pprint
— Data pretty printer¶
Source code: Lib/pprint.py
The pprint
module provides a capability to „pretty-print” arbitrary
Python data structures in a form which can be used as input to the interpreter.
If the formatted structures include objects which are not fundamental Python
types, the representation may not be loadable. This may be the case if objects
such as files, sockets or classes are included, as well as many other
objects which are not representable as Python literals.
The formatted representation keeps objects on a single line if it can, and
breaks them onto multiple lines if they don’t fit within the allowed width.
Construct PrettyPrinter
objects explicitly if you need to adjust the
width constraint.
Dictionaries are sorted by key before the display is computed.
The pprint
module defines one class:
-
class
pprint.
PrettyPrinter
(indent=1, width=80, depth=None, stream=None, *, compact=False, sort_dicts=True)¶ Construct a
PrettyPrinter
instance. This constructor understands several keyword parameters. An output stream may be set using the stream keyword; the only method used on the stream object is the file protocol’swrite()
method. If not specified, thePrettyPrinter
adoptssys.stdout
. The amount of indentation added for each recursive level is specified by indent; the default is one. Other values can cause output to look a little odd, but can make nesting easier to spot. The number of levels which may be printed is controlled by depth; if the data structure being printed is too deep, the next contained level is replaced by...
. By default, there is no constraint on the depth of the objects being formatted. The desired output width is constrained using the width parameter; the default is 80 characters. If a structure cannot be formatted within the constrained width, a best effort will be made. If compact is false (the default) each item of a long sequence will be formatted on a separate line. If compact is true, as many items as will fit within the width will be formatted on each output line. If sort_dicts is true (the default), dictionaries will be formatted with their keys sorted, otherwise they will display in insertion order.Zmienione w wersji 3.4: Added the compact parameter.
Zmienione w wersji 3.8: Added the sort_dicts parameter.
>>> import pprint >>> stuff = ['spam', 'eggs', 'lumberjack', 'knights', 'ni'] >>> stuff.insert(0, stuff[:]) >>> pp = pprint.PrettyPrinter(indent=4) >>> pp.pprint(stuff) [ ['spam', 'eggs', 'lumberjack', 'knights', 'ni'], 'spam', 'eggs', 'lumberjack', 'knights', 'ni'] >>> pp = pprint.PrettyPrinter(width=41, compact=True) >>> pp.pprint(stuff) [['spam', 'eggs', 'lumberjack', 'knights', 'ni'], 'spam', 'eggs', 'lumberjack', 'knights', 'ni'] >>> tup = ('spam', ('eggs', ('lumberjack', ('knights', ('ni', ('dead', ... ('parrot', ('fresh fruit',)))))))) >>> pp = pprint.PrettyPrinter(depth=6) >>> pp.pprint(tup) ('spam', ('eggs', ('lumberjack', ('knights', ('ni', ('dead', (...)))))))
The pprint
module also provides several shortcut functions:
-
pprint.
pformat
(object, indent=1, width=80, depth=None, *, compact=False, sort_dicts=True)¶ Return the formatted representation of object as a string. indent, width, depth, compact and sort_dicts will be passed to the
PrettyPrinter
constructor as formatting parameters.Zmienione w wersji 3.4: Added the compact parameter.
Zmienione w wersji 3.8: Added the sort_dicts parameter.
-
pprint.
pp
(object, *args, sort_dicts=False, **kwargs)¶ Prints the formatted representation of object followed by a newline. If sort_dicts is false (the default), dictionaries will be displayed with their keys in insertion order, otherwise the dict keys will be sorted. args and kwargs will be passed to
pprint()
as formatting parameters.Nowe w wersji 3.8.
-
pprint.
pprint
(object, stream=None, indent=1, width=80, depth=None, *, compact=False, sort_dicts=True)¶ Prints the formatted representation of object on stream, followed by a newline. If stream is
None
,sys.stdout
is used. This may be used in the interactive interpreter instead of theprint()
function for inspecting values (you can even reassignprint = pprint.pprint
for use within a scope). indent, width, depth, compact and sort_dicts will be passed to thePrettyPrinter
constructor as formatting parameters.Zmienione w wersji 3.4: Added the compact parameter.
Zmienione w wersji 3.8: Added the sort_dicts parameter.
>>> import pprint >>> stuff = ['spam', 'eggs', 'lumberjack', 'knights', 'ni'] >>> stuff.insert(0, stuff) >>> pprint.pprint(stuff) [<Recursion on list with id=...>, 'spam', 'eggs', 'lumberjack', 'knights', 'ni']
-
pprint.
isreadable
(object)¶ Determine if the formatted representation of object is „readable”, or can be used to reconstruct the value using
eval()
. This always returnsFalse
for recursive objects.>>> pprint.isreadable(stuff) False
-
pprint.
isrecursive
(object)¶ Determine if object requires a recursive representation.
One more support function is also defined:
-
pprint.
saferepr
(object)¶ Return a string representation of object, protected against recursive data structures. If the representation of object exposes a recursive entry, the recursive reference will be represented as
<Recursion on typename with id=number>
. The representation is not otherwise formatted.>>> pprint.saferepr(stuff) "[<Recursion on list with id=...>, 'spam', 'eggs', 'lumberjack', 'knights', 'ni']"
PrettyPrinter Objects¶
PrettyPrinter
instances have the following methods:
-
PrettyPrinter.
pformat
(object)¶ Return the formatted representation of object. This takes into account the options passed to the
PrettyPrinter
constructor.
-
PrettyPrinter.
pprint
(object)¶ Print the formatted representation of object on the configured stream, followed by a newline.
The following methods provide the implementations for the corresponding
functions of the same names. Using these methods on an instance is slightly
more efficient since new PrettyPrinter
objects don’t need to be
created.
-
PrettyPrinter.
isreadable
(object)¶ Determine if the formatted representation of the object is „readable,” or can be used to reconstruct the value using
eval()
. Note that this returnsFalse
for recursive objects. If the depth parameter of thePrettyPrinter
is set and the object is deeper than allowed, this returnsFalse
.
-
PrettyPrinter.
isrecursive
(object)¶ Determine if the object requires a recursive representation.
This method is provided as a hook to allow subclasses to modify the way objects
are converted to strings. The default implementation uses the internals of the
saferepr()
implementation.
-
PrettyPrinter.
format
(object, context, maxlevels, level)¶ Returns three values: the formatted version of object as a string, a flag indicating whether the result is readable, and a flag indicating whether recursion was detected. The first argument is the object to be presented. The second is a dictionary which contains the
id()
of objects that are part of the current presentation context (direct and indirect containers for object that are affecting the presentation) as the keys; if an object needs to be presented which is already represented in context, the third return value should beTrue
. Recursive calls to theformat()
method should add additional entries for containers to this dictionary. The third argument, maxlevels, gives the requested limit to recursion; this will be0
if there is no requested limit. This argument should be passed unmodified to recursive calls. The fourth argument, level, gives the current level; recursive calls should be passed a value less than that of the current call.
Example¶
To demonstrate several uses of the pprint()
function and its parameters,
let’s fetch information about a project from PyPI:
>>> import json
>>> import pprint
>>> from urllib.request import urlopen
>>> with urlopen('https://pypi.org/pypi/sampleproject/json') as resp:
... project_info = json.load(resp)['info']
In its basic form, pprint()
shows the whole object:
>>> pprint.pprint(project_info)
{'author': 'The Python Packaging Authority',
'author_email': 'pypa-dev@googlegroups.com',
'bugtrack_url': None,
'classifiers': ['Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Topic :: Software Development :: Build Tools'],
'description': 'A sample Python project\n'
'=======================\n'
'\n'
'This is the description file for the project.\n'
'\n'
'The file should use UTF-8 encoding and be written using '
'ReStructured Text. It\n'
'will be used to generate the project webpage on PyPI, and '
'should be written for\n'
'that purpose.\n'
'\n'
'Typical contents for this file would include an overview of '
'the project, basic\n'
'usage examples, etc. Generally, including the project '
'changelog in here is not\n'
'a good idea, although a simple "What\'s New" section for the '
'most recent version\n'
'may be appropriate.',
'description_content_type': None,
'docs_url': None,
'download_url': 'UNKNOWN',
'downloads': {'last_day': -1, 'last_month': -1, 'last_week': -1},
'home_page': 'https://github.com/pypa/sampleproject',
'keywords': 'sample setuptools development',
'license': 'MIT',
'maintainer': None,
'maintainer_email': None,
'name': 'sampleproject',
'package_url': 'https://pypi.org/project/sampleproject/',
'platform': 'UNKNOWN',
'project_url': 'https://pypi.org/project/sampleproject/',
'project_urls': {'Download': 'UNKNOWN',
'Homepage': 'https://github.com/pypa/sampleproject'},
'release_url': 'https://pypi.org/project/sampleproject/1.2.0/',
'requires_dist': None,
'requires_python': None,
'summary': 'A sample Python project',
'version': '1.2.0'}
The result can be limited to a certain depth (ellipsis is used for deeper contents):
>>> pprint.pprint(project_info, depth=1)
{'author': 'The Python Packaging Authority',
'author_email': 'pypa-dev@googlegroups.com',
'bugtrack_url': None,
'classifiers': [...],
'description': 'A sample Python project\n'
'=======================\n'
'\n'
'This is the description file for the project.\n'
'\n'
'The file should use UTF-8 encoding and be written using '
'ReStructured Text. It\n'
'will be used to generate the project webpage on PyPI, and '
'should be written for\n'
'that purpose.\n'
'\n'
'Typical contents for this file would include an overview of '
'the project, basic\n'
'usage examples, etc. Generally, including the project '
'changelog in here is not\n'
'a good idea, although a simple "What\'s New" section for the '
'most recent version\n'
'may be appropriate.',
'description_content_type': None,
'docs_url': None,
'download_url': 'UNKNOWN',
'downloads': {...},
'home_page': 'https://github.com/pypa/sampleproject',
'keywords': 'sample setuptools development',
'license': 'MIT',
'maintainer': None,
'maintainer_email': None,
'name': 'sampleproject',
'package_url': 'https://pypi.org/project/sampleproject/',
'platform': 'UNKNOWN',
'project_url': 'https://pypi.org/project/sampleproject/',
'project_urls': {...},
'release_url': 'https://pypi.org/project/sampleproject/1.2.0/',
'requires_dist': None,
'requires_python': None,
'summary': 'A sample Python project',
'version': '1.2.0'}
Additionally, maximum character width can be suggested. If a long object cannot be split, the specified width will be exceeded:
>>> pprint.pprint(project_info, depth=1, width=60)
{'author': 'The Python Packaging Authority',
'author_email': 'pypa-dev@googlegroups.com',
'bugtrack_url': None,
'classifiers': [...],
'description': 'A sample Python project\n'
'=======================\n'
'\n'
'This is the description file for the '
'project.\n'
'\n'
'The file should use UTF-8 encoding and be '
'written using ReStructured Text. It\n'
'will be used to generate the project '
'webpage on PyPI, and should be written '
'for\n'
'that purpose.\n'
'\n'
'Typical contents for this file would '
'include an overview of the project, '
'basic\n'
'usage examples, etc. Generally, including '
'the project changelog in here is not\n'
'a good idea, although a simple "What\'s '
'New" section for the most recent version\n'
'may be appropriate.',
'description_content_type': None,
'docs_url': None,
'download_url': 'UNKNOWN',
'downloads': {...},
'home_page': 'https://github.com/pypa/sampleproject',
'keywords': 'sample setuptools development',
'license': 'MIT',
'maintainer': None,
'maintainer_email': None,
'name': 'sampleproject',
'package_url': 'https://pypi.org/project/sampleproject/',
'platform': 'UNKNOWN',
'project_url': 'https://pypi.org/project/sampleproject/',
'project_urls': {...},
'release_url': 'https://pypi.org/project/sampleproject/1.2.0/',
'requires_dist': None,
'requires_python': None,
'summary': 'A sample Python project',
'version': '1.2.0'}