pyvisualizer's Introduction
PyVisualizer == PyVisualizer is a small clone of streamlit. == Your Graphs/Tables can be converted innto Bootstrap4-driven diagrams ready for presentation. == Suppose you write a code for Data Analytics and now, you want to create a PyVisualizer output... Follow the steps below" (*Make sure your code, visualize.py and dependencies folder are in same directory*) Step 1: in your .py file, first import pyvisualizer with the command: >> from visualize import visualizer Step 2: Now initialize a visualizer object with the following command: >> viz = visualizer() Step 3: Now, in your Data Analytics, suppose you have written plt.show() somewhere in the code for generating a graph / visual-output... Instead of that, you should do >> viz.jumbocard(Title = "Graph Title",ImageObject = plt, Description = "The Description for your Graph") Other than Jumbocard, there is support for Cards and RenderTable as well. Step 4: Finally, when you are done with creating all the visualizations, Enter the following command: >> viz.generate_output() Step 5: A folder named output is created in the same directory which has output HTML file. NOTE: * An Example Code is Given in trails.py
pyvisualizer's People
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.