Plotting library for IPython/Jupyter Notebooks
-
Updated
Apr 8, 2017 - JavaScript
Plotting library for IPython/Jupyter Notebooks
An easy to use plotly wrapper for python / jupyter notebooks
Plotting library for Jupyter Notebook in a sketchy look, from p5.scribble.js
Cross-platform tool that monitors time spent in different applications
Jupyter Notebook showing how to plot FES, histograms and time-series data using Matplotlib.
[Deep Learning, Machine Learning, Data Visualization] Two Jupiter Notebooks created to showcase different ML and explainability libraries.
Create a real-world dataset using MatPlotLib and Jupyter Notebook to determine which medical testing works the most effective on mice.
This repository contains pre-requisite notebooks of Data Visualization course from kaggle for my internship as a Machine Learning Application Developer at Technocolabs.
Tools for making JupyterPhysSciLab notebook templates for student handouts
Goals: Import CSV files to Jupyter Notebook and clean data using Python, use Matplotlib to generate charts depicting data.
This is an example of how to use Python and Jupyter Notebook to explore a given dataset.
Embed visualizations and code from Observable notebooks in Jupyter
This Jupyter notebook demonstrates how to properly plot uncertainty (confidence) ellipses for 2D normally distributed data.
My notes in Jupyter Notebooks for statistics, probability, and plotting applied with major python libraries as an introduction to machine learning.
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Plot library for Pluto notebooks based on plotly.js for 1D data and vtk.js (thus using WebGL) for 2/3D data.
A Collab Notebook for training a single-layer neural network for linear regression.
Highcharts meets Python in your jupyter notebook
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Add a description, image, and links to the plotting topic page so that developers can more easily learn about it.
To associate your repository with the plotting topic, visit your repo's landing page and select "manage topics."