加藤  七夏

加藤 七夏

1662358769

如何在 Python 中實現維恩圖

維恩圖是最明顯的數據可視化之一,用於說明兩個或三個數據類別或“集合”之間的重疊。John Venn 在 1800 年代後期設計了這些圖表。它們將每組數據描繪成一個圓圈,重疊表示組之間的相似程度。

你可能很容易在紙上畫出來。但是您知道您可以使用 python 編程語言將它們可視化嗎?你猜怎麼著!只需幾行代碼就可以實現。

讓我們開始吧!

維恩圖的代碼實現

可以使用 Matplotlib 庫創建維恩圖。最簡單的方法是使用 matplotlib_venn 包,這使得用更少的代碼創建維恩圖變得非常簡單。

我們需要pandas and matplotlib安裝庫,除此之外,我們還需要在命令提示符下matplotlib_venn使用安裝庫。pip install matplotlib_venn

import pandas as pd
from matplotlib import pyplot as plt
from matplotlib_venn import venn2
from matplotlib_venn import venn3

Pandas 將用於生成一些合成數據,以使用維恩圖進行繪製。通常,在構建維恩圖時,必須指定每組中的對像數量和重疊。

出於本教程的目的,我們將使用具有兩個類別的分類數據集,包括兩種不同動物的特徵:獵豹和豹子。

我們將概述這兩種動物的獨特和共同特徵。以下代碼片段將為我們生成數據集。

data = {'Cheetahs': ['Cat family','Speed','Yellow Fur','Day Animal',
                     'Black spots','Black line','Same Prey','Can not climb','Mammals','No Roar'],
        'Leopards': ['Cat family','Strength','Yellow Fur','Night Animal',
                     'Black spots','No Black line','Same Prey','Can climb','Mammals','Roar']
       }
df = pd.DataFrame(data, columns = ['Cheetahs', 'Leopards'])
print(df)

維恩圖數據集

維恩圖數據集

要創建一個包含 Cheetahs 和 Leopards 集的簡單維恩圖,我們可以調用該venn2()函數並傳入兩個值:兩種動物的特徵列表和 set_labels 的元組,即兩種動物的名稱。

plt.style.use('seaborn')
 
plt.figure(figsize=(10,10))
plt.title("Venn Diagram For Cheetahs v/s Leopards")
 
venn2([set(df['Cheetahs'].to_list()), 
       set(df['Leopards'].to_list())],
       set_labels=('Cheetahs', 'Leopards')
     )
 
plt.show()

維恩圖輸出 1

維恩圖輸出 1

如果您希望空白定義集合併使用下面的代碼傳遞集合的差異和並集的值,而不是定義數據集。

plt.style.use('seaborn')
 
plt.figure(figsize=(10,10))
plt.title("Venn Diagram For Random Sets")
 
# (Set1,Set2,Union)
venn2(subsets = (20, 10, 2), 
      set_labels = ('SET A', 'SET B'))
 
plt.show()

維恩圖輸出 2

維恩圖輸出 2

最後,讓我們嘗試為三組創建維恩圖,而不是將其限制為兩組。這裡的不同之處在於我們將使用 venn3() 函數而不是像以前那樣使用 venn2() 函數。看下面的代碼,我們取了 3 個隨機集,分佈也是隨機的。

plt.style.use('seaborn')
 
plt.figure(figsize=(10,10))
plt.title("Venn Diagram For Three Random Sets")
 
# (Set1,Set2,1n2,Set3,1n3,2n3,1n2n3)
venn3(subsets=(10, 5, 2, 8, 6, 2, 7), 
      set_labels=('Group A', 'Group B', 'Group C'))
 
plt.show()

維恩圖輸出 3

維恩圖輸出 3

鏈接:https ://www.askpython.com/python/examples/venn-diagrams-in-python

#python

What is GEEK

Buddha Community

如何在 Python 中實現維恩圖
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