Category "group-by"

SELECT list is not in GROUP BY clause and contains nonaggregated column .... incompatible with sql_mode=only_full_group_by

AM using MySQL 5.7.13 on my windows PC with WAMP Server Here my Problem is While executing this query SELECT * FROM `tbl_customer_pod_uploads` WHERE `load_id`

expression not in aggregate or GROUP BY columns

I have a table that contains the following columns: ProductID, ProductName, Price, CategoryID. The goal is to print all the details (ProductID, ProductName, Pri

Spark pivot groupby performance very slow

I am trying to pivot the dataframe of raw data size 6 GB and it used to take 30 minutes time (aggregation function sum): x_pivot = raw_df.groupBy("a", "b", "c"

How can we use group by keyword on PIVOT table having dynamic column joined with another table or alternative query of Pivot

I have 2 tables named tblDemo and tblSubDemo; tblDemo havve 2 columns _id and _name. tblSubDemo have 3columns, ID,Name, Demo_ID(it is the primary key of tblDemo

SQL group by in Subquery

I'm trying to get monthly production using group by after converting the unix column into regular timestamp. Can you please tell how to use group by here in the

Calculating Percentage value for a Group by value in Postgres

I want to calculate Percentage of a value in Group by. My Table data salesId salesAmount productName salesTyp ------- ----------- ----------- ----

R: Panel Data: calculating mean and median of variables based on date / dummy variable

So i am analysing fund panel data. I estimated a fixed effect model with double clustered error terms along the identification (ISIN) and (Date). Each fund has

Can list comprehensions make groups?

I have a list that looks like [(1,2,5),(2,10,13),(5,24,56),(1,8,10),(2,3,11)] How can I produce a dictionary by grouping by first element of tuples and find

Keeping time-series while grouping by season in xarray

I would like to have the winter (DJF) average for every year to plot a time-series. I know that I can group by season if I have a data array (DA). I don't know

GROUP BY + CASE statement

I have a working query that is grouping data by hardware model and a result, but the problem is there are many "results". I have tried to reduce that down to "

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