I have a CSV file that only has column headers:

 cat mycsv.csvcol_1@@@col_2@@@col_3@@@col_3

I have to fill a single row with None values in each cell of the CSV file. Can someone suggest me the best-optimized way to do that in Python and Pandas?

After I fill the row the csv file should look like:

 cat mycsv.csvcol_1 , col_2 , col_3 , col_30@@@None@@@None@@@None

How to insert index and separator is @@@ instead of , ? I am getting an error as:

tmp.to_csv(csvFile,sep='@@@',index=True) , line 1381, in to_csv
formatter.save()3.6.1/linux_x86_64/lib/python3.6/site-packages/pandas/formats/format.py", line 1473, in save
self.writer = csv.writer(f, **writer_kwargs)TypeError: "delimiter" must be a 1-character string
Exception ignored in: <module 'threading' from Traceback (most recent call last):
File python-3.6.1/linux_x86_64/lib/python3.6/threading.py", line 1015, in 
_delete
del _active[get_ident()] 
KeyError: 140459817715712

Does it a @ or , ? If you using a formal csv file, the separator of the header should be the same as the contents.

If you mean ,, you could use something like that.

import pandas as pd
# just for abrevation
tmp = pd.read_csv("mycsv.csv",sep=',')
tmp.loc[0,:] = "None"
tmp.to_csv("mycsv.csv",sep=',',index=False)

If you mean @, I suggest that you should not use pandas. Just using the simply IO ways.

tmp = open("mycsv.csv","r").read()
tmp = tmp + "\n" + "@@@".join(["None"] * len(tmp.split(',')))
with open("mycsv.csv","w") as f1:f1.write(tmp)