ValueError:Length mismatch: Expected axis has 13 elements, new values have 3 elements

[vikash512]

import keras
import nltk
import pandas as pd
import numpy as np
import re
import codecs

input_file = codecs.open("/home/vikash/gen/social_media-disaster-tweets-DFE.csv", 'r'
, encoding='utf-8', errors='replace')
print input_file
output_file = open("social_media_relevant_cols_clean.csv", "w")

def sanitize_characters(raw, clean):
print("enter the function")
for line in input_file:
output_file.write(line)

sanitize_characters(input_file, output_file)
questions = pd.read_csv("social_media_relevant_cols_clean.csv")
questions.columns = ('text', 'choose_one', 'choose_label')
questions.head()
questions.tail()

The following is the error

Traceback (most recent call last):
File "/home/vikash/gen/concept.py", line 22, in
questions.columns = ('text', 'choose_one', 'choose_label')
File "/home/vikash/.local/lib/python2.7/site-packages/pandas/core/generic.py", line 4385, in setattr
return object.setattr(self, name, value)
File "pandas/_libs/properties.pyx", line 69, in pandas._libs.properties.AxisProperty.set
File "/home/vikash/.local/lib/python2.7/site-packages/pandas/core/generic.py", line 645, in _set_axis
self._data.set_axis(axis, labels)
File "/home/vikash/.local/lib/python2.7/site-packages/pandas/core/internals.py", line 3323, in set_axis
'values have {new} elements'.format(old=old_len, new=new_len))
ValueError: Length mismatch: Expected axis has 13 elements, new values have 3 elements

[137x3w]

@vikash512 I hope you found an answer, but I try to describe this situation.
Here is a description what can you do with DataFrame. You can try to delete unnecessary columns, but also you can select some of them by using operation like this
questions.head()[["text", "choose_one"]]
questions[["text", "choose_one"]].describe()