in an aggregate function

I am trying to create a list of unique patients who have left comments. The code words fine until I upload to heroku where it doesnt work in postgresql. This

How to change specific column to rows without changing the other columns in pandas?

I have dataframe like this: Date ID Age Gender Fruits 1.1.19 1 50 F Apple 2.1.19 1 50

PostgreSQL asking for 'group by' clause in where, when sending parameters

I have a simple query in PostgreSQL which is ok when I run it without any query parameters : select date_trunc('week', action_time),count(*) from event

pandas group by ALL functionality?

I'm using the pandas groupby+agg functionality to generate nice reports aggs_dict = {'a':['mean', 'std'], 'b': 'size'} df.groupby('year').agg(aggs_dict) I wo

Grouping into interval of 5 minutes within a time range

I have some difficulties with mySQL commands that I want to do. SELECT a.timestamp, name, count(b.name) FROM time a, id b WHERE a.user = b.user AND a.id =

Python group by

Assume that I have a set of data pair where index 0 is the value and index 1 is the type: input = [ ('11013331', 'KAT'), ('9085267', 'NOT

Postgresql Multiple counts for one table

From two columns in my table I want to get a unified count for the values in these columns. As an example, two columns are: Table: reports | type