笹田  洋介

笹田 洋介

1657857660

如何使用 Python Colorama 在 Python 中設置顏色格式

有沒有一種方法可以通過 Python 在控制台上打印顏色?是的,最直接的方法是使用 Python Colorama。macOS 和 Linux 有自己的內置控制台顏色代碼,這些代碼在 Windows 上不起作用。該模塊確保這些命令在 Windows 上工作,並提供自己的控制台顏色設置命令集。

什麼是色彩?

Colorama是一個 Python 模塊,在控制台中顯示彩色輸出。控制台中顯示的任何文本都可以更改其前景和背景。

macOS 和 Linux 有自己的內置控制台顏色代碼,這些代碼在 Windows 上不起作用。該模塊確保這些命令也可以在 Windows 上運行。

您可以在此處查看 Colorama 公共 GitHub 存儲庫。

設置 Colorama

從 Python 3.10 開始,這個模塊不是Python 標準庫的一部分。要手動安裝,請使用 PIP 或 Anaconda。

運行這些命令中的任何一個都將自動安裝最新版本的colorama.

PIP 安裝 (Windows)

pip install colorama

PIP 安裝 (Linux)

sudo pip3 install colorama

蟒蛇安裝

conda install -c anaconda colorama

安裝後,您可以導入colorama到您的 Python 項目中。

導入模塊

import colorama

如何使用 Python Colorama

初始化Colorama

我們的第一步是Colorama通過運行init()方法進行初始化,如下:

import colorama
colorama.init()

init()可以採用一些關鍵字參數,這裡有一個綱要:

關鍵字參數 + 默認值描述
init(autoreset = True)將此設置為True將在每行之後重置顏色和样式設置。
init(strip = None)將此設置為True將從輸出中刪除 ANSI 代碼。如果在 Windows 上或輸出被重定向,則默認行為是剝離。
 
init(convert = None)傳遞True會將輸出中的 ANSI 代碼轉換為 win32 調用。默認行為是在 Windows 上進行轉換,並且輸出到終端。
init(wrap = True)在 Windows 上,Colorama 通過替換sys.stdoutsys.stderr使用代理對象來工作,這些代理對象會覆蓋.write()執行其工作的方法。如果這種包裝給你帶來了問題,那麼可以通過傳遞來禁用它init(wrap=False)。如果 auto-reset 或 strip 或 convert 為 ,則默認行為是換行True

編寫彩色文本

以下程序演示了我們如何編寫彩色文本和背景。

from colorama import init, Fore, Back
init()
 
# Fore changes the text's foreground color
print(Fore.BLUE + "Blue Letters")
 
#Back changes the text's background color
print(Back.WHITE + "White Background")

輸出

藍色文本-白色背景

這為我們提供了白色背景上的藍色文本。

可用的控制台顏色

這些是Colorama提供的所有顏色:

  • Fore.RED
  • Fore.GREEN
  • Fore.YELLOW
  • Fore.BLUE
  • Fore.MAGENTA
  • Fore.CYAN
  • Fore.WHITE

應用粗體樣式設置

您可以使用三種文本樣式來應用該效果文本不透明度。

  • 暗淡
  • 普通的
  • 明亮的
from colorama import init, Fore, Style
init()
 
# Prints text with minimum opacity 
print(Fore.BLUE + Style.DIM + "Blue Letters")
 
# Prints text with default console opacity
print(Fore.BLUE + Style.NORMAL + "Blue Letters")
 
# Prints text with high opacity (Bold letters)
print(Fore.BLUE + Style.BRIGHT + "Blue Letters")

注意:這些設置可能並非在所有終端上都可見。

輸出

文本樣式

重置顏色/樣式設置

您可以通過簡單地傳遞來重置所有顏色和样式設置Style.RESET\_ALL()。運行此方法會將所有內容重置為默認控制台設置。

from colorama import init, Fore, Back, Style
init()
 
print(Fore.BLUE +  Back.WHITE + "Sample Text" + Style.RESET\_ALL)
print("Reset to default settings")

如果您經常使用不同的顏色設置,您可以在初始化時啟用自動重置,如下所示:

 

這將在每行執行後重置為默認設置。

輸出

示例文本重置

調整控制台字體大小

不幸的是,這是不可能的。Python 無法控制打印文本的大小。這完全取決於終端模擬器的設置。

在控制台上打印大字母的唯一方法是使用ASCII Graphics

實現閃爍控制台文本

這是一種使用Colorama.

import colorama
colorama.init()
 
text=colored("HI THERE!", color="magenta", on_color="on_cyan", attrs=["blink"])
print(text)

請注意,Windows 終端不支持閃爍文本。

清除控制台屏幕

colorama這是使用清除輸出控制台屏幕的示例。

import colorama
colorama.init()
 
print(cr.ansi.clear_screen())

其他實現控制台顏色格式的方法

Pythontermcolor

Termcolor是另一個允許控制台輸出類似顏色格式的模塊。它也是一個外部模塊。您應該使用 PIP 或 Anaconda 手動安裝。

import colorama
from termcolor import colored
 
colorama.init()
 
print(colored("red color", "red"))
print(colored("yellow color", "yellow"))
print(colored("blue color", "blue"))
print(colored("cyan color", "cyan"))
print(colored("green color", "green"))
print(colored("magenta color", "magenta"))

輸出

Python termcolor colorama

Colorama 中的常見錯誤

已滿足要求:/usr/lib/python2.7/dist-packages 中的 colorama。

確保您的標頭代碼的 Python 版本與您當前使用的版本相匹配。

如果您使用的是 Python 2,則您的標頭代碼應如下所示:

#!usr/bin/env python

Colorama 的替代品

colorama這是該模塊的替代方案的概要。還提供了他們的回購鏈接。

Pythontermcolor與 Pythoncolorama

儘管這兩個功能相互配合工作,但這裡有一些不同之處。

termcolorcolorama
termcolorANSII是一個用於在終端中輸出顏色格式 的 python 模塊。可以使用 ANSI 轉義序列的常量簡寫來完成彩色文本的跨平台打印。
僅提供控制台顯示的顏色格式。提供允許您剝離、轉換和包裝 ANSI 代碼的屬性。
它可以使用 PIP/Anaconda 安裝。不屬於標準庫它可以使用 PIP/Anaconda 安裝。不屬於標準庫

Python Colorama 的常見問題解答

如何為 Ubuntu 安裝 Colorama?

與 Linux 類似,運行:
sudo -H python3 -m pip install colorama
將為 Ubuntu OS 安裝 colorama

結論

我們已經了解瞭如何將 Python Colorama 實現為顏色格式控制台輸出。已經審查了 Colorama 的替代方案。已評估更改控制台文本外觀的樣式設置。如果您在系統控制台中處理結果,這是一個必須使用的模塊。

來源:  https ://www.pythonpool.com

#python 

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如何使用 Python Colorama 在 Python 中設置顏色格式
Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind

1602666000

How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.

Intro

In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python