Converting column with list of values into rows DataFrames consist of rows, columns, and data. DataFrames are 2-dimensional data structures in pandas. Inside pandas, we mostly deal with a dataset in the form of DataFrame. Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Submitted by Pranit Sharma, on September 05, 2022

Then get max value from type variable).Given a Pandas DataFrame, we have to convert its column with list of values into rows.

We use table type variable (In our case is table type variable) to store all values of column.

When we say city is added to the table and not to our CTE? It means table is dynamic so our CTE must be dynamic, to achieve this we will have to find the max value of column.

well this is relevant question but we have solution for this Step 7: I am frequently being asked the question that what will happen when we add an extra row in country table?įor example: if we add another city name in country table then our query will not work properly. , Max( case when row_no=4 then cityName end ) as City_4 , Max( case when row_no=3 then cityName end ) as City_3

, Max( case when row_no=2 then cityName end ) as City_2 , Max( case when row_no=1 then cityName end ) as City_1 ROW_NUMBER() OVER( PARTITION BY CountryName order by CountryName Desc) as row_no (,, ) VALUES ( 9, N ' USA', N ' Washington D C') (,, ) VALUES ( 8, N ' USA', N ' Chicago') (,, ) VALUES ( 7, N ' USA', N ' NewYork') (,, ) VALUES ( 6, N ' Aus', N ' Melbourne')

(,, ) VALUES ( 5, N ' Aus', N ' Sedney') (,, ) VALUES ( 4, N ' India', N ' Indore') (,, ) VALUES ( 3, N ' India', N ' Bhopal') (,, ) VALUES ( 2, N ' India', N ' Channai') (,, ) VALUES ( 1, N ' India', N ' Mumbai') ) WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON GO SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE.

Turn columns into rows