Simple positional formatting is probably the most common use-case. Use it if the order of your arguments is not likely to change and you only have very few elements you want to concatenate.

Since the elements are not represented by something as descriptive as a name this simple style should only be used to format a relatively small number of elements.

Output

one two

Output

1 2

With new style formatting it is possible (and in Python 2.6 even mandatory) to give placeholders an explicit positional index.

This allows for re-arranging the order of display without changing the arguments.

Output

two one

The new-style simple formatter calls by default the __format__() method of an object for its representation. If you just want to render the output of str(...) or repr(...) you can use the !s or !r conversion flags.

In %-style you usually use %s for the string representation but there is %r for a repr(...) conversion.

Setup

class Data(object):

    def __str__(self):
        return 'str'

    def __repr__(self):
        return 'repr'

Output

str repr

In Python 3 there exists an additional conversion flag that uses the output of repr(...) but uses ascii(...)instead.

Setup

class Data(object):

    def __repr__(self):
        return 'räpr'

Output

räpr r\xe4pr

By default values are formatted to take up only as many characters as needed to represent the content. It is however also possible to define that a value should be padded to a specific length.

Unfortunately the default alignment differs between old and new style formatting. The old style defaults to right aligned while for new style it's left.

Align right:

Output

      test

Align left:

Output

test      

Again, new style formatting surpasses the old variant by providing more control over how values are padded and aligned.

You are able to choose the padding character:

Output

test______

And also center align values:

Output

   test   

When using center alignment where the length of the string leads to an uneven split of the padding characters the extra character will be placed on the right side:

Output

 zip  

Inverse to padding it is also possible to truncate overly long values to a specific number of characters.

The number behind a . in the format specifies the precision of the output. For strings that means that the output is truncated to the specified length. In our example this would be 5 characters.

Output

xylop

It is also possible to combine truncating and padding:

Output

xylop     

Of course it is also possible to format numbers.

Integers:

Output

42

Floats:

Output

3.141593

Similar to strings numbers can also be constrained to a specific width.

Output

  42

Again similar to truncating strings the precision for floating point numbers limits the number of positions after the decimal point.

For floating points the padding value represents the length of the complete output. In the example below we want our output to have at least 6 characters with 2 after the decimal point.

Output

003.14

For integer values providing a precision doesn't make much sense and is actually forbidden in the new style (it will result in a ValueError).

Output

0042

By default only negative numbers are prefixed with a sign. This can be changed of course.

Output

+42

Use a space character to indicate that negative numbers should be prefixed with a minus symbol and a leading space should be used for positive ones.

Output

-23

Output

 42

New style formatting is also able to control the position of the sign symbol relative to the padding.

Output

-  23

Output

+  23

Both formatting styles support named placeholders.

Setup

data = {'first': 'Hodor', 'last': 'Hodor!'}

Output

Hodor Hodor!

.format() also accepts keyword arguments.

Output

Hodor Hodor!

New style formatting allows even greater flexibility in accessing nested data structures.

It supports accessing containers that support __getitem__ like for example dictionaries and lists:

Setup

person = {'first': 'Jean-Luc', 'last': 'Picard'}

Output

Jean-Luc Picard

Setup

data = [4, 8, 15, 16, 23, 42]

Output

23 42

As well as accessing attributes on objects via getattr():

Setup

class Plant(object):
    type = 'tree'

Output

tree

Both type of access can be freely mixed and arbitrarily nested:

Setup

class Plant(object):
    type = 'tree'
    kinds = [{'name': 'oak'}, {'name': 'maple'}]

Output

tree: oak

New style formatting also allows objects to control their own rendering. This for example allows datetime objects to be formatted inline:

Setup

from datetime import datetime

Output

2001-02-03 04:05

Additionally, new style formatting allows all of the components of the format to be specified dynamically using parametrization. Parametrized formats are nested expressions in braces that can appear anywhere in the parent format after the colon.

Old style formatting also supports some parametrization but is much more limited. Namely it only allows parametrization of the width and precision of the output.

Parametrized alignment and width:

Output

   test   

Parametrized precision:

Output

Gib = 2.718

Width and precision:

Output

 2.72

The nested format can be used to replace any part of the format spec, so the precision example above could be rewritten as:

Output

Gib = 2.72

The components of a date-time can be set separately:

Setup

from datetime import datetime
dt = datetime(2001, 2, 3, 4, 5)

Output

2001-02-03 04:05

The nested formats can be positional arguments. Position depends on the order of the opening curly braces:

Output

     +2.72

And of course keyword arguments can be added to the mix as before:

Output

     +2.72

The datetime example works through the use of the __format__() magic method. You can define custom format handling in your own objects by overriding this method. This gives you complete control over the format syntax used.

Setup

class HAL9000(object):

    def __format__(self, format):
        if (format == 'open-the-pod-bay-doors'):
            return "I'm afraid I can't do that."
        return 'HAL 9000'

Output

I'm afraid I can't do that.