decode csv file in utf-8 (django + pandas)

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My code generates a csv file, returns it to the browser. After downloading the file, all Russian words look like: РђР ± Р ° РєР ° РЅ ... encoding as if it doesn’t work. Tell me, please, how can I solve the problem?

dataCsv = data.to_csv(sep=';', header='True', decimal=',', encoding='utf-8')
response = HttpResponse(dataCsv, content_type="text/csv")
response['Content-Disposition'] = 'attachment; filename=data.csv'

return response

i think you should use 'cp869 Codec' for Russian

check the link for more details: https://docs.python.org/2.4/lib/standard-encodings.html

Django utf-8 csv export · GitHub, django-csv-export-utf8.py. ''' Using the A CSV writer which will write rows to CSV file "f",. which is encoded in the given encoding. """ def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):. # Redirect data = data.decode(" utf-8"). Here’s a problem I solved today: I have a CSV file to parse which contained UTF-8 strings, and I want to parse it using Python. I want to do it in a way that works in both Python 2.7 and Python 3. This proved to be non-trivial, so this blog post is a quick brain dump of what I did, in the hope it’s useful to somebody else and/or my future self.

I recently had an issue with UTF-8 and CSV, and I found a fix after much searching. I can't recall to credit the original, but what I did was add:

    response.write(u'\ufeff'.encode('utf8'))

after setting up the response. So you'd have:

response = HttpResponse(dataCsv, content_type="text/csv")
response['Content-Disposition'] = 'attachment; filename=data.csv'
response.write(u'\ufeff'.encode('utf8'))

return response

From my understanding, this tells Excel "This is a UTF-8 encoded file".

Notes on reading a UTF-8 encoded CSV in Python – alexwlchan, Here's a problem I solved today: I have a CSV file to parse which contained UTF- 8 strings, and I want to parse it using Python. I want to do it in a  UTF converts special character words through encoding. Save the file as Unicode before converting to csv and encoding as UTF-8. Recommended Articles. This has been a guide to Excel CSV UTF8. Here we discuss how to convert special kinds of characters with CSV files along with practical examples.

In my settings file i'm insert

DEFAULT_CHARSET = 'cp1251'

Views:

dataCsv = data.to_csv(sep=';', header='True', decimal=',', encoding='cp1251')
response = HttpResponse(dataCsv, content_type="text/csv")
response['Content-Disposition'] = 'attachment; filename=data.csv'

return response

adventures with parsing Django uploaded csv files in python3 , decode('utf-8') turns your bytes into a string, with known encoding. (Make sure that you know how your CSV is encoded to start with, though! While I importing the file it shows. UnicodeDecodeError: "utf-8" codec can"t decode byte 0xa0 in position 10: invalid start byte. Code: import pandas as pd a = pd.read_csv("filename.csv")

django csv import encoding - django - iOS, 2 - I have tried to convert my csv files to many differents formats (using vb.net) like utf-8, utf-32, unicode but all of them cause some error in Django csv import. Phyton python read files with open,python read files with extension, I have a UTF-8 file with twitter data and I am trying to read it into a Python data frame but I can only get an 'object' type instead of unicode strings: # file 1459966468_324.csv #1459966468_324.csv:

9.1.5 Examples, The simplest example of reading a CSV file: The csv module doesn't directly support reading and writing Unicode, but it is The encoded strings are parsed by the CSV reader, and unicode_csv_reader decodes the UTF-8-encoded cells  To decode a file using a different encoding, use the encoding argument of open: import csv with open ( 'some.csv' , newline = '' , encoding = 'utf-8' ) as f : reader = csv . reader ( f ) for row in reader : print ( row )

csv — CSV File Reading and Writing, Each row read from the csv file is returned as a list of strings. import csv with open('some.csv', newline='', encoding='utf-8') as f: reader = csv.reader(f) for row  Sometimes it is good to know what is the encoding type of the file you are working with. At least that was the case with me when I used the pandas library and tried to create a data frame from a csv file, but continuously received a UnicodeError message and almost went crazy.