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Write numpy.ndarray with Russian characters to file

I try to write numpy.ndarray to file.
I use
unique1 = np.unique(df['search_term'])
unique1 = unique1.tolist()
and next try
1)
edf = pd.DataFrame()
edf['term'] = unique1
writer = pd.ExcelWriter(r'term.xlsx', engine='xlsxwriter')
edf.to_excel(writer)
writer.close()
and 2)
thefile = codecs.open('domain.txt', 'w', encoding='utf-8')
for item in unique:
thefile.write("%s\n" % item)
But all return UnicodeDecodeError: 'utf8' codec can't decode byte 0xd7 in position 9: invalid continuation byte

The second example should work if you encode the strings as utf8.
The following works in Python2 with a utf8 encoded file:
# _*_ coding: utf-8
import pandas as pd
edf = pd.DataFrame()
edf['term'] = ['foo', 'bar', u'русском']
writer = pd.ExcelWriter(r'term.xlsx', engine='xlsxwriter')
edf.to_excel(writer)
writer.save()
Output:

Understanding how to quote XML string in order to serialize using Python's ElementTree

My specs:
Python 3.4.3
Windows 7
IDE is Jupyter Notebooks
What I have referenced:
how-to-properly-escape-single-and-double-quotes
python-escaping-strings-for-use-in-xml
escaping-characters-in-a-xml-file-with-python
Here is the data and script, respectively, below (I have tried variations on serializing Column 'E' using both Sax and ElementTree):
Data
A,B,C,D,E,F,G,H,I,J
"3","8","1","<Request TransactionID="3" RequestType="FOO"><InstitutionISO /><CallID>23</CallID><MemberID>12</MemberID><MemberPassword /><RequestData><AccountNumber>2</AccountNumber><AccountSuffix>85</AccountSuffix><AccountType>S</AccountType><MPIAcctType>Checking</MPIAcctType><TransactionCount>10</TransactionCount></RequestData></Request>","<Response TransactionID="2" RequestType="HoldInquiry"><ShareList>0000',0001,0070,</ShareList></Response>","1967-12-25 22:18:13.471000","2005-12-25 22:18:13.768000","2","70","0"
Script
#!/usr/bin/python
# -*- coding: utf-8 -*-
import os.path
import sys
import csv
from io import StringIO
import xml.etree.cElementTree as ElementTree
from xml.etree.ElementTree import XMLParser
import xml
import xml.sax
from xml.sax import ContentHandler
class MyHandler(xml.sax.handler.ContentHandler):
def __init__(self):
self._charBuffer = []
self._result = []
def _getCharacterData(self):
data = ''.join(self._charBuffer).strip()
self._charBuffer = []
return data.strip() #remove strip() if whitespace is important
def parse(self, f):
xml.sax.parse(f, self)
return self._result
def characters(self, data):
self._charBuffer.append(data)
def startElement(self, name, attrs):
if name == 'Response':
self._result.append({})
def endElement(self, name):
if not name == 'Response': self._result[-1][name] = self._getCharacterData()
def read_data(path):
with open(path, 'rU', encoding='utf-8') as data:
reader = csv.DictReader(data, delimiter =',', quotechar="'", skipinitialspace=True)
for row in reader:
yield row
if __name__ == "__main__":
empty = ''
Response = 'sample.csv'
for idx, row in enumerate(read_data(Response)):
if idx > 10: break
data = row['E']
print(data) # The before
data = data[1:-1]
data = ""'{}'"".format(data)
print(data) # Sanity check
# data = '<Response TransactionID="2" RequestType="HoldInquiry"><ShareList>0000',0001,0070,</ShareList></Response>'
try:
root = ElementTree.XML(data)
# print(root)
except StopIteration:
raise
pass
# xmlstring = StringIO(data)
# print(xmlstring)
# Handler = MyHandler().parse(xmlstring)
Specifically, due to the quoting in the CSV file (which is beyond my control), I have had to resort to slicing the string (line 51) and then formatting it (line 52).
However the print out from the above attempt is as follows:
"<Response TransactionID="2" RequestType="HoldInquiry"><ShareList>0000'
<Response TransactionID="2" RequestType="HoldInquiry"><ShareList>0000
File "<string>", line unknown
ParseError: no element found: line 1, column 69
Interestingly - if I assign the variable "data" (as in line 54) I receive this:
File "<ipython-input-80-7357c9272b92>", line 56
data = '<Response TransactionID="2" RequestType="HoldInquiry"><ShareList>0000',0001,0070,</ShareList></Response>'
^
SyntaxError: invalid token
I seek feedback and information on how to address utilizing the most Pythonic means to do so. Ideally, is there a method that can leverage ElementTree. Thank you, in advance, for your feedback and guidance.

It seems that You have badly formatted (well, badly quoted) csv data.
If csv file is beyond Your control I suggest not using csv reader to read them,
instead - if You can rely on each field being properly quoted - split them yourself.
with open(Response, 'rU', encoding='utf-8') as data:
separated = data.read().split('","')
try:
x = ElementTree.XML(separated[3])
print(x)
xml.etree.ElementTree.dump(x)
y = ElementTree.XML(separated[4])
xml.etree.ElementTree.dump(y)
except Exception as e:
print(e)
outputs
<Element 'Request' at 0xb6d973b0>
<Request RequestType="FOO" TransactionID="3"><InstitutionISO /><CallID>23</CallID><MemberID>12</MemberID><MemberPassword /><RequestData><AccountNumber>2</AccountNumber><AccountSuffix>85</AccountSuffix><AccountType>S</AccountType><MPIAcctType>Checking</MPIAcctType><TransactionCount>10</TransactionCount></RequestData></Request>
<Response RequestType="HoldInquiry" TransactionID="2"><ShareList>0000',0001,0070,</ShareList></Response>

MySQL export to CSV file as UTF-8 via Python script

I'm able to export a MySQL table into a CSV file via Python csv module but there are no utf-8 characters. (example: ???? chars insted of ąöę).
The table data is in utf-8 format (phpMyAdmin let me see correct data).
I found some information that in Python all data should be decoded in utf-8 and then encoded into CSV in utf-8 via for example unicodewritter (because the native csv module doesn't support Unicode correctly).
I tried a lot but no success.
Question : Is there any example script to export MySQL database in utf-8 to CSV file in utf-8 format in Python?
I use ubuntu 14.04 and there is a problem with mysql.connector so I use MySQLdb with Gord Thompson code :
# -*- coding: utf-8 -*-
import csv
import MySQLdb
from UnicodeSupportForCsv import UnicodeWriter
import sys
reload(sys)
sys.setdefaultencoding('utf8')
#sys.setdefaultencoding('Cp1252')
conn = MySQLdb.Connection(db='sampledb', host='localhost',
user='sampleuser', passwd='samplepass')
crsr = conn.cursor()
crsr.execute("SELECT * FROM rfid")
with open(r'test.csv', 'wb') as csvfile:
uw = UnicodeWriter(
csvfile, delimiter=',',
quotechar='"', quoting=csv.QUOTE_MINIMAL)
for row in crsr.fetchall():
uw.writerow([unicode(col) for col in row])
Error still exist : UnicodeDecodeError: 'utf8' codec can't decode byte 0xf3 in position 2: invalid continuation byte

MySQL is great in converting character sets. But you need to tell it to set up a connection using the correct collation.
On default it returns how it is put into the database. Add the required charset to the connection:
conn = MySQLdb.Connection(db='sampledb', host='localhost',
user='sampleuser', passwd='samplepass', charset='utf-8', )
Is this helpful?

This works for me with Python 2.7.5 and MySQL Connector/Python 2.0.4:
# -*- coding: utf-8 -*-
import csv
import mysql.connector
from UnicodeSupportForCsv import UnicodeWriter
conn = mysql.connector.connect(
host='localhost', port=3307,
user='root', password='whatever',
database='mydb')
crsr = conn.cursor()
crsr.execute("SELECT * FROM vocabulary")
with open(r'C:\Users\Gord\Desktop\test.csv', 'wb') as csvfile:
uw = UnicodeWriter(
csvfile, delimiter=',',
quotechar='"', quoting=csv.QUOTE_MINIMAL)
for row in crsr.fetchall():
uw.writerow([unicode(col) for col in row])
The UnicodeWriter class is taken directly from the last example on the documentation page for the csv module, which I stored in a file named "UnicodeSupportForCsv.py":
import csv, codecs, cStringIO
class UTF8Recoder:
"""
Iterator that reads an encoded stream and reencodes the input to UTF-8
"""
def __init__(self, f, encoding):
self.reader = codecs.getreader(encoding)(f)
def __iter__(self):
return self
def next(self):
return self.reader.next().encode("utf-8")
class UnicodeReader:
"""
A CSV reader which will iterate over lines in the CSV file "f",
which is encoded in the given encoding.
"""
def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
f = UTF8Recoder(f, encoding)
self.reader = csv.reader(f, dialect=dialect, **kwds)
def next(self):
row = self.reader.next()
return [unicode(s, "utf-8") for s in row]
def __iter__(self):
return self
class UnicodeWriter:
"""
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 output to a queue
self.queue = cStringIO.StringIO()
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
self.stream = f
self.encoder = codecs.getincrementalencoder(encoding)()
def writerow(self, row):
self.writer.writerow([s.encode("utf-8") for s in row])
# Fetch UTF-8 output from the queue ...
data = self.queue.getvalue()
data = data.decode("utf-8")
# ... and reencode it into the target encoding
data = self.encoder.encode(data)
# write to the target stream
self.stream.write(data)
# empty queue
self.queue.truncate(0)
def writerows(self, rows):
for row in rows:
self.writerow(row)

Finaly it Works! Thanks to : Gord Thompson and Prikkeldraad.
Thanks Guys !
# -*- coding: utf-8 -*-
import csv
import MySQLdb
from UnicodeSupportForCsv import UnicodeWriter
import sys
reload(sys)
sys.setdefaultencoding('utf8')
#sys.setdefaultencoding('Cp1252')
conn = MySQLdb.Connection(db='testdb', host='localhost', user='testuser', passwd='testpasswd', use_unicode=0,charset='utf8')
crsr = conn.cursor()
crsr.execute("SELECT * FROM rfid")
with open(r'test.csv', 'wb') as csvfile:
uw = UnicodeWriter(
csvfile, delimiter=',',quotechar='"', quoting=csv.QUOTE_MINIMAL)
for row in crsr.fetchall():
uw.writerow([unicode(col) for col in row])

Try this one ..make easy for you
https://github.com/jdunck/python-unicodecsv
The unicodecsv is a drop-in replacement for Python 2.7's csv module which supports unicode strings without a hassle. Supported versions are python 2.6, 2.7, 3.3, 3.4, 3.5, and pypy 2.4.0.
>>> import unicodecsv as csv
>>> from io import BytesIO
>>> f = BytesIO()
>>> w = csv.writer(f, encoding='utf-8')
>>> _ = w.writerow((u'é', u'ñ'))
>>> _ = f.seek(0)
>>> r = csv.reader(f, encoding='utf-8')
>>> next(r) == [u'é', u'ñ']
True

Python JSON to CSV - bad encoding, UnicodeDecodeError: 'charmap' codec can't decode byte

I have a problem converting nested JSON to CSV. For this i use https://github.com/vinay20045/json-to-csv (forked a bit to support python 3.4), here is full json-to-csv.py file.
Converting is working, if i set
#Base Condition
else:
reduced_item[str(key)] = (str(value)).encode('utf8','ignore')
and
fp = open(json_file_path, 'r', encoding='utf-8')
but when i import csv to MS Excel i see bad cyrillic characters, for example \xe0\xf1 , english text is ok.
Experimented with setting encode('cp1251','ignore') but then i got an error
UnicodeDecodeError: 'charmap' codec can't decode byte X in position Y: character maps to (as here UnicodeDecodeError: 'charmap' codec can't decode byte X in position Y: character maps to <undefined>)
import sys
import json
import csv
##
# This function converts an item like
# {
# "item_1":"value_11",
# "item_2":"value_12",
# "item_3":"value_13",
# "item_4":["sub_value_14", "sub_value_15"],
# "item_5":{
# "sub_item_1":"sub_item_value_11",
# "sub_item_2":["sub_item_value_12", "sub_item_value_13"]
# }
# }
# To
# {
# "node_item_1":"value_11",
# "node_item_2":"value_12",
# "node_item_3":"value_13",
# "node_item_4_0":"sub_value_14",
# "node_item_4_1":"sub_value_15",
# "node_item_5_sub_item_1":"sub_item_value_11",
# "node_item_5_sub_item_2_0":"sub_item_value_12",
# "node_item_5_sub_item_2_0":"sub_item_value_13"
# }
##
def reduce_item(key, value):
global reduced_item
#Reduction Condition 1
if type(value) is list:
i=0
for sub_item in value:
reduce_item(key+'_'+str(i), sub_item)
i=i+1
#Reduction Condition 2
elif type(value) is dict:
sub_keys = value.keys()
for sub_key in sub_keys:
reduce_item(key+'_'+str(sub_key), value[sub_key])
#Base Condition
else:
reduced_item[str(key)] = (str(value)).encode('cp1251','ignore')
if __name__ == "__main__":
if len(sys.argv) != 4:
print("\nUsage: python json_to_csv.py <node_name> <json_in_file_path> <csv_out_file_path>\n")
else:
#Reading arguments
node = sys.argv[1]
json_file_path = sys.argv[2]
csv_file_path = sys.argv[3]
fp = open(json_file_path, 'r', encoding='cp1251')
json_value = fp.read()
raw_data = json.loads(json_value)
processed_data = []
header = []
for item in raw_data[node]:
reduced_item = {}
reduce_item(node, item)
header += reduced_item.keys()
processed_data.append(reduced_item)
header = list(set(header))
header.sort()
with open(csv_file_path, 'wt+') as f:#wb+ for python 2.7
writer = csv.DictWriter(f, header, quoting=csv.QUOTE_ALL, delimiter=',')
writer.writeheader()
for row in processed_data:
writer.writerow(row)
print("Just completed writing csv file with %d columns" % len(header))
How to convert cyrillic correctly and also i want to skip bad characters?

You need to know cyrylic encoding of which file are you going to open.
For example that is enough in python3:
with open(args.input_file, 'r', encoding="cp866") as input_file:
data = input_file.read()
structure = json.loads(data)
In python3 data variable is automatically utf-8. In python2 there might be problem with feeding input to json.
Also try to print out in python interpreter line and see if symbols are right. Without input file is hard to tell if everything is right. Also are you sure that it is python, not excel related problem? Did you tried to open in notepad++ or similar encodings respecting editors?
Most important thing working with encodings is cheking that input and output is right. I would suggest to look here.

maybe you could use the chardet to detect the file's encoding.
import chardet
File='arq.GeoJson'
enc=chardet.detect(open(File,'rb').read())['encoding']
with open(File,'r', encoding = enc) as f:
data=json.load(f)
f.close()
This avoids 'to kick' the encoding.

Python - SQLite to CSV Writer Error - ASCII values not parsed

Afternoon,
I am having some trouble with a SQLite to CSV python script. I have searched high and I have searched low for an answer but none have worked for me, or I am having a problem with my syntax.
I want to replace characters within the SQLite database which fall outside of the ASCII table (larger than 128).
Here is the script I have been using:
#!/opt/local/bin/python
import sqlite3
import csv, codecs, cStringIO
class UnicodeWriter:
"""
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 output to a queue
self.queue = cStringIO.StringIO()
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
self.stream = f
self.encoder = codecs.getincrementalencoder(encoding)()
def writerow(self, row):
self.writer.writerow([unicode(s).encode("utf-8") for s in row])
# Fetch UTF-8 output from the queue ...
data = self.queue.getvalue()
data = data.decode("utf-8")
# ... and reencode it into the target encoding
data = self.encoder.encode(data)
# write to the target stream
self.stream.write(data)
# empty queue
self.queue.truncate(0)
def writerows(self, rows):
for row in rows:
self.writerow(row)
conn = sqlite3.connect('test.db')
c = conn.cursor()
# Select whichever rows you want in whatever order you like
c.execute('select ROWID, Name, Type, PID from PID')
writer = UnicodeWriter(open("ProductListing.csv", "wb"))
# Make sure the list of column headers you pass in are in the same order as your SELECT
writer.writerow(["ROWID", "Product Name", "Product Type", "PID", ])
writer.writerows(c)
I have tried to add the 'replace' as indicated here but have got the same error. Python: Convert Unicode to ASCII without errors for CSV file
The error is the UnicodeDecodeError.
Traceback (most recent call last):
File "SQLite2CSV1.py", line 53, in <module>
writer.writerows(c)
File "SQLite2CSV1.py", line 32, in writerows
self.writerow(row)
File "SQLite2CSV1.py", line 19, in writerow
self.writer.writerow([unicode(s).encode("utf-8") for s in row])
UnicodeDecodeError: 'ascii' codec can't decode byte 0xa0 in position 65: ordinal not in range(128)
Obviously I want the code to be robust enough that if it encounters characters outside of these bounds that it replaces it with a character such as '?' (\x3f).
Is there a way to do this within the UnicodeWriter class? And a way I can make the code robust that it won't produce these errors.
Your help is greatly appreciated.

If you just want to write an ASCII CSV, simply use the stock csv.writer(). To ensure that all values passed are indeed ASCII, use encode('ascii', errors='replace').
Example:
import csv
rows = [
[u'some', u'other', u'more'],
[u'umlaut:\u00fd', u'euro sign:\u20ac', '']
]
with open('/tmp/test.csv', 'wb') as csvFile:
writer = csv.writer(csvFile)
for row in rows:
asciifiedRow = [item.encode('ascii', errors='replace') for item in row]
print '%r --> %r' % (row, asciifiedRow)
writer.writerow(asciifiedRow)
The console output for this is:
[u'some', u'other', u'more'] --> ['some', 'other', 'more']
[u'umlaut:\xfd', u'euro sign:\u20ac', ''] --> ['umlaut:?', 'euro sign:?', '']
The resulting CSV file contains:
some,other,more
umlaut:?,euro sign:?,

With access to a unix environment, here's what worked for me
sqlite3.exe a.db .dump > a.sql;
tr -d "[\\200-\\377]" < a.sql > clean.sql;
sqlite3.exe clean.db < clean.sql;
(It's not a python solution, but maybe it will help someone else due to its brevity. This solution STRIPS OUT all non ascii characters, doesn't try to replace them.)