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Can I logically reorder columns in a table?


By : user61230
Date : July 27 2020, 11:00 PM
Hope that helps You can not do this programatically (in a safe way that is) without creating a new table.
What Enterprise Manager does when you commit a reordering is to create a new table, move the data and then delete the old table and rename the new table to the existing name.
code :


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How do I reorder data.table columns?


By : Yuriy Volosenko
Date : March 29 2020, 07:55 AM
it should still fix some issue How do I permute columns in a data.table? I can do that for a data.frame, but data.table overrides the method: , Use setcolorder:
code :
> library(data.table)
> dt <- data.table(a=1:3,b=4:6)
> setcolorder(dt, c("b", "a"))
> dt
   b a
1: 4 1
2: 5 2
3: 6 3

Sqlite3: how to reorder columns in a table?


By : 오태현
Date : March 29 2020, 07:55 AM
hop of those help? This isn't a trivial task in any DBMS. You would almost certainly have to create a new table with the order that you want, and move your data from one table to the order. There is no alter table statement to reorder the columns, so either in sqlite manager or any other place, you will not find a way of doing this in the same table.
If you really want to change the order, you could do:
code :
create table tableA(
col1 int,
col3 int,
col2 int);
create table tableB(
col1 int,
col2 int,
col3 int);
insert into tableB
SELECT col1,col2,col3 
FROM tableA;
DROP table tableA;
ALTER TABLE tableB RENAME TO tableA;

Reorder columns in pandas pivot table


By : Abc Gyl
Date : March 29 2020, 07:55 AM
like below fixes the issue I have a pandas dataframe created using the pivot_table method. It is structured as follows: , One way is to create the MultiIndex and reindex by that:
code :
In [11]: mi = pd.MultiIndex.from_product([['Imps', 'Spend'], ['3day avg','10day avg','30day avg','All']])

In [12]: df.reindex_axis(mi, 1)
Out[12]: 
               Imps                                        Spend                          
           3day avg   10day avg   30day avg         All 3day avg 10day avg 30day avg   All
All       8,029,438  17,617,872  17,302,111  14,156,666     $209      $439      $468  $368
Crossnet        116         NaN         110         113       $0       NaN        $0    $0
N/A       8,430,904  17,617,872  18,212,742  14,644,823     $219      $439      $492  $381

How do I reorder the columns in table


By : XFlak
Date : March 29 2020, 07:55 AM
I wish this helpful for you One option would be to match the month.name with the column names of the dataset and use that as index to reorder the columns
code :
df1 <- booking_com_graph[,match(month.name, colnames(booking_com_graph), nomatch=0)]

R How to find and reorder columns in one table according to column order in another table (tables contain diff number of


By : Matt Delahoussaye
Date : March 29 2020, 07:55 AM
This might help you Install and load dplyr package for select function. Other functions used match, order, is.na, which and operator %in%.
code :
  install.packages("plyr")
  install.packages("dplyr")
  library(plyr)
  library(dplyr)

  table1 = data.frame(rbind(c(rep(c(TRUE,FALSE), 3)), c(rep(TRUE, 4), rep(FALSE, 2))))
  dim(table1)
  names(table1) <- letters[1:6]

  table2 = data.frame(rbind(c(rep(c(TRUE,FALSE), 2)), c(rep(TRUE, 3), rep(FALSE, 1))))
  dim(table2)
  names(table2) <- letters[7:4]

  target <- as.vector(names(table2)) 
  t <- select(table1, which(names(table1) %in% target))
  gg <- match (target,names(t)) 
  gg <- gg[!is.na(gg)]
  Result <- t[,order(gg)]
  Result
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