re.sub erroring with "Expected string or bytes-like object"

Question

I have read multiple posts regarding this error, but I still can’t figure it out. When I try to loop through my function:

def fix_Plan(location):
    letters_only = re.sub("[^a-zA-Z]",  # Search for all non-letters
                          " ",          # Replace all non-letters with spaces
                          location)     # Column and row to search    

    words = letters_only.lower().split()     
    stops = set(stopwords.words("english"))      
    meaningful_words = [w for w in words if not w in stops]      
    return (" ".join(meaningful_words))    

col_Plan = fix_Plan(train["Plan"][0])    
num_responses = train["Plan"].size    
clean_Plan_responses = []

for i in range(0,num_responses):
    clean_Plan_responses.append(fix_Plan(train["Plan"][i]))

Here is the error:

Traceback (most recent call last):
  File "C:/Users/xxxxx/PycharmProjects/tronc/tronc2.py", line 48, in <module>
    clean_Plan_responses.append(fix_Plan(train["Plan"][i]))
  File "C:/Users/xxxxx/PycharmProjects/tronc/tronc2.py", line 22, in fix_Plan
    location)  # Column and row to search
  File "C:UsersxxxxxAppDataLocalProgramsPythonPython36libre.py", line 191, in sub
    return _compile(pattern, flags).sub(repl, string, count)
TypeError: expected string or bytes-like object

Asked By: imanexcelnoob

||

Source

Answer 1

As you stated in the comments, some of the values appeared to be floats, not strings. You will need to change it to strings before passing it to re.sub. The simplest way is to change location to str(location) when using re.sub. It wouldn’t hurt to do it anyways even if it’s already a str.

letters_only = re.sub("[^a-zA-Z]",  # Search for all non-letters
                          " ",          # Replace all non-letters with spaces
                          str(location))

Answered By: Taku

Answer 2

I suppose better would be to use re.match() function. here is an example which may help you.

import re
import nltk
from nltk.tokenize import word_tokenize
nltk.download('punkt')
sentences = word_tokenize("I love to learn NLP n 'a :(")
#for i in range(len(sentences)):
sentences = [word.lower() for word in sentences if re.match('^[a-zA-Z]+', word)]  
sentences

Answered By: Bilal Chandio

Answer 3

The simplest solution is to apply Python str function to the column you are trying to loop through.

If you are using pandas, this can be implemented as:

dataframe['column_name']=dataframe['column_name'].apply(str)

Answered By: msaif

Answer 4

I had the same problem. And it’s very interesting that every time I did something, the problem was not solved until I realized that there are two special characters in the string.

For example, for me, the text has two characters:

&lrm; _{(Left-to-Right Mark)} and &zwnj; _{(Zero-width non-joiner)}

The solution for me was to delete these two characters and the problem was solved.

import re
mystring = "&lrm;Some Time W&zwnj;e"
mystring  = re.sub(r"&lrm;", "", mystring)
mystring  = re.sub(r"&zwnj;", "", mystring)

I hope this has helped someone who has a problem like me.

Answered By: Mostafa

Answer 5

from my experience in Python, this is caused by a None value in the second argument used in the function re.findall().

import re
x = re.findall(r"[(.*?)]", None)

One reproduce the error with this code sample.

To avoid this error message, one can filter the null values or add a condition to put them out of the processing

Answered By: stay_funn

re.sub erroring with "Expected string or bytes-like object"

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