Write each row of pandas dataframe into a new text file - pythonic way

问题

I was trying to google up if there's a way to parse a pandas dataframe row wise and write the contents of each row into a new text file. My dataframe consists of a single column called Reviews.

I'm looking to do some sentiment analysis on movie reviews and that I need each review to be in a separate text file. Can somebody help me here.

回答1:

I've written something like this and it works. anyways thanks for your inputs guys

for index, row in p.iterrows():
    if i > len(p):
       break
    else:
       f = open(str(i)+'.txt', 'w')
       f.write(row[0])
       f.close()
       i+=1

where p is a dataframe.

回答2:

It's still inefficient, but since it's required here's one possible solution.

import pandas as pd
from io import StringIO

data="""
column1 column2
c1 c2
c3 c4
c5 c6
"""

df = pd.read_csv(StringIO(data), delimiter='\s+')

i=0
for row in df.values:
    filename = 'testdir/review{}.csv'.format(i)
    row.tofile(filename, sep=",", format="%s")
    i+=1

This will take the values as an array and write the data to a csv file named review0.csv, review1.csv... Another solution is to use pd.to_csv within the loop and specify the chunk

来源：https://stackoverflow.com/questions/33620132/write-each-row-of-pandas-dataframe-into-a-new-text-file-pythonic-way