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How would one change this input (with the sequence: time, in, out, files):
Time In Out Files 1 2 3 4 2 3 4 5 To this output (with the sequence: time, out, in, files)?
Time Out In Files 1 3 2 4 2 4 3 5 Here's the dummy R data:
table <- data.frame(Time=c(1,2), In=c(2,3), Out=c(3,4), Files=c(4,5)) table ## Time In Out Files ##1 1 2 3 4 ##2 2 3 4 5 
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Reordering or Rearranging the column of dataframe in pandas python can be done by using reindex function. In order to reorder or rearrange the column in pandas python. We will be different methods. To reorder the column in ascending order we will be using Sort() function.
You can change the order of the dataframe columns using the reindex() method. The reindex() method accepts columns as a list. Pass the columns as list in the order of how you want to rearrange them.
In order to Rearrange or reorder the column in pyspark we will be using select function. To reorder the column in ascending order we will be using Sorted function. To reorder the column in descending order we will be using Sorted function with an argument reverse =True. We also rearrange the column by position.
Reorder Columns using Pandas . Another way to reorder columns is to use the Pandas . reindex() method. This allows you to pass in the columns= parameter to pass in the order of columns that you want to use.
Your dataframe has four columns like so df[,c(1,2,3,4)]. Note the first comma means keep all the rows, and the 1,2,3,4 refers to the columns.
To change the order as in the above question do df2[,c(1,3,2,4)]
If you want to output this file as a csv, do write.csv(df2, file="somedf.csv")
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