


This article mainly introduces you to Python learning tips and related information about using the dictionary's default behavior. The introduction in the article is very detailed and has a certain reference for everyone. Value, friends in need come and take a look below.
This article introduces the relevant content about Python’s default behavior of using dictionaries. It is shared for everyone’s reference and learning. Let’s take a look at the detailed introduction:
Typical code 1:
from collections import defaultdict if name == 'main': data = defaultdict(int) data[0] += 1 print(data)
Output 1:
defaultdict(<type 'int'>, {0: 1})
Typical code 2:
if name == 'main': data = {'k': 1} data.setdefault('k', 100) data.setdefault('k1', -100) print(data)
Output 2:
{'k': 1, 'k1': -100}
Application scenarios:
Application scenarios of typical code 1:
When writing some statistical code, it is always necessary Count the number of some key, and use a dictionary to store the counting results. If a classic dictionary is used, then we need to manually write code every time to determine whether the corresponding key exists. If it does not exist, what will happen? It needs to be stored in this dictionary and then initialized to 0; and using defaultdictdata type, we can directly specify a factoryfunction to produce the default value for us, typically Code 1 uses the built-in int function, of course it can also be an anonymous function defined by lambdaexpression.
Application scenarios of typical code 2:
For a dictionary, if we only want to retain the value of each key specified for the first time, if we use the traditional method If data['k']='v', we need to determine whether the corresponding key already exists in the dictionary every time, and then we can decide whether the value of this key can be set; secondly, using the setdefault method of dict, we can avoid This time I decided to implement this function in a more concise way.
Benefits:
1. The setdefault method in scenario 2 has been optimized in the implementation of the Python interpreter. In general The execution efficiency is higher than the Python code with the same function written by yourself
2. These two default situations can make the code more compact, logically, and more efficient to understand when reading the code
OtherInstructions:
1. Defaultdict type, which can receive many types, built-in list , set, and dict can be used directly. Using lambda anonymous functions, you can use your own defined types
Summary
The above is the detailed content of Tips for learning Python about using the default behavior of dictionaries. For more information, please follow other related articles on the PHP Chinese website!

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

NumPyallowsforvariousoperationsonarrays:1)Basicarithmeticlikeaddition,subtraction,multiplication,anddivision;2)Advancedoperationssuchasmatrixmultiplication;3)Element-wiseoperationswithoutexplicitloops;4)Arrayindexingandslicingfordatamanipulation;5)Ag

ArraysinPython,particularlythroughNumPyandPandas,areessentialfordataanalysis,offeringspeedandefficiency.1)NumPyarraysenableefficienthandlingoflargedatasetsandcomplexoperationslikemovingaverages.2)PandasextendsNumPy'scapabilitieswithDataFramesforstruc

ListsandNumPyarraysinPythonhavedifferentmemoryfootprints:listsaremoreflexiblebutlessmemory-efficient,whileNumPyarraysareoptimizedfornumericaldata.1)Listsstorereferencestoobjects,withoverheadaround64byteson64-bitsystems.2)NumPyarraysstoredatacontiguou

ToensurePythonscriptsbehavecorrectlyacrossdevelopment,staging,andproduction,usethesestrategies:1)Environmentvariablesforsimplesettings,2)Configurationfilesforcomplexsetups,and3)Dynamicloadingforadaptability.Eachmethodoffersuniquebenefitsandrequiresca

The basic syntax for Python list slicing is list[start:stop:step]. 1.start is the first element index included, 2.stop is the first element index excluded, and 3.step determines the step size between elements. Slices are not only used to extract data, but also to modify and invert lists.

Listsoutperformarraysin:1)dynamicsizingandfrequentinsertions/deletions,2)storingheterogeneousdata,and3)memoryefficiencyforsparsedata,butmayhaveslightperformancecostsincertainoperations.

ToconvertaPythonarraytoalist,usethelist()constructororageneratorexpression.1)Importthearraymoduleandcreateanarray.2)Uselist(arr)or[xforxinarr]toconvertittoalist,consideringperformanceandmemoryefficiencyforlargedatasets.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Zend Studio 13.0.1
Powerful PHP integrated development environment

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
