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This HOWTO discusses Python support for Unicode, and explains various problems that people commonly encounter when trying to work with Unicode.
In 1968, the American Standard Code for Information Interchange, better known by its acronym ASCII, was standardized. ASCII defined numeric codes for various characters, with the numeric values running from 0 to 127. For example, the lowercase letter ‘a’ is assigned 97 as its code value.
ASCII was an American-developed standard, so it only defined unaccented characters. There was an ‘e’, but no ‘é’ or ‘Í’. This meant that languages which required accented characters couldn’t be faithfully represented in ASCII. (Actually the missing accents matter for English, too, which contains words such as ‘naïve’ and ‘café’, and some publications have house styles which require spellings such as ‘coöperate’.)
For a while people just wrote programs that didn’t display accents. I remember looking at Apple ][ BASIC programs, published in French-language publications in the mid-1980s, that had lines like these:
PRINT "FICHIER EST COMPLETE."
PRINT "CARACTERE NON ACCEPTE."
Those messages should contain accents, and they just look wrong to someone who can read French.
In the 1980s, almost all personal computers were 8-bit, meaning that bytes could hold values ranging from 0 to 255. ASCII codes only went up to 127, so some machines assigned values between 128 and 255 to accented characters. Different machines had different codes, however, which led to problems exchanging files. Eventually various commonly used sets of values for the 128–255 range emerged. Some were true standards, defined by the International Standards Organization, and some were de facto conventions that were invented by one company or another and managed to catch on.
255 characters aren’t very many. For example, you can’t fit both the accented characters used in Western Europe and the Cyrillic alphabet used for Russian into the 128–255 range because there are more than 127 such characters.
You could write files using different codes (all your Russian files in a coding system called KOI8, all your French files in a different coding system called Latin1), but what if you wanted to write a French document that quotes some Russian text? In the 1980s people began to want to solve this problem, and the Unicode standardization effort began.
Unicode started out using 16-bit characters instead of 8-bit characters. 16 bits means you have 2^16 = 65,536 distinct values available, making it possible to represent many different characters from many different alphabets; an initial goal was to have Unicode contain the alphabets for every single human language. It turns out that even 16 bits isn’t enough to meet that goal, and the modern Unicode specification uses a wider range of codes, 0 through 1,114,111 ( 0x10FFFF in base 16).
There’s a related ISO standard, ISO 10646. Unicode and ISO 10646 were originally separate efforts, but the specifications were merged with the 1.1 revision of Unicode.
(This discussion of Unicode’s history is highly simplified. I don’t think the average Python programmer needs to worry about the historical details; consult the Unicode consortium site listed in the References for more information.)
A character is the smallest possible component of a text. ‘A’, ‘B’, ‘C’, etc., are all different characters. So are ‘È’ and ‘Í’. Characters are abstractions, and vary depending on the language or context you’re talking about. For example, the symbol for ohms (Ω) is usually drawn much like the capital letter omega (Ω) in the Greek alphabet (they may even be the same in some fonts), but these are two different characters that have different meanings.
The Unicode standard describes how characters are represented by code points. A code point is an integer value, usually denoted in base 16. In the standard, a code point is written using the notation U+12CA to mean the character with value 0x12ca (4,810 decimal). The Unicode standard contains a lot of tables listing characters and their corresponding code points:
0061 'a'; LATIN SMALL LETTER A
0062 'b'; LATIN SMALL LETTER B
0063 'c'; LATIN SMALL LETTER C
...
007B '{'; LEFT CURLY BRACKET
Strictly, these definitions imply that it’s meaningless to say ‘this is character U+12CA‘. U+12CA is a code point, which represents some particular character; in this case, it represents the character ‘ETHIOPIC SYLLABLE WI’. In informal contexts, this distinction between code points and characters will sometimes be forgotten.
A character is represented on a screen or on paper by a set of graphical elements that’s called a glyph. The glyph for an uppercase A, for example, is two diagonal strokes and a horizontal stroke, though the exact details will depend on the font being used. Most Python code doesn’t need to worry about glyphs; figuring out the correct glyph to display is generally the job of a GUI toolkit or a terminal’s font renderer.
To summarize the previous section: a Unicode string is a sequence of code points, which are numbers from 0 through 0x10FFFF (1,114,111 decimal). This sequence needs to be represented as a set of bytes (meaning, values from 0 through 255) in memory. The rules for translating a Unicode string into a sequence of bytes are called an encoding.
The first encoding you might think of is an array of 32-bit integers. In this representation, the string “Python” would look like this:
P y t h o n
0x50 00 00 00 79 00 00 00 74 00 00 00 68 00 00 00 6f 00 00 00 6e 00 00 00
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
This representation is straightforward but using it presents a number of problems.
Generally people don’t use this encoding, instead choosing other encodings that are more efficient and convenient. UTF-8 is probably the most commonly supported encoding; it will be discussed below.
Encodings don’t have to handle every possible Unicode character, and most encodings don’t. The rules for converting a Unicode string into the ASCII encoding, for example, are simple; for each code point:
Latin-1, also known as ISO-8859-1, is a similar encoding. Unicode code 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.
Encodings don’t have to be simple one-to-one mappings like Latin-1. Consider IBM’s EBCDIC, which was used on IBM mainframes. Letter values weren’t in one block: ‘a’ through ‘i’ had values from 129 to 137, but ‘j’ through ‘r’ were 145 through 153. If you wanted to use EBCDIC as an encoding, you’d probably use some sort of lookup table to perform the conversion, but this is largely an internal detail.
UTF-8 is one of the most commonly used encodings. UTF stands for “Unicode Transformation Format”, and the ‘8’ means that 8-bit numbers are used in the encoding. (There are also a UTF-16 and UTF-32 encodings, but they are less frequently used than UTF-8.) UTF-8 uses the following rules:
UTF-8 has several convenient properties:
The Unicode Consortium site has character charts, a glossary, and PDF versions of the Unicode specification. Be prepared for some difficult reading. A chronology of the origin and development of Unicode is also available on the site.
To help understand the standard, Jukka Korpela has written an introductory guide to reading the Unicode character tables.
Another good introductory article was written by Joel Spolsky. If this introduction didn’t make things clear to you, you should try reading this alternate article before continuing.
Wikipedia entries are often helpful; see the entries for “character encoding” and UTF-8, for example.
Now that you’ve learned the rudiments of Unicode, we can look at Python’s Unicode features.
Since Python 3.0, the language features a str type that contain Unicode characters, meaning any string created using "unicode rocks!", 'unicode rocks!', or the triple-quoted string syntax is stored as Unicode.
To insert a non-ASCII Unicode character, e.g., any letters with accents, one can use escape sequences in their string literals as such:
>>> "\N{GREEK CAPITAL LETTER DELTA}" # Using the character name
'\u0394'
>>> "\u0394" # Using a 16-bit hex value
'\u0394'
>>> "\U00000394" # Using a 32-bit hex value
'\u0394'
In addition, one can create a string using the decode() method of bytes. This method takes an encoding argument, such as UTF-8, and optionally, an errors argument.
The errors argument specifies the response when the input string can’t be converted according to the encoding’s rules. Legal values for this argument are 'strict' (raise a UnicodeDecodeError exception), 'replace' (use U+FFFD, REPLACEMENT CHARACTER), or 'ignore' (just leave the character out of the Unicode result). The following examples show the differences:
>>> b'\x80abc'.decode("utf-8", "strict")
Traceback (most recent call last):
...
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0:
invalid start byte
>>> b'\x80abc'.decode("utf-8", "replace")
'\ufffdabc'
>>> b'\x80abc'.decode("utf-8", "ignore")
'abc'
(In this code example, the Unicode replacement character has been replaced by a question mark because it may not be displayed on some systems.)
Encodings are specified as strings containing the encoding’s name. Python 3.2 comes with roughly 100 different encodings; see the Python Library Reference at Standard Encodings for a list. Some encodings have multiple names; for example, 'latin-1', 'iso_8859_1' and '8859‘ are all synonyms for the same encoding.
One-character Unicode strings can also be created with the chr() built-in function, which takes integers and returns a Unicode string of length 1 that contains the corresponding code point. The reverse operation is the built-in ord() function that takes a one-character Unicode string and returns the code point value:
>>> chr(57344)
'\ue000'
>>> ord('\ue000')
57344
The opposite method of bytes.decode() is str.encode(), which returns a bytes representation of the Unicode string, encoded in the requested encoding. The errors parameter is the same as the parameter of the decode() method, with one additional possibility; as well as 'strict', 'ignore', and 'replace' (which in this case inserts a question mark instead of the unencodable character), you can also pass 'xmlcharrefreplace' which uses XML’s character references. The following example shows the different results:
>>> u = chr(40960) + 'abcd' + chr(1972)
>>> u.encode('utf-8')
b'\xea\x80\x80abcd\xde\xb4'
>>> u.encode('ascii')
Traceback (most recent call last):
...
UnicodeEncodeError: 'ascii' codec can't encode character '\ua000' in
position 0: ordinal not in range(128)
>>> u.encode('ascii', 'ignore')
b'abcd'
>>> u.encode('ascii', 'replace')
b'?abcd?'
>>> u.encode('ascii', 'xmlcharrefreplace')
b'ꀀabcd޴'
The low-level routines for registering and accessing the available encodings are found in the codecs module. However, the encoding and decoding functions returned by this module are usually more low-level than is comfortable, so I’m not going to describe the codecs module here. If you need to implement a completely new encoding, you’ll need to learn about the codecs module interfaces, but implementing encodings is a specialized task that also won’t be covered here. Consult the Python documentation to learn more about this module.
In Python source code, specific Unicode code points can be written using the \u escape sequence, which is followed by four hex digits giving the code point. The \U escape sequence is similar, but expects eight hex digits, not four:
>>> s = "a\xac\u1234\u20ac\U00008000"
... # ^^^^ two-digit hex escape
... # ^^^^^^ four-digit Unicode escape
... # ^^^^^^^^^^ eight-digit Unicode escape
>>> [ord(c) for c in s]
[97, 172, 4660, 8364, 32768]
Using escape sequences for code points greater than 127 is fine in small doses, but becomes an annoyance if you’re using many accented characters, as you would in a program with messages in French or some other accent-using language. You can also assemble strings using the chr() built-in function, but this is even more tedious.
Ideally, you’d want to be able to write literals in your language’s natural encoding. You could then edit Python source code with your favorite editor which would display the accented characters naturally, and have the right characters used at runtime.
Python supports writing source code in UTF-8 by default, but you can use almost any encoding if you declare the encoding being used. This is done by including a special comment as either the first or second line of the source file:
#!/usr/bin/env python
# -*- coding: latin-1 -*-
u = 'abcdé'
print(ord(u[-1]))
The syntax is inspired by Emacs’s notation for specifying variables local to a file. Emacs supports many different variables, but Python only supports ‘coding’. The -*- symbols indicate to Emacs that the comment is special; they have no significance to Python but are a convention. Python looks for coding: name or coding=name in the comment.
If you don’t include such a comment, the default encoding used will be UTF-8 as already mentioned. See also PEP 263 for more information.
The Unicode specification includes a database of information about code points. For each defined code point, the information includes the character’s name, its category, the numeric value if applicable (Unicode has characters representing the Roman numerals and fractions such as one-third and four-fifths). There are also properties related to the code point’s use in bidirectional text and other display-related properties.
The following program displays some information about several characters, and prints the numeric value of one particular character:
import unicodedata
u = chr(233) + chr(0x0bf2) + chr(3972) + chr(6000) + chr(13231)
for i, c in enumerate(u):
print(i, '%04x' % ord(c), unicodedata.category(c), end=" ")
print(unicodedata.name(c))
# Get numeric value of second character
print(unicodedata.numeric(u[1]))
When run, this prints:
0 00e9 Ll LATIN SMALL LETTER E WITH ACUTE
1 0bf2 No TAMIL NUMBER ONE THOUSAND
2 0f84 Mn TIBETAN MARK HALANTA
3 1770 Lo TAGBANWA LETTER SA
4 33af So SQUARE RAD OVER S SQUARED
1000.0
The category codes are abbreviations describing the nature of the character. These are grouped into categories such as “Letter”, “Number”, “Punctuation”, or “Symbol”, which in turn are broken up into subcategories. To take the codes from the above output, 'Ll' means ‘Letter, lowercase’, 'No' means “Number, other”, 'Mn' is “Mark, nonspacing”, and 'So' is “Symbol, other”. See <http://www.unicode.org/reports/tr44/#General_Category_Values> for a list of category codes.
The str type is described in the Python library reference at Sequence Types — str, bytes, bytearray, list, tuple, range.
The documentation for the unicodedata module.
The documentation for the codecs module.
Marc-André Lemburg gave a presentation at EuroPython 2002 titled “Python and Unicode”. A PDF version of his slides is available at <http://downloads.egenix.com/python/Unicode-EPC2002-Talk.pdf>, and is an excellent overview of the design of Python’s Unicode features (based on Python 2, where the Unicode string type is called unicode and literals start with u).
Once you’ve written some code that works with Unicode data, the next problem is input/output. How do you get Unicode strings into your program, and how do you convert Unicode into a form suitable for storage or transmission?
It’s possible that you may not need to do anything depending on your input sources and output destinations; you should check whether the libraries used in your application support Unicode natively. XML parsers often return Unicode data, for example. Many relational databases also support Unicode-valued columns and can return Unicode values from an SQL query.
Unicode data is usually converted to a particular encoding before it gets written to disk or sent over a socket. It’s possible to do all the work yourself: open a file, read an 8-bit bytes object from it, and convert the string with bytes.decode(encoding). However, the manual approach is not recommended.
One problem is the multi-byte nature of encodings; one Unicode character can be represented by several bytes. If you want to read the file in arbitrary-sized chunks (say, 1k or 4k), you need to write error-handling code to catch the case where only part of the bytes encoding a single Unicode character are read at the end of a chunk. One solution would be to read the entire file into memory and then perform the decoding, but that prevents you from working with files that are extremely large; if you need to read a 2GB file, you need 2GB of RAM. (More, really, since for at least a moment you’d need to have both the encoded string and its Unicode version in memory.)
The solution would be to use the low-level decoding interface to catch the case of partial coding sequences. The work of implementing this has already been done for you: the built-in open() function can return a file-like object that assumes the file’s contents are in a specified encoding and accepts Unicode parameters for methods such as read() and write(). This works through open()‘s encoding and errors parameters which are interpreted just like those in str.encode() and bytes.decode().
Reading Unicode from a file is therefore simple:
with open('unicode.rst', encoding='utf-8') as f:
for line in f:
print(repr(line))
It’s also possible to open files in update mode, allowing both reading and writing:
with open('test', encoding='utf-8', mode='w+') as f:
f.write('\u4500 blah blah blah\n')
f.seek(0)
print(repr(f.readline()[:1]))
The Unicode character U+FEFF is used as a byte-order mark (BOM), and is often written as the first character of a file in order to assist with autodetection of the file’s byte ordering. Some encodings, such as UTF-16, expect a BOM to be present at the start of a file; when such an encoding is used, the BOM will be automatically written as the first character and will be silently dropped when the file is read. There are variants of these encodings, such as ‘utf-16-le’ and ‘utf-16-be’ for little-endian and big-endian encodings, that specify one particular byte ordering and don’t skip the BOM.
In some areas, it is also convention to use a “BOM” at the start of UTF-8 encoded files; the name is misleading since UTF-8 is not byte-order dependent. The mark simply announces that the file is encoded in UTF-8. Use the ‘utf-8-sig’ codec to automatically skip the mark if present for reading such files.
Most of the operating systems in common use today support filenames that contain arbitrary Unicode characters. Usually this is implemented by converting the Unicode string into some encoding that varies depending on the system. For example, Mac OS X uses UTF-8 while Windows uses a configurable encoding; on Windows, Python uses the name “mbcs” to refer to whatever the currently configured encoding is. On Unix systems, there will only be a filesystem encoding if you’ve set the LANG or LC_CTYPE environment variables; if you haven’t, the default encoding is ASCII.
The sys.getfilesystemencoding() function returns the encoding to use on your current system, in case you want to do the encoding manually, but there’s not much reason to bother. When opening a file for reading or writing, you can usually just provide the Unicode string as the filename, and it will be automatically converted to the right encoding for you:
filename = 'filename\u4500abc'
with open(filename, 'w') as f:
f.write('blah\n')
Functions in the os module such as os.stat() will also accept Unicode filenames.
Function os.listdir(), which returns filenames, raises an issue: should it return the Unicode version of filenames, or should it return bytes containing the encoded versions? os.listdir() will do both, depending on whether you provided the directory path as bytes or a Unicode string. If you pass a Unicode string as the path, filenames will be decoded using the filesystem’s encoding and a list of Unicode strings will be returned, while passing a byte path will return the bytes versions of the filenames. For example, assuming the default filesystem encoding is UTF-8, running the following program:
fn = 'filename\u4500abc'
f = open(fn, 'w')
f.close()
import os
print(os.listdir(b'.'))
print(os.listdir('.'))
will produce the following output:
amk:~$ python t.py
[b'.svn', b'filename\xe4\x94\x80abc', ...]
['.svn', 'filename\u4500abc', ...]
The first list contains UTF-8-encoded filenames, and the second list contains the Unicode versions.
Note that in most occasions, the Unicode APIs should be used. The bytes APIs should only be used on systems where undecodable file names can be present, i.e. Unix systems.
This section provides some suggestions on writing software that deals with Unicode.
The most important tip is:
Software should only work with Unicode strings internally, decoding the input data as soon as possible and encoding the output only at the end.
If you attempt to write processing functions that accept both Unicode and byte strings, you will find your program vulnerable to bugs wherever you combine the two different kinds of strings. There is no automatic encoding or decoding: if you do e.g. str + bytes, a TypeError will be raised.
When using data coming from a web browser or some other untrusted source, a common technique is to check for illegal characters in a string before using the string in a generated command line or storing it in a database. If you’re doing this, be careful to check the decoded string, not the encoded bytes data; some encodings may have interesting properties, such as not being bijective or not being fully ASCII-compatible. This is especially true if the input data also specifies the encoding, since the attacker can then choose a clever way to hide malicious text in the encoded bytestream.
The PDF slides for Marc-André Lemburg’s presentation “Writing Unicode-aware Applications in Python” are available at <http://downloads.egenix.com/python/LSM2005-Developing-Unicode-aware-applications-in-Python.pdf> and discuss questions of character encodings as well as how to internationalize and localize an application. These slides cover Python 2.x only.
Thanks to the following people who have noted errors or offered suggestions on this article: Nicholas Bastin, Marius Gedminas, Kent Johnson, Ken Krugler, Marc-André Lemburg, Martin von Löwis, Chad Whitacre.