In Python, accumulation can be achieved using the function sum(),
Example:
numpy.sum(A)---all in the array Sum of elements, A---Array
import numpy as np a = np.array([[1,3,6],[9,5,6]]) b = np.sum(a) print(b)
numpy.sum(A, axis=1)---The sum of all elements in the array and, the sum of the elements of a row with axis=1
import numpy as np a = np.array([[1,3,6],[9,5,6]]) b = np.sum(a , axis=1) print(b)
Introduction to sum function:
Python’s own sum function (or sum function in Numpy),
When there are no parameters, add all;
axis=0, add by columns;
axis=1, add by rows;
import numpy as np #python中自带的sum print(sum([[1,2,3],[4,5,5]])) print(sum([[1,2,3],[4,5,5]],axis=0)) print(sum([[1,2,3],[4,5,5]],axis=1)) #Numpy中的sum a = np.sum([[1,2,3], [4,5,5]]) #无参 print(a) print(a.shape) a = np.sum([[1,2,3], [4,5,5]],axis=0) #axis=0, 按列相加 print(a) print(a.shape) a = np.sum([[1,2,3], [4,5,5]],axis=1) #axis=1, 按行相加 print(a) print(a.shape)
20 [5 7 8] [ 6 14] 20 () [5 7 8] (3,) [ 6 14] (2,)
For more Python related technical articles, please visit Python tutorial column to learn!
The above is the detailed content of How to do accumulation in python. For more information, please follow other related articles on the PHP Chinese website!

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

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.

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 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.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Atom editor mac version download
The most popular open source editor

Dreamweaver CS6
Visual web development tools

Dreamweaver Mac version
Visual web development tools