String formatting: % vs. .format vs. f-string literal

Assuming you’re using Python’s logging module, you can pass the string formatting arguments as arguments to the .debug() method rather than doing the formatting yourself:

log.debug("some debug info: %s", some_info)

which avoids doing the formatting unless the logger actually logs something.

% gives better performance than format from my test.

Test code:

Python 2.7.2:

import timeit
print 'format:', timeit.timeit("'{}{}{}'.format(1, 1.23, 'hello')")
print '%:', timeit.timeit("'%s%s%s' % (1, 1.23, 'hello')")

Result:

> format: 0.470329046249
> %: 0.357107877731

Python 3.5.2

import timeit
print('format:', timeit.timeit("'{}{}{}'.format(1, 1.23, 'hello')"))
print('%:', timeit.timeit("'%s%s%s' % (1, 1.23, 'hello')"))

Result

> format: 0.5864730989560485
> %: 0.013593495357781649

It looks in Python2, the difference is small whereas in Python3, % is much faster than format.

Thanks @Chris Cogdon for the sample code.

Edit 1:

Tested again in Python 3.7.2 in July 2019.

Result:

> format: 0.86600608
> %: 0.630180146

There is not much difference. I guess Python is improving gradually.

Edit 2:

After someone mentioned python 3’s f-string in comment, I did a test for the following code under python 3.7.2 :

import timeit
print('format:', timeit.timeit("'{}{}{}'.format(1, 1.23, 'hello')"))
print('%:', timeit.timeit("'%s%s%s' % (1, 1.23, 'hello')"))
print('f-string:', timeit.timeit("f'{1}{1.23}{"hello"}'"))

Result:

format: 0.8331376779999999
%: 0.6314778750000001
f-string: 0.766649943

It seems f-string is still slower than % but better than format.

Something that the modulo operator ( % ) can’t do, afaik:

tu = (12,45,22222,103,6)
print '{0} {2} {1} {2} {3} {2} {4} {2}'.format(*tu)

result

12 22222 45 22222 103 22222 6 22222

Very useful.

Another point: format(), being a function, can be used as an argument in other functions:

li = [12,45,78,784,2,69,1254,4785,984]
print map('the number is {}'.format,li)   

print

from datetime import datetime,timedelta

once_upon_a_time = datetime(2010, 7, 1, 12, 0, 0)
delta = timedelta(days=13, hours=8,  minutes=20)

gen =(once_upon_a_time +x*delta for x in xrange(20))

print 'n'.join(map('{:%Y-%m-%d %H:%M:%S}'.format, gen))

Results in:

['the number is 12', 'the number is 45', 'the number is 78', 'the number is 784', 'the number is 2', 'the number is 69', 'the number is 1254', 'the number is 4785', 'the number is 984']

2010-07-01 12:00:00
2010-07-14 20:20:00
2010-07-28 04:40:00
2010-08-10 13:00:00
2010-08-23 21:20:00
2010-09-06 05:40:00
2010-09-19 14:00:00
2010-10-02 22:20:00
2010-10-16 06:40:00
2010-10-29 15:00:00
2010-11-11 23:20:00
2010-11-25 07:40:00
2010-12-08 16:00:00
2010-12-22 00:20:00
2011-01-04 08:40:00
2011-01-17 17:00:00
2011-01-31 01:20:00
2011-02-13 09:40:00
2011-02-26 18:00:00
2011-03-12 02:20:00

PEP 3101 proposes the replacement of the % operator with the new, advanced string formatting in Python 3, where it would be the default.

But please be careful, just now I’ve discovered one issue when trying to replace all % with .format in existing code: '{}'.format(unicode_string) will try to encode unicode_string and will probably fail.

Just look at this Python interactive session log:

Python 2.7.2 (default, Aug 27 2012, 19:52:55) 
[GCC 4.1.2 20080704 (Red Hat 4.1.2-48)] on linux2
; s='й'
; u=u'й'
; s
'xd0xb9'
; u
u'u0439'

s is just a string (called ‘byte array’ in Python3) and u is a Unicode string (called ‘string’ in Python3):

; '%s' % s
'xd0xb9'
; '%s' % u
u'u0439'

When you give a Unicode object as a parameter to % operator it will produce a Unicode string even if the original string wasn’t Unicode:

; '{}'.format(s)
'xd0xb9'
; '{}'.format(u)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
UnicodeEncodeError: 'latin-1' codec can't encode character u'u0439' in position 0: ordinal not in range(256)

but the .format function will raise “UnicodeEncodeError”:

; u'{}'.format(s)
u'xd0xb9'
; u'{}'.format(u)
u'u0439'

and it will work with a Unicode argument fine only if the original string was Unicode.

; '{}'.format(u'i')
'i'

or if argument string can be converted to a string (so called ‘byte array’)

As I discovered today, the old way of formatting strings via % doesn’t support Decimal, Python’s module for decimal fixed point and floating point arithmetic, out of the box.

Example (using Python 3.3.5):

#!/usr/bin/env python3

from decimal import *

getcontext().prec = 50
d = Decimal('3.12375239e-24') # no magic number, I rather produced it by banging my head on my keyboard

print('%.50f' % d)
print('{0:.50f}'.format(d))

Output:

0.00000000000000000000000312375239000000009907464850
0.00000000000000000000000312375239000000000000000000

There surely might be work-arounds but you still might consider using the format() method right away.

As a side note, you don’t have to take a performance hit to use new style formatting with logging. You can pass any object to logging.debug, logging.info, etc. that implements the __str__ magic method. When the logging module has decided that it must emit your message object (whatever it is), it calls str(message_object) before doing so. So you could do something like this:

import logging


class NewStyleLogMessage(object):
    def __init__(self, message, *args, **kwargs):
        self.message = message
        self.args = args
        self.kwargs = kwargs

    def __str__(self):
        args = (i() if callable(i) else i for i in self.args)
        kwargs = dict((k, v() if callable(v) else v) for k, v in self.kwargs.items())

        return self.message.format(*args, **kwargs)

N = NewStyleLogMessage

# Neither one of these messages are formatted (or calculated) until they're
# needed

# Emits "Lazily formatted log entry: 123 foo" in log
logging.debug(N('Lazily formatted log entry: {0} {keyword}', 123, keyword='foo'))


def expensive_func():
    # Do something that takes a long time...
    return 'foo'

# Emits "Expensive log entry: foo" in log
logging.debug(N('Expensive log entry: {keyword}', keyword=expensive_func))

This is all described in the Python 3 documentation (https://docs.python.org/3/howto/logging-cookbook.html#formatting-styles). However, it will work with Python 2.6 as well (https://docs.python.org/2.6/library/logging.html#using-arbitrary-objects-as-messages).

One of the advantages of using this technique, other than the fact that it’s formatting-style agnostic, is that it allows for lazy values e.g. the function expensive_func above. This provides a more elegant alternative to the advice being given in the Python docs here: https://docs.python.org/2.6/library/logging.html#optimization.

Yet another advantage of .format (which I don’t see in the answers): it can take object properties.

In [12]: class A(object):
   ....:     def __init__(self, x, y):
   ....:         self.x = x
   ....:         self.y = y
   ....:         

In [13]: a = A(2,3)

In [14]: 'x is {0.x}, y is {0.y}'.format(a)
Out[14]: 'x is 2, y is 3'

Or, as a keyword argument:

In [15]: 'x is {a.x}, y is {a.y}'.format(a=a)
Out[15]: 'x is 2, y is 3'

This is not possible with % as far as I can tell.

One situation where % may help is when you are formatting regex expressions. For example,

'{type_names} [a-z]{2}'.format(type_names='triangle|square')

raises IndexError. In this situation, you can use:

'%(type_names)s [a-z]{2}' % {'type_names': 'triangle|square'}

This avoids writing the regex as '{type_names} [a-z]{{2}}'. This can be useful when you have two regexes, where one is used alone without format, but the concatenation of both is formatted.

As of Python 3.6 (2016) you can use f-strings to substitute variables:

>>> origin = "London"
>>> destination = "Paris"
>>> f"from {origin} to {destination}"
'from London to Paris'

Note the f" prefix. If you try this in Python 3.5 or earlier, you’ll get a SyntaxError.

See https://docs.python.org/3.6/reference/lexical_analysis.html#f-strings

For python version >= 3.6 (see PEP 498)

s1='albha'
s2='beta'

f'{s1}{s2:>10}'

#output
'albha      beta'

I would add that since version 3.6, we can use fstrings like the following

foo = "john"
bar = "smith"
print(f"My name is {foo} {bar}")

Which give

My name is john smith

Everything is converted to strings

mylist = ["foo", "bar"]
print(f"mylist = {mylist}")

Result:

mylist = [‘foo’, ‘bar’]

you can pass function, like in others formats method

print(f'Hello, here is the date : {time.strftime("%d/%m/%Y")}')

Giving for example

Hello, here is the date : 16/04/2018

If your python >= 3.6, F-string formatted literal is your new friend.

It’s more simple, clean, and better performance.

In [1]: params=['Hello', 'adam', 42]

In [2]: %timeit "%s %s, the answer to everything is %d."%(params[0],params[1],params[2])
448 ns ± 1.48 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)

In [3]: %timeit "{} {}, the answer to everything is {}.".format(*params)
449 ns ± 1.42 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)

In [4]: %timeit f"{params[0]} {params[1]}, the answer to everything is {params[2]}."
12.7 ns ± 0.0129 ns per loop (mean ± std. dev. of 7 runs, 100000000 loops each)

But one thing is that also if you have nested curly-braces, won’t work for format but % will work.

Example:

>>> '{{0}, {1}}'.format(1,2)
Traceback (most recent call last):
  File "<pyshell#3>", line 1, in <module>
    '{{0}, {1}}'.format(1,2)
ValueError: Single '}' encountered in format string
>>> '{%s, %s}'%(1,2)
'{1, 2}'
>>> 

Python 3.6.7 comparative:

#!/usr/bin/env python
import timeit

def time_it(fn):
    """
    Measure time of execution of a function
    """
    def wrapper(*args, **kwargs):
        t0 = timeit.default_timer()
        fn(*args, **kwargs)
        t1 = timeit.default_timer()
        print("{0:.10f} seconds".format(t1 - t0))
    return wrapper


@time_it
def new_new_format(s):
    print("new_new_format:", f"{s[0]} {s[1]} {s[2]} {s[3]} {s[4]}")


@time_it
def new_format(s):
    print("new_format:", "{0} {1} {2} {3} {4}".format(*s))


@time_it
def old_format(s):
    print("old_format:", "%s %s %s %s %s" % s)


def main():
    samples = (("uno", "dos", "tres", "cuatro", "cinco"), (1,2,3,4,5), (1.1, 2.1, 3.1, 4.1, 5.1), ("uno", 2, 3.14, "cuatro", 5.5),) 
    for s in samples:
        new_new_format(s)
        new_format(s)
        old_format(s)
        print("-----")


if __name__ == '__main__':
    main()

Output:

new_new_format: uno dos tres cuatro cinco
0.0000170280 seconds
new_format: uno dos tres cuatro cinco
0.0000046750 seconds
old_format: uno dos tres cuatro cinco
0.0000034820 seconds
-----
new_new_format: 1 2 3 4 5
0.0000043980 seconds
new_format: 1 2 3 4 5
0.0000062590 seconds
old_format: 1 2 3 4 5
0.0000041730 seconds
-----
new_new_format: 1.1 2.1 3.1 4.1 5.1
0.0000092650 seconds
new_format: 1.1 2.1 3.1 4.1 5.1
0.0000055340 seconds
old_format: 1.1 2.1 3.1 4.1 5.1
0.0000052130 seconds
-----
new_new_format: uno 2 3.14 cuatro 5.5
0.0000053380 seconds
new_format: uno 2 3.14 cuatro 5.5
0.0000047570 seconds
old_format: uno 2 3.14 cuatro 5.5
0.0000045320 seconds
-----