I have a very simple piece of code that's converting a csv....also do note i reference notepad++ a few times but my standard IDE is vs-code.
with codecs.open(filePath, "r", encoding = "UTF-8") as sourcefile:
lines = sourcefile.read()
with codecs.open(filePath, 'w', encoding = 'cp1252') as targetfile:
targetfile.write(lines)
Now the job I'm doing requires a specific file be encoded to windows-1252 and from what i understand cp1252=windows-1252. Now this conversion works fine when i do it using the UI features in notepad++, but when i try using python codecs to encode this file it fails;
UnicodeEncodeError: 'charmap' codec can't encode character '\ufffd' in position 561488: character maps to <undefined>
When i saw this failure i was confused, so i double checked the output from when i manually convert the file using notepad++, and the converted file is encoded in windows-1252.....so what gives? Why can a UI feature in notepad++ able to do the job when but codecs seems not not be able to? Does notepad++ just ignore errors?
Looks like your input text has the character "�" (the actual placeholder "replacement character" character, not some other undefined character), which cannot be mapped to cp1252 (because it doesn't have the concept).
Depending on what you need, you can:
Filter it out (or replace it, or otherwise handle it) in Python before writing out lines to the output file.
Pass errors=... to the second codecs.open, choosing one of the other error-handling modes; the default is 'strict', you can also use 'ignore', 'replace', 'xmlcharrefreplace', 'backslashreplace' or 'namereplace'.
Check the input file and see why it's got the "�" character; is it corrupted?
Probably Python is simply more explicit in its error handling. If Notepad++ managed to represent every character correctly in CP-1252 then there is a bug in the Python codec where it should not fail where it currently does; but I'm guessing Notepad++ is silently replacing some characters with some other characters, and falsely claiming success.
Maybe try converting the result back to UTF-8 and compare the files byte by byte if the data is not easy to inspect manually.
Uncode U+FFFD is a reserved character which serves as a placeholder for a character which cannot be represented in Unicode; often, it's an indication of a conversion problem previously, when presumably this data was imperfectly input or converted at an earlier point in time.
(And yes, Windows-1252 is another name for Windows code page 1252.)
Why notepad++ "succeeds"
Notepad++ does not offer you to convert your file to cp1252, but to reinterpret it using this encoding. What lead to your confusion is that they are actually using the wrong term for this. This is the encoding menu in the program:
When "Encode with cp1252" is selected, Notepad decodes the file using cp1252 and shows you the result. If you save the character '\ufffd' to a file using utf8:
with open('f.txt', 'w', encoding='utf8') as f:
f.write('\ufffd')`
and use "Encode with cp1252" you'd see three characters:
That means that Notepad++ does not read the character in utf8 and then writes it in cp1252, because then you'd see exactly one character. You could achieve similar results to Notepad++ by reading the file using cp1252:
with open('f.txt', 'r', encoding='cp1252') as f:
print(f.read()) # Prints �
Notepad++ lets you actually convert to only five encodings, as you can see in the screenshot above.
What should you do
This character does not exist in the cp1252 encoding, which means you can't convert this file without losing information. Common solutions are to skip such characters or replace them with other similar characters that exist in your encoding (see encoding error handlers)
You are dealing with the "utf-8-sig" encoding -- please specify this one as the encoding argument instead of "utf-8".
There is information on it in the docs (search the page for "utf-8-sig").
To increase the reliability with which a UTF-8 encoding can be detected, Microsoft invented a variant of UTF-8 (that Python 2.5 calls "utf-8-sig") for its Notepad program: Before any of the Unicode characters is written to the file, a UTF-8 encoded BOM (which looks like this as a byte sequence: 0xef, 0xbb, 0xbf) is written. [...]
Why is the below item failing? Why does it succeed with "latin-1" codec?
o = "a test of \xe9 char" #I want this to remain a string as this is what I am receiving
v = o.decode("utf-8")
Which results in:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python27\lib\encodings\utf_8.py",
line 16, in decode
return codecs.utf_8_decode(input, errors, True) UnicodeDecodeError:
'utf8' codec can't decode byte 0xe9 in position 10: invalid continuation byte
I had the same error when I tried to open a CSV file by pandas.read_csv
method.
The solution was change the encoding to latin-1:
pd.read_csv('ml-100k/u.item', sep='|', names=m_cols , encoding='latin-1')
In binary, 0xE9 looks like 1110 1001. If you read about UTF-8 on Wikipedia, you’ll see that such a byte must be followed by two of the form 10xx xxxx. So, for example:
>>> b'\xe9\x80\x80'.decode('utf-8')
u'\u9000'
But that’s just the mechanical cause of the exception. In this case, you have a string that is almost certainly encoded in latin 1. You can see how UTF-8 and latin 1 look different:
>>> u'\xe9'.encode('utf-8')
b'\xc3\xa9'
>>> u'\xe9'.encode('latin-1')
b'\xe9'
(Note, I'm using a mix of Python 2 and 3 representation here. The input is valid in any version of Python, but your Python interpreter is unlikely to actually show both unicode and byte strings in this way.)
It is invalid UTF-8. That character is the e-acute character in ISO-Latin1, which is why it succeeds with that codeset.
If you don't know the codeset you're receiving strings in, you're in a bit of trouble. It would be best if a single codeset (hopefully UTF-8) would be chosen for your protocol/application and then you'd just reject ones that didn't decode.
If you can't do that, you'll need heuristics.
Because UTF-8 is multibyte and there is no char corresponding to your combination of \xe9 plus following space.
Why should it succeed in both utf-8 and latin-1?
Here how the same sentence should be in utf-8:
>>> o.decode('latin-1').encode("utf-8")
'a test of \xc3\xa9 char'
If this error arises when manipulating a file that was just opened, check to see if you opened it in 'rb' mode
Use this, If it shows the error of UTF-8
pd.read_csv('File_name.csv',encoding='latin-1')
utf-8 code error usually comes when the range of numeric values exceeding 0 to 127.
the reason to raise this exception is:
1)If the code point is < 128, each byte is the same as the value of the code point.
2)If the code point is 128 or greater, the Unicode string can’t be represented in this encoding. (Python raises a UnicodeEncodeError exception in this case.)
In order to to overcome this we have a set of encodings, the most widely used is "Latin-1, also known as ISO-8859-1"
So ISO-8859-1 Unicode points 0–255 are identical to the Latin-1 values, so converting to this encoding simply requires converting code points to byte values; if a code point larger than 255 is encountered, the string can’t be encoded into Latin-1
when this exception occurs when you are trying to load a data set ,try using this format
df=pd.read_csv("top50.csv",encoding='ISO-8859-1')
Add encoding technique at the end of the syntax which then accepts to load the data set.
Well this type of error comes when u are taking input a particular file or data in pandas such as :-
data=pd.read_csv('/kaggle/input/fertilizers-by-product-fao/FertilizersProduct.csv)
Then the error is displaying like this :-
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf4 in position 1: invalid continuation byte
So to avoid this type of error can be removed by adding an argument
data=pd.read_csv('/kaggle/input/fertilizers-by-product-fao/FertilizersProduct.csv', encoding='ISO-8859-1')
This happened to me also, while i was reading text containing Hebrew from a .txt file.
I clicked: file -> save as and I saved this file as a UTF-8 encoding
TLDR: I would recommend investigating the source of the problem in depth before switching encoders to silence the error.
I got this error as I was processing a large number of zip files with additional zip files in them.
My workflow was the following:
Read zip
Read child zip
Read text from child zip
At some point I was hitting the encoding error above. Upon closer inspection, it turned out that some child zips erroneously contained further zips. Reading these zips as text lead to some funky character representation that I could silence with encoding="latin-1", but which in turn caused issues further down the line. Since I was working with international data it was not completely foolish to assume it was an encoding problem (I had problems with 0xc2: Â), but in the end it was not the actual issue.
In this case, I tried to execute a .py which active a path/file.sql.
My solution was to modify the codification of the file.sql to "UTF-8 without BOM" and it works!
You can do it with Notepad++.
i will leave a part of my code.
con = psycopg2.connect(host = sys.argv[1],
port = sys.argv[2],dbname = sys.argv[3],user = sys.argv[4], password = sys.argv[5])
cursor = con.cursor()
sqlfile = open(path, 'r')
I encountered this problem, and it turned out that I had saved my CSV directly from a google sheets file. In other words, I was in a google sheet file. I chose, save a copy, and then when my browser downloaded it, I chose Open. Then, I DIRECTLY saved the CSV. This was the wrong move.
What fixed it for me was first saving the sheet as an .xlsx file on my local computer, and from there exporting single sheet as .csv. Then the error went away for pd.read_csv('myfile.csv')
The solution was change to "UTF-8 sin BOM"
as3:~/ngokevin-site# nano content/blog/20140114_test-chinese.mkd
as3:~/ngokevin-site# wok
Traceback (most recent call last):
File "/usr/local/bin/wok", line 4, in
Engine()
File "/usr/local/lib/python2.7/site-packages/wok/engine.py", line 104, in init
self.load_pages()
File "/usr/local/lib/python2.7/site-packages/wok/engine.py", line 238, in load_pages
p = Page.from_file(os.path.join(root, f), self.options, self, renderer)
File "/usr/local/lib/python2.7/site-packages/wok/page.py", line 111, in from_file
page.meta['content'] = page.renderer.render(page.original)
File "/usr/local/lib/python2.7/site-packages/wok/renderers.py", line 46, in render
return markdown(plain, Markdown.plugins)
File "/usr/local/lib/python2.7/site-packages/markdown/init.py", line 419, in markdown
return md.convert(text)
File "/usr/local/lib/python2.7/site-packages/markdown/init.py", line 281, in convert
source = unicode(source)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xe8 in position 1: ordinal not in range(128). -- Note: Markdown only accepts unicode input!
How to fix it?
In some other python-based static blog apps, Chinese post can be published successfully.
Such as this app: http://github.com/vrypan/bucket3. In my site http://bc3.brite.biz/, Chinese post can be published successfully.
tl;dr / quick fix
Don't decode/encode willy nilly
Don't assume your strings are UTF-8 encoded
Try to convert strings to Unicode strings as soon as possible in your code
Fix your locale: How to solve UnicodeDecodeError in Python 3.6?
Don't be tempted to use quick reload hacks
Unicode Zen in Python 2.x - The Long Version
Without seeing the source it's difficult to know the root cause, so I'll have to speak generally.
UnicodeDecodeError: 'ascii' codec can't decode byte generally happens when you try to convert a Python 2.x str that contains non-ASCII to a Unicode string without specifying the encoding of the original string.
In brief, Unicode strings are an entirely separate type of Python string that does not contain any encoding. They only hold Unicode point codes and therefore can hold any Unicode point from across the entire spectrum. Strings contain encoded text, beit UTF-8, UTF-16, ISO-8895-1, GBK, Big5 etc. Strings are decoded to Unicode and Unicodes are encoded to strings. Files and text data are always transferred in encoded strings.
The Markdown module authors probably use unicode() (where the exception is thrown) as a quality gate to the rest of the code - it will convert ASCII or re-wrap existing Unicodes strings to a new Unicode string. The Markdown authors can't know the encoding of the incoming string so will rely on you to decode strings to Unicode strings before passing to Markdown.
Unicode strings can be declared in your code using the u prefix to strings. E.g.
>>> my_u = u'my ünicôdé strįng'
>>> type(my_u)
<type 'unicode'>
Unicode strings may also come from file, databases and network modules. When this happens, you don't need to worry about the encoding.
Gotchas
Conversion from str to Unicode can happen even when you don't explicitly call unicode().
The following scenarios cause UnicodeDecodeError exceptions:
# Explicit conversion without encoding
unicode('€')
# New style format string into Unicode string
# Python will try to convert value string to Unicode first
u"The currency is: {}".format('€')
# Old style format string into Unicode string
# Python will try to convert value string to Unicode first
u'The currency is: %s' % '€'
# Append string to Unicode
# Python will try to convert string to Unicode first
u'The currency is: ' + '€'
Examples
In the following diagram, you can see how the word café has been encoded in either "UTF-8" or "Cp1252" encoding depending on the terminal type. In both examples, caf is just regular ascii. In UTF-8, é is encoded using two bytes. In "Cp1252", é is 0xE9 (which is also happens to be the Unicode point value (it's no coincidence)). The correct decode() is invoked and conversion to a Python Unicode is successfull:
In this diagram, decode() is called with ascii (which is the same as calling unicode() without an encoding given). As ASCII can't contain bytes greater than 0x7F, this will throw a UnicodeDecodeError exception:
The Unicode Sandwich
It's good practice to form a Unicode sandwich in your code, where you decode all incoming data to Unicode strings, work with Unicodes, then encode to strs on the way out. This saves you from worrying about the encoding of strings in the middle of your code.
Input / Decode
Source code
If you need to bake non-ASCII into your source code, just create Unicode strings by prefixing the string with a u. E.g.
u'Zürich'
To allow Python to decode your source code, you will need to add an encoding header to match the actual encoding of your file. For example, if your file was encoded as 'UTF-8', you would use:
# encoding: utf-8
This is only necessary when you have non-ASCII in your source code.
Files
Usually non-ASCII data is received from a file. The io module provides a TextWrapper that decodes your file on the fly, using a given encoding. You must use the correct encoding for the file - it can't be easily guessed. For example, for a UTF-8 file:
import io
with io.open("my_utf8_file.txt", "r", encoding="utf-8") as my_file:
my_unicode_string = my_file.read()
my_unicode_string would then be suitable for passing to Markdown. If a UnicodeDecodeError from the read() line, then you've probably used the wrong encoding value.
CSV Files
The Python 2.7 CSV module does not support non-ASCII characters 😩. Help is at hand, however, with https://pypi.python.org/pypi/backports.csv.
Use it like above but pass the opened file to it:
from backports import csv
import io
with io.open("my_utf8_file.txt", "r", encoding="utf-8") as my_file:
for row in csv.reader(my_file):
yield row
Databases
Most Python database drivers can return data in Unicode, but usually require a little configuration. Always use Unicode strings for SQL queries.
MySQL
In the connection string add:
charset='utf8',
use_unicode=True
E.g.
>>> db = MySQLdb.connect(host="localhost", user='root', passwd='passwd', db='sandbox', use_unicode=True, charset="utf8")
PostgreSQL
Add:
psycopg2.extensions.register_type(psycopg2.extensions.UNICODE)
psycopg2.extensions.register_type(psycopg2.extensions.UNICODEARRAY)
HTTP
Web pages can be encoded in just about any encoding. The Content-type header should contain a charset field to hint at the encoding. The content can then be decoded manually against this value. Alternatively, Python-Requests returns Unicodes in response.text.
Manually
If you must decode strings manually, you can simply do my_string.decode(encoding), where encoding is the appropriate encoding. Python 2.x supported codecs are given here: Standard Encodings. Again, if you get UnicodeDecodeError then you've probably got the wrong encoding.
The meat of the sandwich
Work with Unicodes as you would normal strs.
Output
stdout / printing
print writes through the stdout stream. Python tries to configure an encoder on stdout so that Unicodes are encoded to the console's encoding. For example, if a Linux shell's locale is en_GB.UTF-8, the output will be encoded to UTF-8. On Windows, you will be limited to an 8bit code page.
An incorrectly configured console, such as corrupt locale, can lead to unexpected print errors. PYTHONIOENCODING environment variable can force the encoding for stdout.
Files
Just like input, io.open can be used to transparently convert Unicodes to encoded byte strings.
Database
The same configuration for reading will allow Unicodes to be written directly.
Python 3
Python 3 is no more Unicode capable than Python 2.x is, however it is slightly less confused on the topic. E.g the regular str is now a Unicode string and the old str is now bytes.
The default encoding is UTF-8, so if you .decode() a byte string without giving an encoding, Python 3 uses UTF-8 encoding. This probably fixes 50% of people's Unicode problems.
Further, open() operates in text mode by default, so returns decoded str (Unicode ones). The encoding is derived from your locale, which tends to be UTF-8 on Un*x systems or an 8-bit code page, such as windows-1251, on Windows boxes.
Why you shouldn't use sys.setdefaultencoding('utf8')
It's a nasty hack (there's a reason you have to use reload) that will only mask problems and hinder your migration to Python 3.x. Understand the problem, fix the root cause and enjoy Unicode zen.
See Why should we NOT use sys.setdefaultencoding("utf-8") in a py script? for further details
Finally I got it:
as3:/usr/local/lib/python2.7/site-packages# cat sitecustomize.py
# encoding=utf8
import sys
reload(sys)
sys.setdefaultencoding('utf8')
Let me check:
as3:~/ngokevin-site# python
Python 2.7.6 (default, Dec 6 2013, 14:49:02)
[GCC 4.4.5] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> reload(sys)
<module 'sys' (built-in)>
>>> sys.getdefaultencoding()
'utf8'
>>>
The above shows the default encoding of python is utf8. Then the error is no more.
This is the classic "unicode issue". I believe that explaining this is beyond the scope of a StackOverflow answer to completely explain what is happening.
It is well explained here.
In very brief summary, you have passed something that is being interpreted as a string of bytes to something that needs to decode it into Unicode characters, but the default codec (ascii) is failing.
The presentation I pointed you to provides advice for avoiding this. Make your code a "unicode sandwich". In Python 2, the use of from __future__ import unicode_literals helps.
Update: how can the code be fixed:
OK - in your variable "source" you have some bytes. It is not clear from your question how they got in there - maybe you read them from a web form? In any case, they are not encoded with ascii, but python is trying to convert them to unicode assuming that they are. You need to explicitly tell it what the encoding is. This means that you need to know what the encoding is! That is not always easy, and it depends entirely on where this string came from. You could experiment with some common encodings - for example UTF-8. You tell unicode() the encoding as a second parameter:
source = unicode(source, 'utf-8')
In some cases, when you check your default encoding (print sys.getdefaultencoding()), it returns that you are using ASCII. If you change to UTF-8, it doesn't work, depending on the content of your variable.
I found another way:
import sys
reload(sys)
sys.setdefaultencoding('Cp1252')
I was searching to solve the following error message:
unicodedecodeerror: 'ascii' codec can't decode byte 0xe2 in position 5454: ordinal not in range(128)
I finally got it fixed by specifying 'encoding':
f = open('../glove/glove.6B.100d.txt', encoding="utf-8")
Wish it could help you too.
"UnicodeDecodeError: 'ascii' codec can't decode byte"
Cause of this error: input_string must be unicode but str was given
"TypeError: Decoding Unicode is not supported"
Cause of this error: trying to convert unicode input_string into unicode
So first check that your input_string is str and convert to unicode if necessary:
if isinstance(input_string, str):
input_string = unicode(input_string, 'utf-8')
Secondly, the above just changes the type but does not remove non ascii characters. If you want to remove non-ascii characters:
if isinstance(input_string, str):
input_string = input_string.decode('ascii', 'ignore').encode('ascii') #note: this removes the character and encodes back to string.
elif isinstance(input_string, unicode):
input_string = input_string.encode('ascii', 'ignore')
In order to resolve this on an operating system level in an Ubuntu installation check the following:
$ locale charmap
If you get
locale: Cannot set LC_CTYPE to default locale: No such file or directory
instead of
UTF-8
then set LC_CTYPE and LC_ALL like this:
$ export LC_ALL="en_US.UTF-8"
$ export LC_CTYPE="en_US.UTF-8"
I find the best is to always convert to unicode - but this is difficult to achieve because in practice you'd have to check and convert every argument to every function and method you ever write that includes some form of string processing.
So I came up with the following approach to either guarantee unicodes or byte strings, from either input. In short, include and use the following lambdas:
# guarantee unicode string
_u = lambda t: t.decode('UTF-8', 'replace') if isinstance(t, str) else t
_uu = lambda *tt: tuple(_u(t) for t in tt)
# guarantee byte string in UTF8 encoding
_u8 = lambda t: t.encode('UTF-8', 'replace') if isinstance(t, unicode) else t
_uu8 = lambda *tt: tuple(_u8(t) for t in tt)
Examples:
text='Some string with codes > 127, like Zürich'
utext=u'Some string with codes > 127, like Zürich'
print "==> with _u, _uu"
print _u(text), type(_u(text))
print _u(utext), type(_u(utext))
print _uu(text, utext), type(_uu(text, utext))
print "==> with u8, uu8"
print _u8(text), type(_u8(text))
print _u8(utext), type(_u8(utext))
print _uu8(text, utext), type(_uu8(text, utext))
# with % formatting, always use _u() and _uu()
print "Some unknown input %s" % _u(text)
print "Multiple inputs %s, %s" % _uu(text, text)
# but with string.format be sure to always work with unicode strings
print u"Also works with formats: {}".format(_u(text))
print u"Also works with formats: {},{}".format(*_uu(text, text))
# ... or use _u8 and _uu8, because string.format expects byte strings
print "Also works with formats: {}".format(_u8(text))
print "Also works with formats: {},{}".format(*_uu8(text, text))
Here's some more reasoning about this.
Got a same error and this solved my error. Thanks!
python 2 and python 3 differing in unicode handling is making pickled files quite incompatible to load. So Use python pickle's encoding argument. Link below helped me solve the similar problem when I was trying to open pickled data from my python 3.7, while my file was saved originally in python 2.x version.
https://blog.modest-destiny.com/posts/python-2-and-3-compatible-pickle-save-and-load/
I copy the load_pickle function in my script and called the load_pickle(pickle_file) while loading my input_data like this:
input_data = load_pickle("my_dataset.pkl")
The load_pickle function is here:
def load_pickle(pickle_file):
try:
with open(pickle_file, 'rb') as f:
pickle_data = pickle.load(f)
except UnicodeDecodeError as e:
with open(pickle_file, 'rb') as f:
pickle_data = pickle.load(f, encoding='latin1')
except Exception as e:
print('Unable to load data ', pickle_file, ':', e)
raise
return pickle_data
Encode converts a unicode object in to a string object. I think you are trying to encode a string object. first convert your result into unicode object and then encode that unicode object into 'utf-8'.
for example
result = yourFunction()
result.decode().encode('utf-8')
This worked for me:
file = open('docs/my_messy_doc.pdf', 'rb')
I had the same error, with URLs containing non-ascii chars (bytes with values > 128), my solution:
url = url.decode('utf8').encode('utf-8')
Note: utf-8, utf8 are simply aliases . Using only 'utf8' or 'utf-8' should work in the same way
In my case, worked for me, in Python 2.7, I suppose this assignment changed 'something' in the str internal representation--i.e., it forces the right decoding of the backed byte sequence in url and finally puts the string into a utf-8 str with all the magic in the right place.
Unicode in Python is black magic for me.
Hope useful
I had the same problem but it didn't work for Python 3. I followed this and it solved my problem:
enc = sys.getdefaultencoding()
file = open(menu, "r", encoding = enc)
You have to set the encoding when you are reading/writing the file.
I got the same problem with the string "PastelerÃa Mallorca" and I solved with:
unicode("PastelerÃa Mallorca", 'latin-1')
In short, to ensure proper unicode handling in Python 2:
use io.open for reading/writing files
use from __future__ import unicode_literals
configure other data inputs/outputs (e.g., databases, network) to use unicode
if you cannot configure outputs to utf-8, convert your output for them print(text.encode('ascii', 'replace').decode())
For explanations, see #Alastair McCormack's detailed answer.
In a Django (1.9.10)/Python 2.7.5 project I have frequent UnicodeDecodeError exceptions; mainly when I try to feed unicode strings to logging. I made a helper function for arbitrary objects to basically format to 8-bit ascii strings and replacing any characters not in the table to '?'. I think it's not the best solution but since the default encoding is ascii (and i don't want to change it) it will do:
def encode_for_logging(c, encoding='ascii'):
if isinstance(c, basestring):
return c.encode(encoding, 'replace')
elif isinstance(c, Iterable):
c_ = []
for v in c:
c_.append(encode_for_logging(v, encoding))
return c_
else:
return encode_for_logging(unicode(c))
`
This error occurs when there are some non ASCII characters in our string and we are performing any operations on that string without proper decoding.
This helped me solve my problem.
I am reading a CSV file with columns ID,Text and decoding characters in it as below:
train_df = pd.read_csv("Example.csv")
train_data = train_df.values
for i in train_data:
print("ID :" + i[0])
text = i[1].decode("utf-8",errors="ignore").strip().lower()
print("Text: " + text)
Here is my solution, just add the encoding.
with open(file, encoding='utf8') as f
And because reading glove file will take a long time, I recommend to the glove file to a numpy file. When netx time you read the embedding weights, it will save your time.
import numpy as np
from tqdm import tqdm
def load_glove(file):
"""Loads GloVe vectors in numpy array.
Args:
file (str): a path to a glove file.
Return:
dict: a dict of numpy arrays.
"""
embeddings_index = {}
with open(file, encoding='utf8') as f:
for i, line in tqdm(enumerate(f)):
values = line.split()
word = ''.join(values[:-300])
coefs = np.asarray(values[-300:], dtype='float32')
embeddings_index[word] = coefs
return embeddings_index
# EMBEDDING_PATH = '../embedding_weights/glove.840B.300d.txt'
EMBEDDING_PATH = 'glove.840B.300d.txt'
embeddings = load_glove(EMBEDDING_PATH)
np.save('glove_embeddings.npy', embeddings)
Gist link: https://gist.github.com/BrambleXu/634a844cdd3cd04bb2e3ba3c83aef227
Specify: # encoding= utf-8 at the top of your Python File, It should fix the issue
I experienced this error with Python2.7. It happened to me while trying to run many python programs, but I managed to reproduce it with this simple script:
#!/usr/bin/env python
import subprocess
import sys
result = subprocess.Popen([u'svn', u'info'])
if not callable(getattr(result, "__enter__", None)) and not callable(getattr(result, "__exit__", None)):
print("foo")
print("bar")
On success, it should print out 'foo' and 'bar', and probably an error message if you're not in a svn folder.
On failure, it should print 'UnicodeDecodeError: 'ascii' codec can't decode byte 0xc4 in position 39: ordinal not in range(128)'.
After trying to regenerate my locales and many other solutions posted in this question, I learned the error was happening because I had a special character (ĺ) encoded in my PATH environment variable. After fixing the PATH in '~/.bashrc', and exiting my session and entering again, (apparently sourcing '~/.bashrc' didn't work), the issue was gone.
I was simply trying to import a Chinese txt file and print out the content.
Here is the content of my txt file which i copy from the web,which is in simplified chinese :http://stock.hexun.com/2013-06-01/154742801.html
At first, i tried this out:
userinput = raw_input('Enter the name of a file')
f=open(userinput,'r')
print f.read()
f.close()
It can open the file and print but what is show is garbled.
Then i tried the following one with encoding:
#coding=UTF-8
userinput = raw_input('Enter the name of a file')
import codecs
f= codecs.open(userinput,"r","UTF-8")
str1=f.read()
print str1
f.close()
However, it show me an error message.
UnicodeEncodeError: 'cp950 codec cant't encode character u'\u76d8' in position 50:illegal mutibyte sequence.
Why is that error happened? How to solve it?
I have tried other unicode like Big5,cp950... but it still not work.
It is the terminal system you are using to display the character. Using IDLE on Windows 7 and it works fine:
>>> val = u'\u76d8'
>>> print val
盘
but if I use cmd.exe then I get your error.
Use a terminal display method that supports unicode encoding.
Python (at least before Python 3.0) knows two kinds of string: ① a byte array and ② a character array.
Characters as in ② are Unicode, the type of these kind of strings is also called unicode.
The bytes in ① (type named str in Python) can be a printable string or something else (binary data). If it's a printable string, it also can be an encoded version (e. g. UTF-8, latin-1 or similar) of a string of Unicode characters. Then several bytes can represent a single character.
In your usecase I'd propose to read the file as a list of bytes:
with open('filename.txt') as inputFile:
bytes = inputFile.read()
Then convert that byte array to a decent Unicode string by decoding it from the encoding used in the file (you will have to find that out!):
unicodeText = bytes.decode('utf-8')
Then print it:
print unicodeText
The last step depends on the capabilities of your output device (xterm, …). It may be capable of displaying Unicode characters, then everything is fine and the characters get displayed properly. But it might be incapable of Unicode, or, more likely, Python is just not well-informed about the capabilities, then you will get an error message. This also will happen if you redirect your output into a file or pipe it into a second process.
To prevent this trouble, you can convert the Unicode string into a byte-array again, choosing an encoding of your choice:
print unicodeText.encode('utf-8')
This way you will only print bytes which every terminal, output file and second process (when piping) can handle.
If input and output encoding are the same, then of course, you won't have to decode and encode anything. But since you have some trouble, most likely the encodings differ, so you will have to do these two steps.
Code page 936 is the only one that has character 0x76D8 (which encodes to 0xC5CC). You need to use gbk or cp936
with open('chinese.txt','r+b') as inputFile:
bytes = inputFile.read()
print(bytes.decode('utf8'))
JUst TRY:
f=open(userinput,'r')
print f.read().decode('gb18030').encode('u8')