I have text file which look like this:

txt file

now I want to convert that text file in csv file single row

The outcome would look like: csv_output

CodePudding user response：

First we will import pandas:

import pandas as pd

Second we will read the txt.file:

df = pd.read_csv("x.txt")

Third we will make this df -> csv with Transpose (to switch column orientation to row orientation) and header = False (will drop column names row)

df.T.to_csv('result.csv', header=False)

CodePudding user response：

You could use T or transpose() to switch orientation of your DataFrame - Getting rid of headers and index set them to false:

df.T.to_csv('result.csv',header=False, index=False)

Example

import pandas as pd

df = pd.DataFrame(['db1','db2','db3','db4','db5','db6'])

df.T.to_csv('result.csv',header=False, index=False)

Output

db1,db2,db3,db4,db5,db6\r\n

CodePudding user response：

A csv is also a text file. You could simply read the text file as follows:

with open("in.txt", "r") as f:
    columns = f.read().splitlines()

And write a new one:

with open("out.csv", "w") as out:
    out.write(",".join(columns)) # "," is default, you can use any sep