I have a bunch of csv files with the same columns but in different order. We are trying to upload them with SQL*Plus but we need the columns with a fixed column arrange.
Example
required order: A B C D E F
csv file: A C D E B (sometimes a column is not in the csv because it is not available)
is it achievable with python? we are using Access+Macros to do it... but it is too time consuming
PS. Sorry if anyone get upset for my English skills.
You can change the order of columns in the pandas dataframe using the df. reindex() method.
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.
You can use the csv module to read, reorder, and then and write your file.
Sample File:
$ cat file.csv A,B,C,D,E a1,b1,c1,d1,e1 a2,b2,c2,d2,e2
Code
import csv with open('file.csv', 'r') as infile, open('reordered.csv', 'a') as outfile: # output dict needs a list for new column ordering fieldnames = ['A', 'C', 'D', 'E', 'B'] writer = csv.DictWriter(outfile, fieldnames=fieldnames) # reorder the header first writer.writeheader() for row in csv.DictReader(infile): # writes the reordered rows to the new file writer.writerow(row)
output
$ cat reordered.csv A,C,D,E,B a1,c1,d1,e1,b1 a2,c2,d2,e2,b2
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