


Comparison between chr, unichr, ord character functions in Python
chr, unichr, and ord can all be used for character type conversion in Python. Here we will briefly talk about the comparison between chr, unichr, and ord character functions in Python. Friends who need it can refer to it
ord is the abbreviation of unicode ordinal, that is, the number
chr is the abbreviation of character, that is, the character
ord and chr are converted correspondingly to each other.
But since chr is limited to ascii, the length is only 256, so there is one more unichr.
>>c = u'康' >>c u'\u5eb7' >>ord(c) 24747 >>chr(24247) ValueError: chr() arg not in range(256) >>unichr(24247) u'\u5eb7'
The chr() function takes an integer in the range (256) (that is, 0 to 255) as a parameter and returns a corresponding character. unichr() is the same, except that it returns Unicode characters. The parameter range of unichr(), which was added from Python 2.0, depends on how your Python was compiled. If it is Unicode configured as USC2, then its allowed range is range (65536) or 0x0000-0xFFFF; if it is configured as UCS4, then this value should be range (1114112) or 0x000000-0x110000. If the provided parameters are not within the allowed range, a ValueError exception will be reported.
The ord() function is the paired function of the chr() function (for 8-bit ASCII strings) or the unichr() function (for Unicode objects). It takes one character (a string of length 1) as a parameter, Returns the corresponding ASCII value, or Unicode value. If the given Unicode character exceeds your Python definition range, a TypeError exception will be raised.
>>> chr(65) 'A' >>> ord('a') 97 >>> unichr(12345) u'\u3039' >>> chr(12345) Traceback (most recent call last): File "<stdin>", line 1, in ? chr(12345) ValueError: chr() arg not in range(256) >>> ord(u'\ufffff') Traceback (most recent call last): File "<stdin>", line 1, in ? ord(u'\ufffff') TypeError: ord() expected a character, but string of length 2 found >>> ord(u'\u2345') 9029
Please pay attention to more related articles about the comparison between chr, unichr, ord character functions in Python PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.
