search
HomeBackend DevelopmentPython TutorialPython constructs custom methods to beautify dictionary structure output

Example:

The code is as follows:

d = { "root": { "folder2": { "item2": None, "item1": None }, "folder1": { "subfolder1": { "item2": None, "item1": None }, "subfolder2": { "item3": None } } } }

The beautiful output is:

Python constructs custom methods to beautify dictionary structure output

##Observe the characteristics:

1. The keys of the same level are left aligned, that is, the indent is the same.

d = { "root": { "folder2": { "item2": None, "item1": None }, "folder1": { "subfolder1": { "item2": None, "item1": None }, "subfolder2": { "item3": None } } } }

2. Break the line after the number.

3. If value is a dictionary, that is, a nested dictionary, then the nested dictionary is at the next level, and the indent of the key at each level is different.

Idea analysis:

This is a "splicing string" problem. The elements include ""{}:,\n and space indent.
Traverse each (k, v) key-value pair, splice them together for yield, and recurse when encountering a nested dictionary, that is, recursion + yield.

Upload the code.

#coding=utf-8 
def pretty_dict(obj, indent=' '): 
 def _pretty(obj, indent): 
  for i, tup in enumerate(obj.items()): 
   k, v = tup 
   #如果是字符串则拼上"" 
   if isinstance(k, basestring): k = '"%s"'% k 
   if isinstance(v, basestring): v = '"%s"'% v 
   #如果是字典则递归 
   if isinstance(v, dict): 
    v = ''.join(_pretty(v, indent + ' '* len(str(k) + ': {')))#计算下一层的indent 
   #case,根据(k,v)对在哪个位置确定拼接什么 
   if i == 0:#开头,拼左花括号 
    if len(obj) == 1: 
     yield '{%s: %s}'% (k, v) 
    else: 
     yield '{%s: %s,\n'% (k, v) 
   elif i == len(obj) - 1:#结尾,拼右花括号 
    yield '%s%s: %s}'% (indent, k, v) 
   else:#中间 
    yield '%s%s: %s,\n'% (indent, k, v) 
 print ''.join(_pretty(obj, indent)) 
 
d = { "root": { "folder2": { "item2": None, "item1": None }, "folder1": { "subfolder1": { "item2": None, "item1": None }, "subfolder2": { "item3": None } } } } 
pretty_dict(d)

For more Python construction custom methods to beautify dictionary structure output related articles, please pay attention to the PHP Chinese website!


Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python: A Deep Dive into Compilation and InterpretationPython: A Deep Dive into Compilation and InterpretationMay 12, 2025 am 12:14 AM

Pythonusesahybridmodelofcompilationandinterpretation:1)ThePythoninterpretercompilessourcecodeintoplatform-independentbytecode.2)ThePythonVirtualMachine(PVM)thenexecutesthisbytecode,balancingeaseofusewithperformance.

Is Python an interpreted or a compiled language, and why does it matter?Is Python an interpreted or a compiled language, and why does it matter?May 12, 2025 am 12:09 AM

Pythonisbothinterpretedandcompiled.1)It'scompiledtobytecodeforportabilityacrossplatforms.2)Thebytecodeistheninterpreted,allowingfordynamictypingandrapiddevelopment,thoughitmaybeslowerthanfullycompiledlanguages.

For Loop vs While Loop in Python: Key Differences ExplainedFor Loop vs While Loop in Python: Key Differences ExplainedMay 12, 2025 am 12:08 AM

Forloopsareidealwhenyouknowthenumberofiterationsinadvance,whilewhileloopsarebetterforsituationswhereyouneedtoloopuntilaconditionismet.Forloopsaremoreefficientandreadable,suitableforiteratingoversequences,whereaswhileloopsoffermorecontrolandareusefulf

For and While loops: a practical guideFor and While loops: a practical guideMay 12, 2025 am 12:07 AM

Forloopsareusedwhenthenumberofiterationsisknowninadvance,whilewhileloopsareusedwhentheiterationsdependonacondition.1)Forloopsareidealforiteratingoversequenceslikelistsorarrays.2)Whileloopsaresuitableforscenarioswheretheloopcontinuesuntilaspecificcond

Python: Is it Truly Interpreted? Debunking the MythsPython: Is it Truly Interpreted? Debunking the MythsMay 12, 2025 am 12:05 AM

Pythonisnotpurelyinterpreted;itusesahybridapproachofbytecodecompilationandruntimeinterpretation.1)Pythoncompilessourcecodeintobytecode,whichisthenexecutedbythePythonVirtualMachine(PVM).2)Thisprocessallowsforrapiddevelopmentbutcanimpactperformance,req

Python concatenate lists with same elementPython concatenate lists with same elementMay 11, 2025 am 12:08 AM

ToconcatenatelistsinPythonwiththesameelements,use:1)the operatortokeepduplicates,2)asettoremoveduplicates,or3)listcomprehensionforcontroloverduplicates,eachmethodhasdifferentperformanceandorderimplications.

Interpreted vs Compiled Languages: Python's PlaceInterpreted vs Compiled Languages: Python's PlaceMay 11, 2025 am 12:07 AM

Pythonisaninterpretedlanguage,offeringeaseofuseandflexibilitybutfacingperformancelimitationsincriticalapplications.1)InterpretedlanguageslikePythonexecuteline-by-line,allowingimmediatefeedbackandrapidprototyping.2)CompiledlanguageslikeC/C transformt

For and While loops: when do you use each in python?For and While loops: when do you use each in python?May 11, 2025 am 12:05 AM

Useforloopswhenthenumberofiterationsisknowninadvance,andwhileloopswheniterationsdependonacondition.1)Forloopsareidealforsequenceslikelistsorranges.2)Whileloopssuitscenarioswheretheloopcontinuesuntilaspecificconditionismet,usefulforuserinputsoralgorit

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools