This Crash Course will cover all you need to know to start using Plotly in your projects.

Overview

Plotly Crash Course

This course was designed to help you get started using Plotly. If you ever felt like your data visualization skills could use an upgrade from the same old spreadsheets, look no further. Plotly is able to deliver very cool charts with little effort.

There are two notebooks in this folder. One has all the code, and the other has just the headers in case you want to use it to code along with the videos.

The full course is available here.

What you will need

You just need to have Python installed and a way to run Jupyter Notebooks. I recommend installing the Anaconda distribution if you are new to Python. It’s super easy to install and configure, and there are plenty of tutorials you can use to help you.

Might be useful to know a thing or two about data manipulation with the pandas package, but the coding is really basic throughout the whole course.

How to follow along

I recommend taking your time with each chart, and really explore the options Plotly gives you for each one. I try to teach you how to look for the stuff you need in the documentation, so I hope you find it useful if you decide to explore Plotly further. It was for me when I was starting out!

Resources

Notebook for the course - https://github.com/fnneves/plotly-crash-course/blob/main/Plotly Crash Course - complete.ipynb

Course Structure - https://github.com/fnneves/plotly-crash-course/blob/main/Plotly Crash Course Program.docx

Advanced course with Plotly and Dash - https://course-plotly-dash-waitlist.ck.page/subscribe

Plotly website - https://plotly.com/python/

Course Structure

Part 1 - Plotly Crash Course - Intro and Data Packages

  • Introduction to Plotly Express and how to use the built-in data packages

Part 2 - Plotly Express and Scatter Plots

  • Using the Scatter Plot to create a simple graph

Part 3 - Customizing Plotly Charts With Facets and Themes

  • Using Facets to create multiple plots at once and making use of the built-in themes

Part 4 - Plotly Line Charts and the Figure Reference

  • Using Line Charts and learning how to make sense of Plotly’s documentation

Part 5 - Plotly Express and Bar Charts

  • Using Bar Charts and facets to quickly generate multiple charts

Part 6 - Plotly Graph Objects - Figure Object

  • Intro to Graph Objects and how to create a Figure

Part 7 - Plotly Graph Objects - Update Figure Layout

  • Updating the layout of our figure and creating a Scatter Plot

Part 8 - Plotly Graph Objects - Advanced Customization

  • Learning how to tweak your figures to make them awesome!
Owner
Fábio Neves
Fábio Neves
Colormaps for astronomers

cmastro: colormaps for astronomers 🔭 This package contains custom colormaps that have been used in various astronomical applications, similar to cmoc

Adrian Price-Whelan 12 Oct 11, 2022
Visualization Library

CamViz Overview // Installation // Demos // License Overview CamViz is a visualization library developed by the TRI-ML team with the goal of providing

Toyota Research Institute - Machine Learning 67 Nov 24, 2022
ipyvizzu - Jupyter notebook integration of Vizzu

ipyvizzu - Jupyter notebook integration of Vizzu. Tutorial · Examples · Repository About The Project ipyvizzu is the Jupyter Notebook integration of V

Vizzu 729 Jan 08, 2023
Dipto Chakrabarty 7 Sep 06, 2022
WebApp served by OAK PoE device to visualize various streams, metadata and AI results

DepthAI PoE WebApp | Bootstrap 4 & Vue.js SPA Dashboard Based on dashmin (https:

Luxonis 6 Apr 09, 2022
Scientific measurement library for instruments, experiments, and live-plotting

PyMeasure scientific package PyMeasure makes scientific measurements easy to set up and run. The package contains a repository of instrument classes a

PyMeasure 445 Jan 04, 2023
Python wrapper for Synoptic Data API. Retrieve data from thousands of mesonet stations and networks. Returns JSON from Synoptic as Pandas DataFrame

☁ Synoptic API for Python (unofficial) The Synoptic Mesonet API (formerly MesoWest) gives you access to real-time and historical surface-based weather

Brian Blaylock 23 Jan 06, 2023
Editor and Presenter for Manim Generated Content.

Editor and Presenter for Manim Generated Content. Take a look at the Working Example. More information can be found on the documentation. These Browse

Manim Community 149 Dec 29, 2022
Application for viewing pokemon regional variants.

Pokemon Regional Variants Application Application for viewing pokemon regional variants. Run The Source Code Download Python https://www.python.org/do

Michael J Bailey 4 Oct 08, 2021
A grammar of graphics for Python

plotnine Latest Release License DOI Build Status Coverage Documentation plotnine is an implementation of a grammar of graphics in Python, it is based

Hassan Kibirige 3.3k Jan 01, 2023
It's an application to calculate I from v and r. It can also plot a graph between V vs I.

Ohm-s-Law-Visualizer It's an application to calculate I from v and r using Ohm's Law. It can also plot a graph between V vs I. Story I'm doing my Unde

Sihab Sahariar 1 Nov 20, 2021
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Dylan Tintenfich 55 Dec 28, 2022
Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

1 Jan 22, 2022
This is simply repo for line drawing rendering using freestyle in Blender.

blender_freestyle_line_drawing This is simply repo for line drawing rendering using freestyle in Blender. how to use blender2935 --background --python

MaxLin 3 Jul 02, 2022
Create charts with Python in a very similar way to creating charts using Chart.js

Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the t

Nicolas H 68 Dec 08, 2022
Cartopy - a cartographic python library with matplotlib support

Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy. Table of contents Overview Get in touch License an

1.2k Jan 01, 2023
An animation engine for explanatory math videos

Powered By: An animation engine for explanatory math videos Hi there, I'm Zheer 👋 I'm a Software Engineer and student!! 🌱 I’m currently learning eve

Zaheer ud Din Faiz 2 Nov 04, 2021
The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain

The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain. The SD provides a novel way to display the coherence function, power, amplitude, phase, and skill sc

Mabel 3 Oct 10, 2022
A simple python tool for explore your object detection dataset

A simple tool for explore your object detection dataset. The goal of this library is to provide simple and intuitive visualizations from your dataset and automatically find the best parameters for ge

GRADIANT - Centro Tecnolóxico de Telecomunicacións de Galicia 142 Dec 25, 2022
Example scripts for generating plots of Bohemian matrices

Bohemian Eigenvalue Plotting Examples This repository contains examples of generating plots of Bohemian eigenvalues. The examples in this repository a

Bohemian Matrices 5 Nov 12, 2022