Python CSV: Remove quotes from value

need to escape, but no escapechar set
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quoting=csv.quote_none pandas

I have a process where a CSV file can be downloaded, edited then uploaded again. On the download, the CSV file is in the correct format, with no wrapping double quotes

1, someval, someval2

When I open the CSV in a spreadsheet, edit and save, it adds double quotes around the strings

1, "someEditVal", "someval2"

I figured this was just the action of the spreadsheet (in this case, openoffice). I want my upload script to remove the wrapping double quotes. I cannot remove all quotes, just incase the body contains them, and I also dont want to just check first and last characters for double quotes.

Im almost sure that the CSV library in python would know how to handle this, but not sure how to use it...

EDIT When I use the values within a dictionary, they turn out as follows

{'header':'"value"'}

Thanks

For you example, the following works:

import csv
writer = csv.writer(open("out.csv", "wb"), quoting=csv.QUOTE_NONE)
reader = csv.reader(open("in.csv", "rb"), skipinitialspace=True)
writer.writerows(reader)

You might need to play with the dialect options of the CSV reader and writer -- see the documentation of the csv module.

how to remove the double quotes in a csv, Use gsub() function for global substitution $ awk '{gsub(/\"/,"")};1' input.csv 1,2,3,4, 9 1,2,3,6,24 1,2,6,8,28 1,2,4,6,30. To send output to new file use > shell� I want to remove all double quotes within all columns and all values in a dataframe. So if I have a value such as. potatoes are "great" I want to return. potatoes are great DataFrame.replace() lets me do this if I know the entire value I'm changing, but is there a way to remove individual characters?

Thanks to everyone who was trying to help me, but I figured it out. When specifying the reader, you can define the quotechar

csv.reader(upload_file, delimiter=',', quotechar='"')

This handles the wrapping quotes of strings.

Python Examples of csv.QUOTE_NONE, This page shows Python examples of csv. Python csv. csvreader: # append all lines as-is case-wise values.append([value.strip() for value in row]) # ensure� How to remove the double quotes? Answer 1. You can pass the type as an argument to the read_csv function. pd.read_csv('test.csv', delimiter='; ', engine='python

For Python 3:

import csv
writer = csv.writer(open("query_result.csv", "wt"), quoting=csv.QUOTE_NONE, escapechar='\\')
reader = csv.reader(open("out.txt", "rt"), skipinitialspace=True)
writer.writerows(reader)

The original answer gives this error under Python 3. Also See this SO for detail: csv.Error: iterator should return strings, not bytes

Traceback (most recent call last): File "remove_quotes.py", line 11, in writer.writerows(reader) _csv.Error: iterator should return strings, not bytes (did you open the file in text mode?)

How to remove single quotes around the string, I have my string (which is actually a header line read from CSV file). single I would be happy to find out how to remove the apostrophes/single quotes as well. assigning a value to a variable? fprintf could print something to the command the same sort of shenanigans all the time in other systems: R, Python, plpgsql,� I am trying to read a large dataset in .csv format which is update automatically using the pandas library. The problem is that in my data, the first row is a string without double quotation marks,

command line - Remove quotes around integers in a csv file, Using perl: perl -ne 's/"(\d+)"/$1/g; print' file.csv > new_file.txt. All the work is done by s/"(\d+)"/$1/g where. s/patternA/patternB/ is used to replace� The following Python program converts a file called “test.csv” to a CSV file that uses tabs as a value separator with all values quoted. The delimiter character and the quote character, as well as how/when to quote, are specified when the writer is created.

How to avoid double quotes when saving Excel file as Unicode , This is standard behavior (and similar to the way CSV files are saved). 4180 – Common Format and MIME Type for Comma-Separated Values (CSV) Files: files in a text editor and removing all the quotes with a simple search-and-replace . CSV files are very easy to work with programmatically. Any language that supports text file input and string manipulation (like Python) can work with CSV files directly. Parsing CSV Files With Python’s Built-in CSV Library. The csv library provides functionality to both read from and write to CSV files. Designed to work out of the box with

Output to CSV without quotes, I have a need for a very specifically formatted csv file. You need only to remove the quotes before the output data and leave as 'auto'. The so-called CSV (Comma Separated Values) format is the most common import and export format for spreadsheets and databases. CSV format was used for many years prior to attempts to describe the format in a standardized way in RFC 4180. The lack of a well-defined standard means that subtle differences often exist in the data produced and

Comments
  • The quotation marks are generally considered to be allowed in CSV files. Are you sure you have to remove them?
  • Yeah, Im using them in a processing script putting them into a dictionary,and they turn out like this {'header':'"value"'}
  • Open office calc 3.2 DOESN'T put spaces after the commas. What version are you using?
  • QUOTE_NONE works when downloading/creating the CSV, which is great! But my problem is when I edit the csv (which is where the double quotes are added in) and upload it again. Thanks for the helpful answer though!
  • The code I gave is not for parsing the file -- it is for converting your "wrong" file to a "correct" one. If you just want to read it, use only the reader, not the writer. Maybe you just needed skipinitialspace=True?
  • QUOTE_NONE is NOT a good idea if as the OP said he has " in the content.
  • @John: The OP wants these quotes to be removed -- this is what the script does. I'm confused by your comment.
  • There appears to be some evidence that what the OP wants is not what the OP needs :-)
  • The two parameters you pass are just the defaults -- you can simply omit them! And this won't parse the example data in your question -- this will only work with skipinitialspace=True.
  • ah ok, thanks Sven! I omitted those params and it still works, thanks for the help. I used the reader using the default params. If you would like to post as an answer ill mark it
  • If this works, you didn't post the real data in your question. As for the data in the question, this does not work.
  • It turns out the original reader I was using had the quotechar defined as a pipe... (I am pretty new to stackoverflow, should I delete the question as this was my mistake?)
  • Up to you... Most certainly it is not very useful to keep it.
  • why is there 'rt'mode for writer and wt for reader? I also think that you should set escapechar
  • @Zangetsu That's a good call. Thanks for pointing it out. I'll update the answer.