I have a data like this . the strings are separated by comma.

"India1,India2,myIndia     "
"Where,Here,Here   "
"Here,Where,India,uyete"
"AFD,TTT"

What I am trying to do is to put them all in one column (one under each other) So it will become like this

India1
India2
myIndia
Where
Here
Here
Here
Where
India
uyete
AFD
TTT

Then I keep the unique ones which lead to this

India1
India2
myIndia
Where
Here
India
uyete
AFD
TTT

So I have the first data in a .txtformat and I have tried to use numpyfor this

This is my code

#!/usr/bin/python
import numpy as np# give a name to my data 
file_name = 'path to my data/test.txt'
# set my output 
with open ( 'output.txt' , 'w' ) as out:# read all the linesfor n , line in enumerate ( open ( file_name ).readlines ( ) ):# split each stirg from another one by a commaitem1 = file_name.split ( ',' )myList = ','.join ( map ( str , item1 ) )item2 = np.unique ( myList , return_inverse=True )# save the data into outout.write ( item2 )

I was getting TypeError: expected a character buffer object

I have searched it and I found several post like TypeError: expected a character buffer object - while trying to save integer to textfile

and If I added out.seek ( 0 ) I still got the same error

but by changing it to out.write ( str(item2 )) thanks to TypeError: expected a character buffer object I get no error however, the output is showing this

(array(['/path to the file/test.txt'], dtype='|S29'), array([0]))

Below is given a soltuion which I tried to use

import csvdata = []
def remove_quotes(file):for line in file:yield line.strip ( '"\n' )
with open ( 'test.txt' ) as f:reader = csv.reader ( remove_quotes ( f ) )for row in reader:data.extend ( row )

No error but also data is not generated

stack.txt below contains this:

"India1,India2,myIndia"
"Where,Here,Here"
"Here,Where,India,uyete"
"AFD,TTT"

Here you go:

from collections import OrderedDictwith open("stack.txt", "r") as f:# read your data in from the gist site and strip off any new-line charactersdata = [eval(line.strip()) for line in f.readlines()]# get individual words into a listindividual_elements = [word for row in data for word in row.split(",")]# remove duplicates and preserve orderuniques = OrderedDict.fromkeys(individual_elements)   # convert from OrderedDict object to plain listfinal = [word for word in uniques]print(final)

Which yields this:

['India1', 'India2', 'myIndia', 'Where', 'Here', 'India', 'uyete', 'AFD', 'TTT']

Edit: To get your desired output, just print the list in the format you want:

print("\n".join(final))

Which is equivalent, from an output standpoint, to this:

for x in final:print(x)

Which yields this:

India1
India2
myIndia
Where
Here
India
uyete
AFD
TTT