User Interface

Gulp-typescript is a plugin which allows you to convert your Typescript code into JavaScript. It can serve as an alternative to TypeScript compiler.

This kandi kit for Candy Crush (one of the most popular games), has been rewritten using the Phaser HTML5 game engine along with Typescript language. AngularJs is also used for creating game directives, so they can be easily included in the angular app.

Gulp is a streaming build system which can run tasks in sequence or parallel. Gulp-typescript is a plugin which allows you to convert your Typescript code into JavaScript. It can also serve as an alternative to TypeScript compiler if you don’t want all the features it provides (like support for external modules, rich IDE support). Gulp-concat is used to concatenate files together. Gulp-clean-css is used to remove comments from your CSS code.

The most important part of building a game like Candy Crush is to have a solid workflow. We have used TypeScript, Gulp and Webpack and built a fully-functional Candy Crush game. We'll be using TypeScript, Gulp and Webpack to build a fully-functional Candy Crush game. kandi kit provides you with a fully deployable Candy Crush app. Source code included so that you can customize it for your requirement.

Troubleshooting

1. While running batch file, if you encounter Windows protection alert, select More info --> Run anyway
2. During kit installer, if you encounter Windows security alert, click Allow
3. While executing 'start http://localhost:3000 && gulp start' command, if you encounter browser-sync issue, go to default-config.js file, which will be under node_modules\browser-sync\dist directory and set property open to false without any quotes.
4. While running batch file, if you encounter npm not recognized error, re-run the batch file.
5. If you face any issues while running the candy crush app, reduce the node version to 10.24.1

For a detailed tutorial on installing & executing the solution as well as learning resources including training & certification opportunities, please visit the OpenWeaver Community

Development Environment

Visual Studio Code is a source-code editor made by Microsoft for Windows, Linux, and macOS. Features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded Git.

Runtime Environment

Node.js is an open-source, cross-platform, JavaScript runtime environment. It executes JavaScript code outside of a browser.

JavaScript Libraries

The following libraries provide flexibility to automate slow, and redundant workflows efficiently.

Support

If you need help using this kit, you may reach us at the OpenWeaver Community.

Google maps is a powerful and complex application. To integrate it into the React app “google-map-react” package is used. Any React component on Google Maps can be rendered by this package, which is a component written atop a tiny portion of the Google Maps API. It is actively maintained and simple enough to use. It is entirely isomorphic. Even without the Google Maps API being loaded, it can render map components in the browser. Every item on the map may be hovered using an internal, adjustable hover algorithm.  

Since google-map-react allows the user to render any React component on the map, a specific component can be designed that shows a pin icon and text. One can use Iconify library (a collection of free SVG icons) for the icons.  

One should be aware of a few prerequisites for the purpose:  

• JavaScript ES6  
• Searching for Location in Google Map  
• React.js library  

To know more about the integration of Google Maps, refer to the code given below. 

Fig 1: Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React library.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Open the folder in IDE.
5. Copy the code using "copy" button above and paste it in app.js file(remove the earlier code from app.js).
6. Open the terminal from IDE.
7. npm start to run the file.

Note: Create your own API KEY and paste it in the place of 'YOUR_API_KEY' in the code snippet.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "how to embed an exact place in google map in Reactjs" in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.

Using this solution, we are able to embed an place in google map with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to embed an exact place in google map in Reactjs.

Dependent Libraries

You can also search for any dependent library on kandi like 'react'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

A color picker is another application of react that enables the users to pick colors from a palette or a color wheel. In online applications, color pickers are frequently used for tasks like choosing a text color, a background color, or a color for a graphical element. React color picker components are provided by several libraries, including react-color and react-color-picker. 

• react-color-picker: This library provides components that enable the users to include a color- choosing interface in their application. 
• react-color: A wide range of color picker components, including SketchPicker, ChromePicker, and HuePicker, are included in this library. 

react-color is a more comprehensive library that includes a variety of color picker components with different styles unlike react-color-picker, which is a much simpler library, including a single-color picker component, and customization options are provided by props. There are several more props available for modifying the default color, the format of the selected color, and the layout of the color picker, among other aspects of the ColorPicker component's look and performance. 

For more information about customizing color picker in React, refer to the code given below 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and Styled-components library.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm i styled-components.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in app.js file(remove the earlier code from app.js) and refer demo for styles.css file.
7. Open the terminal from IDE.
8. npm start to run the file.

You can also refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'create color picker in react' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. Styled-components version-6.0.0.

Using this solution, we are able to customize color picker in React with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to customize color picker in React.

Dependent Library

You can also search for any dependent libraries on kandi like 'react' and 'styled-components'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

Use the react-player or video-react libraries to integrate a YouTube video into a React project. React Player allows you to embed audio and video players.

It supports various media kinds and sources, including YouTube, Vimeo, SoundCloud, and local files, and offers a straightforward, programmable interface for playing media files. Another library for playing audio and video in React applications is called Video-React. It offers comparable user experience for manipulating audio and video players in your React components and is built on top of the well-known video.js package. Like React Player, Video-react offers support for various media formats and sources.  With a large user base and vibrant developer communities, React Player and Video-react are well-liked choices for integrating audio and video features into React apps. Consider each library's features and options, the level of customization and control you require, and the compatibility and integration with other tools and libraries you are using when choosing which library to employ in your project.  

Here is an example of how you embed a YouTube video into a React project: 

Fig 1: Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and ReactPlayer libraries.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm install react-player.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in app.js file(remove the earlier code from app.js).
7. Remove the first line(import statement).
8. Import React library by using the command -> import React from 'react';
9. Import ReactPlayer library by using the command -> import ReactPlayer from 'react-player';
10. Replace ReactVideo as ReactPlayer which is present inside the div tag.
11. Open the terminal from IDE.
12. npm start to run the file.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'youtube video on react page' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. ReactPlayer version: current.

Using this solution, we are able to create an youtube video on react page with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to create an youtube video on react page.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'react' and 'react-player'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

JavaScript libraries are collections of pre-written code that can be used to create web applications. They provide functions, features, and resources.

It makes the development process faster and easier They often create dynamic, interactive experiences on websites and applications. JavaScript libraries are used for various tasks, such as DOM manipulation, AJAX requests, data analysis and visualization, client-side storage, and more. It includes Creating Interactive Tours, Enhancing Customer Experience, Creating Interactive Tutorials, and Improving User Onboarding.  

Let us look at some of these famous libraries. 

webpack

• Offers advanced features such as code-splitting, hot module replacement (HMR), tree-shaking, and dynamic loading.
• Provides plugins and loaders that can be used to customize how code is transformed and bundled.
• Allows to combine multiple modules into a single bundle.

mocha

• Provides an asynchronous testing interface.
• Supports a wide variety of testing styles with its flexible syntax.
• Allows developers to create custom test interfaces and reporters.

intro.js

• Supports auto-scroll and scroll-hijacking.
• Allows developers to create custom tours in any language.
• Provides a modern and lightweight interface, with a minimalistic design.

bower

• Supports versioning and resolution of dependencies. 
• Provides command line interface making it easy to instantly search, install, and manage packages in a project. 
• Allows to manage both front-end and back-end packages. 

grunt

• Provides wide range of plugins and third-party integrations.
• Provides built-in support for popular frameworks and libraries.
• Allows developers to easily configure and create tasks for automating common development workflows.

knockout

• Provides an easy-to-use two-way data-binding system.
• Provides a powerful templating system that makes it easy to display complex data structures. 
• Provides a declarative binding syntax that simplifies linking the data to the HTML elements on the page. 

shepherd

• Allows developers to create step-by-step product tours and walkthroughs intuitively.
• Provides options for targeting specific users, including localization and different themes.
• Supports integration with other libraries and frameworks, such as React and Vue.

mixitup

• Provides built-in support for powerful animation effects.
• Allows developers to create custom sorting and filtering rules.
• Supports integration with external API's, allowing pulling in data from other sources. 

hopscotch

• Is highly accessible, i.e., it is easy for people with disabilities to use.
• Offers comprehensive documentation, making it easy for developers to get up and running quickly.
• Is device-agnostic, meaning it works across different devices and browsers.

joyride

• Provides a built-in feature called “Progress Indicator,” which allows the user to see their progress through the tour.  
• A built-in analytics system provides valuable insights into how users interact with the tour. 
• Allows developers to easily add triggers and custom CSS to enhance the user experience. 

3D graphics are becoming increasingly important, enabling developers to build immersive and interactive user experiences.

JavaScript has evolved as a popular language for creating such events. These libraries enable a wide range of applications, including gaming, e-commerce, education, and more, and content from Three.js, widely regarded as the industry standard for browser-based 3D graphics, to Babylon.js, which provides a powerful game engine and physics system, to PlayCanvas, which enables collaborative, browser-based game development. 

Here are 8 of the best JavaScript 3D libraries 2023 developers can use for an immersive 3D experience. 

Three.js: 

• Shows 3D-printed object previews. 
• Helps create virtual concerts and events. 
• Helpful in product animations for marketing. 

Babylon.js: 

• Helps in product design and prototyping. 
• Helps do virtual makeup try-on. 
• Allows 3D printing model creation and optimization. 

cesium: 

• Helpful in real-time traffic monitoring and visualization. 
• Helps in weather and environmental monitoring. 
• Helps monitor geospatial data and provides its analysis and visualization. 

Whs.js: 

• Helps create interactive virtual art galleries. 
• Shows 3D product catalogs and configurators for fashion. 
• Helps in virtual reality amusement park rides. 

Cannon.js: 

• Helps with physics-based interactive educational videos. 
• Helps create interactive roller coaster and amusement park ride simulations. 
• Allows collaborative remote prototyping for mechanical engineering. 

Physics.js: 

• Creates interactive kinetic art installations. 
• Helps create physics-based educational games for kids. 
• Helps create interactive science museum exhibits. 

PlayCanvas-ar: 

• Helps in collaborative remote design and prototyping. 
• Helps do 3D product customization and personalization. 
• Has immersive language learning simulations. 

Turbulenz_jslib: 

• Helps in interactive educational simulations for mathematics and statistics. 
• Creates virtual reality art galleries. 
• Allows immersive virtual reality movie theaters. 

We can create any animation with suitable libraries or combinations of libraries that are well-known for their functionalities using Python Animation Libraries. For developers looking for options with less complex code with maximum customization options, users can customize their plots and designs depending on their preferences.  

Choosing a suitable library plays a key role in any machine learning or data science project, and we should do it properly to avoid other related issues which may arise. Some libraries offer an interactive plot to attract playing with the graph and visualize it uniquely. It will allow you to edit videos, create animations, and create a map or geological animations where we can analyze the geological data. 

Here is the list of handpicked 18 best Python Animation Libraries in 2023 which will help you with your animation requirements: 

manim - 3b1b

• Is a Python library for creating mathematical animations and educational videos that Grant Sanderson develops.  
• Is an open source library that allows users to create high-quality animations which visualize mathematical concepts like animations of graphs, functions, fractals, and more.   
• Uses Python code for creating animations which we can export to animated GIFs or video files. 

PythonRobotics

• Is a Python library for implementing different robotics simulations, visualizations, and algorithms. 
• Offers various resources and tools for robotics developers, like algorithms for path planning, localization, motion control, mapping, and many more.   
• Includes simulation environments like 2D and 3D simulators, that will allow developers to test their algorithms in virtual environments before deploying them on real robots.   

matplotlib

• Is a comprehensive library for creating animated, interactive visualizations and static in Python. 
• Produces publication-quality figures in different interactive environments and hardcopy formats across platforms. 
• Can be used in Python Scripts, web application servers, various graphical user interface toolkits, and Python/IPython shells. 

manim - ManimCommunity

• Is an animation engine for explanatory math videos used for programmatically creating precise animations. 
• Includes various tools for creating animations like support for vector graphics, 3D objects, and complex mathematical equations. 
• Also includes features for creating animations with custom fonts, styles, and colors. 

plotly.py 

• Is a Python library used to create interactive data visualizations, built on the plotly JavaScript library that allows developers to create various interactive plots.   
• Is designed to be easy to use and includes different resources and tools for creating high-quality visualizations. 
• Includes support for complex data structures like pandas DataFrames and offers various customization options for fonts, styles, and colors. 

seaborn

• Is a Python data visualization library based on Matplotlib, offering a high-level interface to create attractive and informative statistical graphics.  
• Offers various plotting functions for visualizing various data types like continuous data, data distribution, and categorial data.  
• Its the ability to create visually appealing plots with minimal effort and supports the customization of plot elements like axes, titles, legends, and labels. 

moviepy

• Is a Python library for video editing, concatenations, cutting, video composting, title insertions, creation of custom effects, and video processing. 
• Has the ability to add audio to video clips easily and offers various filters and audio effects like changing pitch and speed, adding sound effects, and adjusting volume.  
• Includes support for creating animations like moving text, images, and shapes and allows users to export their video clips to different file formats. 

termtosvg 

• Is a Python library that allows users to record terminal sessions and save them as SVG animations.  
• Produces clean-looking and lightweight still frames embeddable on the project page or animations.  
• Includes support for recording multiple terminal sessions, allowing users to control the size and speed of the resulting animation.   

altair

• Is a declarative statistical visualization library that can help you spend more time understanding your data and its meaning. 
• Offers a simple syntax for creating different visualizations, like line charts, histograms, scatterplots, and bar charts. 
• Its declarative syntax lets user's express visualizations as a series of high-level mappings between visual and data properties like color, size, and position. 

PathPlanning

• Is a Python library used for path and motion planning applications designed to be accessible to beginners and experts with a straightforward API. 
• Offers various algorithms for computing collision-free paths for drones, mobile robots, and manipulators in 2D and 3D environments. 
• Also offers tools for trajectory generation, motion control, and obstacle avoidance and supports simulation and visualization of robot motion. 

alive-progress 

• Is a Python library for displaying spinners and progress bars in command-line applications designed to offer a customizable way of showing progress indicators for long-running processes or tasks. 
• Supports for pausing and resuming progress indicators, nested spinners, and progress bars. 
• Designed to be intuitive and simple with various default settings and a straightforward API for customizing the behavior and appearance of spinners and progress bars. 

asciimatics 

• Is a package for helping people create full-screen text UIs on any platform and offers a single cross-platform Python class to do all the low-level console functions. 
• Includes cursor positioning, mouse input, screen scraping, colored/styled text, detecting and handling if the console resizes, and keyboard input like Unicode support. 
• Is a Python library for creating text-based animations and user interfaces in the terminal. 

pygal 

• Is a Python library for creating interactive Scalable Vector Graphics (SVG) graphs and charts. 
• Offers various tools for generating customizable charts, graphs, and high-quality for use in presentations, reports, and web applications. 
• Includes built-in support for data/time axis labeling, responsive design, and integration with web frameworks and interactive charts elements.   

GANimation 

• Is a Python implementation of the GANimation research project, which offers various tools for generating animations from still images using Generative Adversarial Networks (GANs).  
• Includes tools for augmenting and preprocessing input data, customizable GAN training parameters and architecture, and support for evaluating and visualizing GAN models.  
• Offers various tools for fine-tuning GAN models and generating high-quality animations for various applications. 

deep-motion-editing 

• Offers advanced and fundamental functions to work with 3D character animations in deep learning with Pytorch. 
• Is a Python implementation of the research project of the same name, which offers tools for editing the motion of human characters in video sequences using deep learning methods.  
• Its ability to generate realistic, high-quality animations for various applications offers tools for fine-tuning the deep learning model and editing the generated motions to achieve the desired results. 

geoplotlib 

• Is a Python library for creating geographical maps and visualizations and offers an easy-to-use interface for creating maps with different data types, like polygons, heatmaps, lines, and points. 
• Includes support for different tile providers and map projections, customizable styling options for data layers like size, transparency, and color. 
• Designed for creating interactive maps and visualizations and is suitable for various applications like data analysis, presentation, and exploration. 

Linux-Fake-Background-Webcam 

• Is a Python library that will allow users to replace their webcam background with a custom video or image on Linux systems.  
• Works by creating a virtual webcam device that can be selected as the input source in video conferencing applications, allowing users to appear as if they are in various environments and locations.   
• Includes the ability to control the position and size of the custom background video or image and support for replacing the webcam background with a custom video or audio. 

celluloid 

• Is a Python library that offers a simple interface for creating visualizations and animations in Matplotlib   
• Designed to make it easy for users to create animations without having to write to deal with low-level details and complex code.  
• Includes a simple interface for adding and updating data in the animation, the ability to save the animation as an MP4 or GIF video file, and support for customizing the animation style and appearance. 

FAQ

What are the best data visualizations for Python animation libraries?  

The Python Animation libraries create amazing visuals that can move and change. Here are the best data visualization libraries:  

• Matplotlib  
• Bokeh  
• Plotly  
• Pygal  
• Plotnine  
• Seaborn  
• Holoviews  

Which animation library is most used by Python coders today?  

Matplotlib is a powerful 2D plotting library. It supports various visualizations. It is used in the scientific and data analysis communities. The 'FuncAnimation' class provides its animation capabilities. It allows coders to create dynamic and interactive visualizations. Its popularity is due to its advanced development, clear documentation, and reliability. Other higher-level visualization libraries use it as the backend.  

How can I create explanatory math videos using a Python animation library?  

You can use a Python Animation library to make math videos that show concepts visually. You should follow the below steps:  

• Choose a Python animation library  
• Plan your content  
• Write the Python code  
• Animate with time  
• Narrate or annotate  
• Export the video  
• Edit and visualize  
• Share your video  

What does the code for a basic Python animation look like?  

You can make a simple animation in Python with different libraries. Many people like using the matplotlib library. Matplotlib, a strong Python library, can make plots and do basic animations.   

Here's an example of a basic Python animation using matplotlib:   

import numpy as np   

import matplotlib.pyplot as plt   

from matplotlib.animation import FuncAnimation   

# Function to update the plot in each animation frame   

def update(frame):   

   # Clear the previous plot   

   plt.cla()   

   # Generate some data points for the animation   

   x = np.linspace(0, 2*np.pi, 100)   

   y = np.sin(x + 2*np.pi*frame/100)   

   # Plot the data   

   plt.plot(x, y)   

   plt.xlabel('X')   

   plt.ylabel('Y')   

   plt.title('Basic Python Animation')   

   plt.grid(True)   

# Create a blank figure   

fig, ax = plt.subplots()   

# Create the animation with the update function, 100 frames, and 100ms delay between frames   

animation = FuncAnimation(fig, update, frames=100, interval=100)    

# If you want to save the animation as a video file, you can use the following line:   

# animation.save('basic_animation.mp4', writer='ffmpeg', fps=30)   

 # Display the animation   

plt.show()   

This code creates a simple animation that displays a sine wave. The update function makes new data points and updates the plot in each animation frame. The FuncAnimation class controls the animation. It calls the update function many times with different frame values.  

In this example, the animation has 100 frames with a delay of 100 milliseconds between frames.

To save the animation as a video file: 

1. Remove the comment from the animation. 
2. Save line. 
3. Make sure you have ffmpeg installed. 
4. Before running the code, ensure you have installed matplotlib in your Python setup. You can install it using pip install matplotlib.  

Using an animation library, how can you make line charts with various colors in Python?  

You can use different libraries in Python to make line charts with colors and animations. I will teach you how to use Matplotlib's FuncAnimation to animate graphs.   

Here's a step-by-step guide:   

#Install the required libraries (if you haven't already)   

pip install matplotlib   

# Import the necessary modules   

import numpy as np   

import matplotlib.pyplot as plt   

from matplotlib.animation import FuncAnimation   

# Generate your data: Create multiple datasets with different colors. For this example, let's consider two datasets, data1 and data2   

x = np.linspace(0, 10, 100)   

data1 = np.sin(x)   

data2 = np.cos(x)   

# Create a figure and an axis to plot the data   

fig, ax = plt.subplots()   

# Define the line objects for each dataset and set their properties   

line1, = ax.plot([], [], color='red', label='Data 1')   

line2, = ax.plot([], [], color='blue', label='Data 2')   

# Define the initialization function for the animation   

def init():   

   line1.set_data([], [])   

   line2.set_data([], [])   

   return line1, line2   

# Define the update function for the animation   

def update(frame):   

   line1.set_data(x[:frame], data1[:frame])   

   line2.set_data(x[:frame], data2[:frame])   

   return line1, line2   

# Create the animation using FuncAnimation   

frames = len(x)   

animation = FuncAnimation(fig, update, frames=frames, init_func=init, blit=True)   

# Display the animation or save it to a file (optional)   

plt.legend()   

plt.xlabel('X-axis')   

plt.ylabel('Y-axis')   

plt.title('Animated Line Chart with Different Colors')   

plt.show()   

This code makes a line chart that shows two datasets using different colors. You can customize the colors, data, and other properties per your requirements. To add more datasets, make new line objects and update their data in the update function.   

Can FuncAnimation be used to animate 3D objects and 2D shapes in Python?  

Yes, 'FuncAnimation' can animate both 3D objects and 2D shapes. But 'FuncAnimation' is a part of the Matplotlib library. It is primarily known for 2D plotting. Matplotlib's 3D plotting toolkit makes 3D objects, and visualizations come to life.  

Are there any tips or tricks to improve creating animations with Python libraries?  

To improve your animations, follow these helpful tips and tricks for efficient engineering. Here are some valuable tips to help you with it:  

• Plan your animation  
• Keep it simple  
• Use subplots  
• Choose the right library  
• Optimize data processing  
• Minimize redrawing  
• Control animation speed  
• Add labels and annotations  
• User color thoughtfully  
• Consider interactivity  
• Test on a smaller subset  

Can I find open-source projects to practice coding with a Python animation library?  

Yes, there are many open-source projects available that use Python animation libraries. These resources help you practice animation libraries before starting your own project. Here are some places where you can find such projects:  

• Matplotlib Examples Gallery  
• GitHub Repositories  
• Plotly Examples Gallery  
• Kaggle Notebooks  
• Bokeh Examples Gallery  
• Data Science Blogs  
• YouTube Tutorials 

Flappy Bird is an arcade-style game. It was initially released as a mobile game while tapping the screen to make the bird fly. Later, the game's pc version was released, where the Bird will be controlled using the up key or the space bar. If Bird hits on the pipes or the screen edges, the game ends, and the player needs to restart. Flappy Bird can fly the Bird as far as you can without hitting a pipe. The player is tasked with navigating Faby through pairs of pipes with equally sized gaps placed at random heights. Try to play as long as possible, score as many points as you can!. Following are the steps to be followed for build Flappy Bird Game, 1. Graphics Setup 2. Game Logic 3. Creating Input Controls 4. Generating Sound effects & Display Scores 5. Multi-player

Multi-player

Flappy bird is a single-player game, but it's possible to have multiplayer by using below libraries. Players will play on their game field one who gets more scores will win the game.

Graphic Designs & Game logic

Graphic designs are used in a flappy game to build an image of the player (bird), background, pipe, base and for displaying messages. Game logic and Graphic designs are build by using below libraries.

Creating Input Controls

Key mapper is an open-source library that allows users to use a key or combination of keys to perform a specific action(fly), which can be used for navigating.

Sound effects & Scores

Sound effects are used while the bird hits the pipe, generating scores for every move of a bird and a Game over by sfb & FlapPyBird libraries . Using flairfly library, scores can be calculated by the number of pipes crossed.

The primary technologies for creating Web pages are HTML and CSS. HTML provides the page structure while CSS handles the visual layout.

HTML, which stands for "Hypertext Markup Language.", forms the foundation for defining the arrangement and content of web pages. HTML operates by utilizing a series of tags that mark specific elements within a page. CSS, which stands for Cascading Style Sheets, is a language employed for creating stylesheets that govern the arrangement and design of HTML documents. 

This kit has some simple-to-use exercise in HTML/CSS to help someone new to Web Development to learn how to program in HTML/CSS and get started with their journey. 

For a detailed tutorial on installing & executing the solution as well as learning resources including training & certification opportunities, please visit the OpenWeaver Community

Knowledge Resources for basics

Kit Solution Source

Support

If you need help using this kit, you may reach us at the OpenWeaver Community.

Dynamic Forms are nothing but one of the crucial parts of a web app. It plays a vital role in collecting data or information about the users. Developers are responsible to validate those input data in the form fields in order to provide a good user experience.

There are two types of forms inputs in React,

• Uncontrolled Component
• Controlled Component

To add multiple input fields dynamically in JavaScript,

• Creating a copy of a field group to be used as a template.
• Getting the container of the input fields.
• Set input fields id is based on the total number of form groups in the parent.
• addinput() - make sure this method adds to the button.
• At the end insert the input form before the end of the parent form.

The main purpose of the forms is to collect the required information or data in a meaningful fashion and logically for communication and pass to another entity. It is advisable to have a JavaScript function that handles the form submission and also has access to the form's user data. The traditional way to do this technique is called 'controlled components'. The benefits of forms are increased efficiency of employees and reduced volume of work. Instead of manually putting the data into the databases, we can automate the process by directing the data from the forms to the databases.

Here is an example of how you can add form fields dynamically in ReactJS:

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and Reactstrap libraries.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm i reactstrap.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in index.js file(remove the earlier code from index.js).
7. Open the terminal from IDE.
8. npm start to run the file.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'how to add form fields dynamically in reactjs' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. Reactstrap version-9.0.2.

Using this solution, we are able to add form fields dynamically in reactjs with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to add form fields dynamically in reactjs.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'react' and 'reactstrap'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

Bar graphs are pictorial representations of data. They display numerical or categorical data. The data in bar charts are represented as vertical or horizontal bars, where the bar's length depicts the measure of data. Bar charts are mostly used in Sales Management, Inventory Management or to compare frequencies, etc. We can use an array or a list of data items as the source for creating a bar chart.  

For creating a bar chart in React, we use React-charts. They include: 

• Chart 
• Series Type Components 
• Curve Functions 
• Position Constants 
• Grouping Constants 

A standard and highly adaptable data model proposed on arrays of series and arrays of datums is used by React Charts. To materialize this structure, you may directly use data accessors or the model defaults. 

• Series: It is a collection of related data points 
• Datums: Datums is a set of react components used for display and input of attributes 

For more information about bar charts using react-charts in ReactJS, refer to the code given below. 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we are using React, moment and React charts libraries.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm i moment and npm i react-charts --force.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in app.js file.
7. Command or remove the import statement of styles file.
8. Open the terminal from IDE.
9. npm start to run the file.

You can also refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'Bar chart using react-charts in ReactJs' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. Moment version-current.
5. React-charts version-0.8.0.

Using this solution, we are able to create bar chart using react charts in reactjs with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to create bar chart using react charts in reactjs.

Dependent Library

You can also search for any dependent libraries on kandi like 'react', 'moment' and 'react-charts'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

A nested pie chart is a type of pie chart that uses many layers of nested rings to visualize and analyze data. It shows the relationship between parts of a whole or the composition of a particular group. The innermost circle represents the total sum of the data and each subsequent circle. It shows the proportion of the whole that each part contributes. For example, a nested pie chart can show the proportion of different types of fruit in a basket. It can also tell the proportion of students in a school by grade level. 

We can visualize the different types of data with a nested pie chart are: 

Numerical Data:  

• Population by Age Group 
• Expenditure by Category 
• Budget Allocation by Department 
• Annual Revenue by Region 
• Cost of Living by City 

Categorical Data:  

• Brand Preferences by Gender 
• Voter Turnout by Political Party 
• Employee Satisfaction by Role 
• Education Level by Country 
• Job Satisfaction by Industry 

Nested pie charts display hierarchical relationships between data in a visual form. The chart contains nested circles giving a circular statistical plot. It's where we can represent the plot from a level in the hierarchy. A different color represents each hierarchy level; the innermost circle is the highest. 

Nested pie charts can create bar, pie, and line charts. The bar chart uses a hierarchical structure to compare many data points. It displays the relative proportions of each data point within the hierarchy. The line chart displays trends over time. 

• X-Axis: The x-axis measures the categories, or groups, of data in a nested pie chart. It runs along the bottom of the chart and displays the labels for each data group. 
• Y-Axis: The y-axis measures the size of each data group in a nested pie chart. It runs from the left side of the chart and displays the numerical values for each data group. 
• Scale Axis: The scale axis helps measure each data group's relative size in a nested pie chart. It runs along the top or right side of the chart and displays the numerical values for each data group. Remembering that the scale axis should be consistent across all charts is important. 

We can use different types of labels with a nested pie chart. 

• Title Label: The title label identifies the chart and provides context for the data. It should explain the chart and give the reader an understanding of the data. 
• Data Labels: Data labels identify the individual sections of the pie chart. These labels can be numerical values, percentages, or even words. The words that describe the values. 
• Legend Labels: The legend labels identify the pie chart's different sections. These labels should explain what each section of the chart represents. They can be color-coded to identify the sections further. 

Different types of layout options are available for a nested pie chart:

Stacked Layout: 

The stacked layout shows the segments of the outer pie chart stacked on top. It offers a representation of the relative subcategory sizes within each main category. 

Grouped Layout: 

The grouped layout for a nested pie chart shows the segments of the outer pie chart grouped. It is useful for identifying the relationships between the subcategories as groupings. It makes comparing the relative subcategory sizes within each main category easier. 

Nested Layout: 

The nested layout for a nested pie chart shows the segments of the outer pie chart nested within each other. The nested segments make it easier to identify the size of each main category relative to the others. It is useful for identifying the relationships between the main and the subcategories. 

For creating a nested pie chart: 

Choose the right data type: 

Gather the data needed to create the nested pie chart. This data should include the categories of information. It should also include the number of items in each category and the percentages of each category. 

Design the chart correctly: 

Once we gather the data and use a graphing program or software to create the chart, we set up the chart correctly, ensuring we nest the categories and label the data properly. 

Add labels and axes: 

Finally, add labels and axes to the chart to make it easier to understand. Be sure to label the category names, the numbers, and the percentages. Also, be sure to add a legend to the chart to explain the meanings of the colors. 

We can use a nested pie chart to visualize data by following some points: 

Determine the data you want to visualize and the most appropriate chart type. Nested pie charts are great for comparing categories within a whole. So, consider your research question when selecting the chart type. Choose a layout that conveys the data. Avoid using too many pies in one chart, as it can be hard to read. Instead, consider using many charts to differentiate the categories better. Add labels to each pie chart and the data points to identify the category or point in the chart. Make sure to add a title, legend, and other helpful information to the chart to make it easier to interpret. Use colors to differentiate the categories within the chart. Use a consistent color scheme throughout the chart and darker colors for categories. Consider adding a call-out box. It explains the differences between the categories within the chart. This will make it easier for viewers to understand the data. 

A nested pie chart visualizes data. It allows the viewer to compare proportions and relationships. By nesting the pie charts, the viewer can identify if one variable is more or less important than another. This makes it quick to identify correlations and trends in the data. Additionally, the visual nature of the chart makes it easier to explain complex data sets.

Fig1: Preview of the Code.

Fig2: Preview of the output.

Code

In this solution, we are creating a nested pie chart using matplotlib.

Instructions

Follow the steps carefully to get the output easily.

1. Install Jupyter Notebook on your computer.
2. Open terminal and install the required libraries with following commands.
3. Install numpy - pip install numpy.
4. Install pandas - pip install pandas.
5. Install matplotlib - pip install matplotlib.
6. Copy the code using the "Copy" button above and paste it into your IDE's Python file.
7. Remove the text from line number 17 to 28.
8. Run the file.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "Create a nested pie chart using matplotlib python" in kandi. You can try any such use case!

Dependent Libraries

If you do not have matplotlib or numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the respective page in kandi.

You can search for any dependent library on kandi like matplotlib

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Python 3.9.6
2. The solution is tested on matplotlib version 3.5.0
3. The solution is tested on numpy version 1.21.4
4. The solution is tested on pandas version 1.5.1

Using this solution, we are able to create a nested pie chart with matplotlib.

FAQ 

What is a nested pie chart, and what are its applications?  

A nested pie chart is a type of chart that uses many layers of concentric circles. It helps represent the relative value of different categories of data. It displays hierarchical data and compares parts of a whole. It can compare a variety of data sets. It can include the relative proportions of countries and the relative product sizes. Or it can include the relative components of an income.

How does a circular statistical plot differ from other kinds of plots?  

A circular statistical plot is a circular graph showing relationships between variables. It differs from other plots because it uses angles instead of the typical x and y axes to display the data. This allows for efficient use of space and a more intuitive way of displaying the data. A circular statistical plot can show relationships between variables with a single graph. 

Is it possible to create a donut chart using Python?  

Yes, it is possible to create a donut chart using Python. Python offers various libraries, like Matplotlib, Seaborn, and Plotly. Additionally, several online resources help you create a donut chart. We can create a donut chart. 

When should you use a bar chart over a nested pie chart for data visualization?  

Bar is over nested pie charts when comparing values or emphasizing their differences. Bar charts make it easier to compare individual values or groups of values. They also enable viewers to see the data's range of values and trends. 

What is the data intensity ratio when plotting with nested pie charts?  

When plotting with nested pie charts, the data intensity ratio is 4:1. The inner circle should represent approximately 25% of the total data. It will be when the outer circle should represent the remaining 75%. 

Are there any special libraries in Python that can help plot these charts?  

Yes, several libraries in Python can help plot charts. Examples include Matplotlib, Plotly, Seaborn, Bokeh, and Pygal. 

How do you create an outer circle when making a nested pie chart in Python?  

To create an outer circle when making a nested pie chart in Python, you can use the Matplotlib library. You can use matplotlib.pyplot.pie() function and set the radius parameter to a value greater than 1. This will create an outer circle around the nested pie chart. 

What tools can help Analyzing Data represented by Nested Pie Charts in Python?  

• Matplotlib: Matplotlib helps create static, animated, and interactive visualizations. It is well-suited for analyzing data represented by nested pie charts. It allows users to customize their charts and add extra information. 
• Seaborn: Seaborn is a Python data visualization library based on matplotlib. It provides an interface for creating interactive and publication-quality figures. It is useful for analyzing data from nested pie charts. 
• Plotly: Plotly is an interactive and open-source data visualization library for Python. It provides an intuitive interface and powerful tools for creating and customizing figures. It is particularly well-suited for analyzing data represented by nested pie charts. 

How do you use given data to create a Nested Pie Chart using Python?  

We can create a nested Pie Chart with the help of the Matplotlib library. Here is an example of creating a Nested Pie Chart using the Matplotlib library: 

• First, import the necessary libraries. 
• Create the Nested Pie Chart using the Pie chart function. 
• Load the data into a Pandas data frame. 
• Finally, add a title and display the Nested Pie Chart. 

Can I customize the ggplot2 library while making Nested Pie Chart in Python?  

Customizing the ggplot2 library while making Nested Pie Charts in Python is possible. You can customize your charts to fit your needs using the customizing options. You can customize the underlying data structure. It can create custom functions to make your charts unique. It can be like labels, colors, sizes, and shapes. 

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

Matplotlib is a popular Python 2D plotting library. It provides a powerful framework for creating animations using its `FuncAnimation` class. This functionality allows you to generate animated and interactive charts. It makes your visualizations more dynamic and engaging.  

General steps to use FuncAnimation class: 

• To begin, ensure you have Matplotlib installed with any necessary libraries. If you're using a virtual environment, create a new Python virtual environment. Then, we can install the required packages.  
• Import the necessary libraries. Import `matplotlib.pyplot` as `plt` and `matplotlib.animation` as `animation`. Import other libraries for data manipulation specific to your project.  
• Next, create the base graph or plot objects on which the animation will be built. For example, you can create a line plot, scatter plot, bar chart, or any other type of plot that suits your data. Set up the initial plot with empty data or any initial state you want for the animation.  
• To define the animation, create a function animate. It will be invoked for each frame of the animation. The function should take a frame number argument, `frame,` which can update the plot for the next frame. Upgrade the plot objects based on the frame number inside the' animate' function. It creates the animation effect.  
• To animate the plot, create an instance of the `FuncAnimation` class. Provide the figure object, the `animate` function, and any extra parameters required. This will create the actual animation object.  
• Finally, display or save the resulting animation. If you want to display it, use the `plt.show()` function. If you prefer to save it as a file, use the `animation.save()` method with the appropriate writer.  

Throughout the process, you have control over various aspects of the animation. You can customize the appearance of the animation to create sophisticated visualizations.  

When working with large data, creating animations showcases time-series or time-dependent data. By adding motion to your plots, you can capture dynamic patterns. It changes that static charts may not convey.  

The coding process for creating animations with Matplotlib is straightforward. It can be done in your preferred Python development environment. Jupyter Notebooks or integrated development environments can streamline the coding and testing process.  

With its interactive and dynamic nature, animation functionality opens possibilities for various applications. It can be used for anything from physics simulations and art animations. It helps data visualizations that need an animated element.  

Remember to consider the rendering backends and requirements specific to your project. For instance, if you create animated files, you have the necessary libraries installed. Adjust the code to match your desired output format and specifications.  

How to Create animations in Matplotlib using the FuncAnimation class? 

For making animated visualizations, Matplotlib's FuncAnimation class is a helpful resource. First, construct a figure and axis object. It helps plot your initial data before you can use FuncAnimation. The data in your plot is then updated by a function you write. This FuncAnimation function calls at predetermined intervals. It updates the data and provides a string of Artist objects representing the revised plot. You can refresh the information in your plot at predetermined intervals. It will provide the impression of motion or change over time.  

The 'im' object in Matplotlib is an instance of the 'imshow' class used to display a 2D array as an image. The data shown in the image is updated for each animation frame using the set array method of the 'im' object.  

We instruct FuncAnimation to update each frame rather than redrawing the full figure by returning from the animate function. Especially for large visualizations, this can lead to greater performance and smoother animations.  

The FuncAnimation object contains the data required to produce and control the animation. It is returned by the create video function's return anim statement. 

Preview of the output obtained when funcAnimation class is used.

Code

The im object in Matplotlib is an instance of the imshow class that is used to display a 2D array as an image. The data shown in the image is updated for each frame of the animation using the set array method of the im object.

We are instructing FuncAnimation to update only the im object on each frame rather than redrawing the full figure by returning im from the animate function. Especially for large and complicated visualisations, this can lead to greater performance and smoother animations.

The FuncAnimation object, which contains all the data required to produce and control the animation, is returned by the create video function's return anim statement.

Follow the steps carefully to get the output easily.

• Install Visual Studio Code in your computer.
• Install the required library by using the following commands

pip install matplotlib

pip install numpy

• If your system is not reflecting the installation, try running the above command by opening windows powershell as administrator.
• Open the folder in the code editor, copy and paste the above kandi code snippet in the python file.
• Remove the first line of the code.
• Run the code using the run command.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "Create animations in Matplotlib using the FuncAnimation class" in kandi. You can try any such use case!

Dependent Libraries

If you do not have numpy and matplotlib that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the pages in kandi.

You can search for any dependent library on kandi like matplotlib.

Environment tested

1. This code had been tested using python version 3.8.0
2. numpy version 1.24.2 has been used.
3. matplotlib version 3.7.1 has been used.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

FAQ 

1. What is the Python 2D plotting library, and how can it be used to create animated and interactive charts?  

The 2D plotting library provides a comprehensive set of functions. It helps in creating static and dynamic visualizations. It can create animated and interactive charts by leveraging the `FuncAnimation` class. It allows you to update plots for each frame and create engaging visual experiences.  

2. How do I create an animated line plot with the Python 2D plotting library?  

To create an animated line plot using the Python 2D plotting library (Matplotlib):  

import matplotlib.pyplot as plt;  

plt.plot(x, y);  

plt.show()  

Replace `x` and `y' with the appropriate data for the line plot and execute the code to display the animated line plot.  

3. What is the animation framework of matplotlib, and what are its uses?  

The animation framework provides functionality to create animated visualizations. It updates plot elements over time. It allows for the creation of dynamic and interactive charts. It enables the representation of time-dependent data, simulations, and other scenarios. It is where motion enhances data understanding, engagement, and storytelling.  

4. What arguments does the animation function accept to work with matplotlib?  

The `animation.FuncAnimation` function in Matplotlib accepts the following arguments:  

• `fig`: The figure object or figure number to which the animation will be associated.  
• `func`: The function that will be called for each animation frame.  
• `frames`: The total number of frames in the animation.  
• `init_func` (optional): A function that initializes the animation before the frames are drawn.  
• `interval` (optional): The delay between frames in milliseconds.  
• `repeat` (optional): Boolean value indicating whether the animation should repeat.  
• `blit` (optional): Boolean value indicating whether to use blitting for faster updates.  

5. Is there any Python module that needs to be imported for animating objects in matplotlib?  

Yes, for animating objects, you need to import the matplotlib.animation module. This module provides the necessary classes and functions. It helps create and control animations within Matplotlib. 

Fetching JSON array data from an API using React can be used in various contexts where you need to retrieve and display data from an external API in a React application. Some examples might include the following:  

• a dashboard or reporting tool that makes use of a REST API to present data  
• An application for data visualization or charting that shows current or past data  
• An application for social networking or messaging that shows user data  
• a retail or e-commerce website that displays product information or inventory from an API  

You can use the fetch function, a built-in function for making HTTP queries, or a library like Axios to complete the request to fetch data from a JSON array from an API in a React application.  

This pre-written code snippet will show you how to fetch data from a JSON file easily and consume it in your React project.  

Steps-   

• Declare a state in React to hold API data  
• To retrieve API data and store the result, use a JS function  
• On page load, add useEffect to the fetch API  

Here's an example of how you might implement this: 

Fig 1: Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and Axios library.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm install axios.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in app.js file(remove the earlier code from app.js).
7. Import libraries.
8. Open the terminal from IDE.
9. npm start to run the file.

You can also refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'display data from jsonplaceholder api using react'in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. Axios library version-0.26.1.

Using this solution, we are able to fetch Json array data from API using React with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to fetch Json array data from API using React.

Dependent Library

You can also search for any libraries on kandi like 'react' and 'axios'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

Pagination refers to breaking up a list of things into multiple pages that can be accessed via navigation links on a website or application. Pagination is a common technique for organizing and making it simpler to browse through displays containing vast numbers of objects. 

Pagination can be implemented in several ways, such as client-side or server-side pagination. Client-side pagination requires loading all the data and then breaking it into pages on the client side. In contrast, server-side pagination includes requesting the server to obtain a specific data page. Pagination can be implemented in web applications using various components and libraries, such as the React Ultimate-Pagination component. A JavaScript package called React Ultimate-Pagination is used for pagination in React apps. It offers a pagination component that is adaptable, adjustable, and simple to add to a React app. 

Here is how you can set up react ultimate pagination component using react pagination libraries. 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and React-ultimate-pagination libraries.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm i react-ultimate-pagination.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in index.js file(remove the earlier code from index.js).
7. Add export default statement at end of the code(like 'export default App;').
8. Open the terminal from IDE.
9. npm start to run the file.

You can also refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'implementing pagination in react' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. React-Ultimate-Pagination version-current

Using this solution, we are able to set-up react ultimate pagination component with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to set-up react ultimate pagination component.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'react' and 'react-ultimate-pagination'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

We can change the font color based on the background color in react by few different ways: 

• We can use a library that offers practical functions, including color contrast and brightness, to choose the best font color based on the background color. 
• We may manually determine the contrast ratio between the background color and the text’s color. If the contrast ratio is below a certain threshold, you can choose a different font color to improve the contrast and readability of the text. This can be done by using a library ‘contrast.js.’ 
• contrast.js: This is a library that helps in measuring the contrast between two colors. The contrast ratio gauges how simple it is to see text against a specific background color. 
• We can use CSS ‘color’ function. 
• color: This function allows you to use operations like lightening, darkening, and mixing to provide a color value that is generated from one or more other colors. 

For more information about changing font color based on the background color in React, refer to the code given below 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and styled-component library.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Open the folder in IDE.
5. Copy the code using "copy" button above and paste it in index.js file(remove the earlier code from index.js) and refer demo for additional one file called style.js file.
6. Add export default statement at end of the code(like 'export default App;').
7. Open the terminal from IDE.
8. npm start to run the file.

You can also refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'change the font color based on background color in React' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. Styled-components version-6.0.0.

Using this solution, we are able to change the font color based on background color in React with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to change the font color based on background color in React.

Dependent Library

You can also search for any dependent libraries on kandi like 'react' and 'styled-component'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

To create pie charts in a React application, you can use the react-highcharts library, which provides a React wrapper for the Highcharts library. Pie charts are a common way to present a brief composition summary or comparison. They continue to be a popular option for tiny datasets, even though they can be more challenging to read than column charts. 

Highcharts is a popular library for creating interactive charts and graphs on the web. To create pie charts in a React application, you can use the react-highcharts library, which provides a React wrapper for the Highcharts library. There are several different charts available on Highcharts. Examples include bar charts, pie charts, line charts, spline charts, area charts, and so forth. Pies in highcharts can also be hollow, known as a donut chart. Additionally, this pie features an inside chart, creating a hierarchical picture. Pie chart with clickable individual slices that display more specific information. 

Here is an example of how you can include a pie chart with ReactJS in your application: 

Fig 1: Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React library.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm install --save highcharts
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in index.js file(remove the earlier code from index.js).
7. Open the terminal from IDE.
8. npm start to run the file.

Also you can refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "Pie Charts in Reactjs" in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. Highcharts version-16.0.2.

Using this solution, we are able to view pie charts in Reactjs with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to view pie charts in Reactjs.

Dependent Libraries

You can also search for any dependency on kandi like 'react' and 'highcharts'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

Hooks in React are essential functions of JavaScript that we often use to separate the reusable part of a program from some of the more common components.  

• useState in React can be defined as a hook that will allow you to have local/state variables to functional components (i.e.the, more common components). React uses callback functions to push the resourceful functions away so they will not execute on every render. 

React does not allow us to use the callback function directly in the useState hook. For this purpose, we use a third hook called “useEffect.” It accepts two arguments:  

• the first one is “<function>”  
• and the second one is “<dependency>”  

Dependency is an optional argument. Once all the changes are made in DOM (Document Object Model), the useEffect hook invokes the callback function if any value in the dependencies array has been altered. To use a callback function with useState, we use useEffect to hook those checks if there is any change in the dependencies array and then call the function. 

Here is an example of how to use callback with useState hook in react;

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and use-state-with-callback.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm install use-state-with-callback.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in app.js file(remove the earlier code from app.js).
7. There are two code snippets both are almost same you can use any one.
8. Import React and use-state-with-callback libraries.
9. Add export default statement at end of the code(like 'export default SomeOtherComponent;').
10. Open the terminal from IDE.
11. npm start to run the file.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'how to use callback with usestate hook in react' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. useState-with-callback version-3.0.2.

Using this solution, we are able to use callback with usestate hook in React with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to use callback with usestate hook in React.

Dependent Libraries

You can also search for any dependent library on kandi like 'react' and 'useState-with-callback'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

React can be used passing data from a parent component to a child component in various contexts where you must share data between components in a React application.  

There are several ways you can pass data from a parent component to a child component in React. Here are a few options:  

1. Pass the data as props: You can transfer data as props from the parent component to the child component (short for "properties"). When rendering the child component, you can provide the data from the parent component as an attribute, and the child component can access the data as a prop.  
2. Use the context API: Instead of manually passing props at each level, you may utilize the context API to convey data through the component tree.  
3. Use a state management library: To store and communicate data throughout your application, you can use a state management library like Redux or MobX. Using these libraries, you can retrieve your data from any program component and store it in a global store.  

Your approach will rely on your unique requirements and application design.  

Using React, the following code shows how to pass data as props from a parent component to a child component: 

Fig 1: Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and React-uikit-button libraries.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm install react-uikit-button --save.
5. Open the folder in IDE.
6. Copy the code using "copy" button above then create a file in the name of parent.js and paste it in parent.js file.(refer demo for additional files).
7. Open the terminal from IDE.
8. npm start to run the file.

You can also refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'how to pass data from parent to child component using ReactJs' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. React-uikit-button version: current.

Using this solution, we are able to pass the data from parent to child component using ReactJs with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to pass the data from parent to child component using ReactJs.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'react' and 'react-uikit-button'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

Infinite Scrolling is nothing but a listing page design approach that loads content continuously as the user scrolls up and down and it eliminates the need for pagination breaking content up into multiple pages.

One of the simplest ways to use a library like react-infinite-scroll-component and this library provides a component that will trigger an event when the user scrolls to the bottom of the page. We can then use this event to load more content or information. Using built-in functions that React provides is also another way to implement this operation. Infinite scroll engages the users by boosting their performance and keeping viewers on the page for as long as possible. Users don't want to wait for pages to load because infinite scrolling can provide a better experience for the users. For example, the first page is only loaded at the time we entered the first time but the next page is loaded as soon as the user scrolls down through content or information.

React also has some built-in methods that we can use to implement an infinite scroll. In those built-in methods, componentDidUpdate is the first method. Then Rect calls this method after its updated a component. We can use this method to check if the user has scrolled to the bottom of the content or page and if so, load more data.

Here is an example of how you can implement Infinite Scrolling in a scrollable component on the page:

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and Infinitescroll libraries.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm install infinite-scroll.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in app.js file(remove the earlier code from app.js).
7. Import libraries.
8. Open the terminal from IDE.
9. npm start to run the file.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for ''implementing infinitescroll in react' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. InfiniteScroll version-current.

Using this solution, we are able to create infinitescroll in a scrollable component on a page in react with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to create infinitescroll in a scrollable component on a page in react.

Dependent Library

You can also search for any dependent libraries on kandi like 'react' and 'infinitescroll'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.