search
HomeBackend DevelopmentPython TutorialHow to convert numbers to Chinese in python

How to convert python numbers to corresponding Chinese: 1. Use the "if-elif-else" conditional statement to convert the numbers to the corresponding Chinese, store the Chinese numbers in a list, and then use the index to obtain Corresponding Chinese numbers; 2. Use dictionary mapping to create a dictionary in which the key is a number and the value is the corresponding Chinese number. Use the "get()" method of the dictionary to obtain the corresponding Chinese number; 3. If you do not want to implement it yourself To convert numbers into corresponding Chinese logic, you can use a third-party library.

How to convert numbers to Chinese in python

The operating environment of this article: Windows 10 system, Python 3.11.4 version, Dell G3 computer.

Python can use the following methods to convert numbers into corresponding Chinese:

Method 1: Use if-elif-else conditional statements

In this method, we can use if-elif-else conditional statements to convert numbers into corresponding Chinese. First, we can store the Chinese numbers in a list and then use the index to get the corresponding Chinese numbers. The following is the code to implement this method:

def number_to_chinese(number):
    chinese_numbers = ['零', '一', '二', '三', '四', '五', '六', '七', '八', '九']
    if number < 0 or number > 9:
        return "不支持的数字范围"
    else:
        return chinese_numbers[number]

Using this method, we can convert the numbers 0-9 into the corresponding Chinese numbers. For example, if you enter the number 1, the output is 'one'.

Method 2: Use dictionary mapping

In this method, we can use a dictionary to convert numbers into corresponding Chinese. First, we can create a dictionary where the keys are numbers and the values ​​are the corresponding Chinese numbers. Then, we can use the dictionary's get() method to get the corresponding Chinese number. The following is the code to implement this method:

def number_to_chinese(number):
    chinese_numbers = {0: &#39;零&#39;, 1: &#39;一&#39;, 2: &#39;二&#39;, 3: &#39;三&#39;, 4: &#39;四&#39;, 5: &#39;五&#39;, 6: &#39;六&#39;, 7: &#39;七&#39;, 8: &#39;八&#39;, 9: &#39;九&#39;}
    return chinese_numbers.get(number, "不支持的数字")

Using this method, we can convert the numbers 0-9 into the corresponding Chinese numbers. For example, if you enter the number 2, the output will be 'two'.

Method 3: Use a third-party library

If you don’t want to implement the logic of converting numbers into corresponding Chinese by yourself, you can use a third-party library. For example, you can use the cn2an library to implement this functionality. First, you need to install the library. You can use the following command to install it:

pip install cn2an

Then, you can use the transform function of the cn2an library to convert the numbers into the corresponding Chinese. The following is the code to implement this method:

from cn2an import transform
def number_to_chinese(number):
    return transform.transform(number, &#39;源&#39;, &#39;中文&#39;)

Using this method, we can convert the number into the corresponding Chinese number. For example, if you enter the number 123, the output will be ‘one hundred and twenty-three’.

The above are three common methods for converting numbers into corresponding Chinese. You can choose the appropriate method to implement this function according to your own needs.

The above is the detailed content of How to convert numbers to Chinese in python. For more information, please follow other related articles on 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
Are Python lists dynamic arrays or linked lists under the hood?Are Python lists dynamic arrays or linked lists under the hood?May 07, 2025 am 12:16 AM

Pythonlistsareimplementedasdynamicarrays,notlinkedlists.1)Theyarestoredincontiguousmemoryblocks,whichmayrequirereallocationwhenappendingitems,impactingperformance.2)Linkedlistswouldofferefficientinsertions/deletionsbutslowerindexedaccess,leadingPytho

How do you remove elements from a Python list?How do you remove elements from a Python list?May 07, 2025 am 12:15 AM

Pythonoffersfourmainmethodstoremoveelementsfromalist:1)remove(value)removesthefirstoccurrenceofavalue,2)pop(index)removesandreturnsanelementataspecifiedindex,3)delstatementremoveselementsbyindexorslice,and4)clear()removesallitemsfromthelist.Eachmetho

What should you check if you get a 'Permission denied' error when trying to run a script?What should you check if you get a 'Permission denied' error when trying to run a script?May 07, 2025 am 12:12 AM

Toresolvea"Permissiondenied"errorwhenrunningascript,followthesesteps:1)Checkandadjustthescript'spermissionsusingchmod xmyscript.shtomakeitexecutable.2)Ensurethescriptislocatedinadirectorywhereyouhavewritepermissions,suchasyourhomedirectory.

How are arrays used in image processing with Python?How are arrays used in image processing with Python?May 07, 2025 am 12:04 AM

ArraysarecrucialinPythonimageprocessingastheyenableefficientmanipulationandanalysisofimagedata.1)ImagesareconvertedtoNumPyarrays,withgrayscaleimagesas2Darraysandcolorimagesas3Darrays.2)Arraysallowforvectorizedoperations,enablingfastadjustmentslikebri

For what types of operations are arrays significantly faster than lists?For what types of operations are arrays significantly faster than lists?May 07, 2025 am 12:01 AM

Arraysaresignificantlyfasterthanlistsforoperationsbenefitingfromdirectmemoryaccessandfixed-sizestructures.1)Accessingelements:Arraysprovideconstant-timeaccessduetocontiguousmemorystorage.2)Iteration:Arraysleveragecachelocalityforfasteriteration.3)Mem

Explain the performance differences in element-wise operations between lists and arrays.Explain the performance differences in element-wise operations between lists and arrays.May 06, 2025 am 12:15 AM

Arraysarebetterforelement-wiseoperationsduetofasteraccessandoptimizedimplementations.1)Arrayshavecontiguousmemoryfordirectaccess,enhancingperformance.2)Listsareflexiblebutslowerduetopotentialdynamicresizing.3)Forlargedatasets,arrays,especiallywithlib

How can you perform mathematical operations on entire NumPy arrays efficiently?How can you perform mathematical operations on entire NumPy arrays efficiently?May 06, 2025 am 12:15 AM

Mathematical operations of the entire array in NumPy can be efficiently implemented through vectorized operations. 1) Use simple operators such as addition (arr 2) to perform operations on arrays. 2) NumPy uses the underlying C language library, which improves the computing speed. 3) You can perform complex operations such as multiplication, division, and exponents. 4) Pay attention to broadcast operations to ensure that the array shape is compatible. 5) Using NumPy functions such as np.sum() can significantly improve performance.

How do you insert elements into a Python array?How do you insert elements into a Python array?May 06, 2025 am 12:14 AM

In Python, there are two main methods for inserting elements into a list: 1) Using the insert(index, value) method, you can insert elements at the specified index, but inserting at the beginning of a large list is inefficient; 2) Using the append(value) method, add elements at the end of the list, which is highly efficient. For large lists, it is recommended to use append() or consider using deque or NumPy arrays to optimize performance.

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 Tools

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

MantisBT

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.

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

Atom editor mac version download

Atom editor mac version download

The most popular open source editor