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
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Visdom A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Python. Overview Concepts Setup Usage API To

FOSSASIA 9.4k Jan 07, 2023
Statistical data visualization using matplotlib

seaborn: statistical data visualization Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing

Michael Waskom 10.2k Dec 30, 2022
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

windml Build status : The importance of wind in smart grids with a large number of renewable energy resources is increasing. With the growing infrastr

Computational Intelligence Group 125 Dec 24, 2022
DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.

DALLE tools DALLE-tools is a github repository with useful tools to categorize, annotate or check the sanity of your datasets. Installation Just clone

11 Dec 25, 2022
Small U-Net for vehicle detection

Small U-Net for vehicle detection Vivek Yadav, PhD Overview In this repository , we will go over using U-net for detecting vehicles in a video stream

Vivek Yadav 91 Nov 03, 2022
Alternative layout visualizer for ZSA Moonlander keyboard

General info This is a keyboard layout visualizer for ZSA Moonlander keyboard (because I didn't find their Oryx or their training tool particularly us

10 Jul 19, 2022
A tool for creating Toontown-style nametags in Panda3D

Toontown-Nametag Toontown-Nametag is a tool for creating Toontown Online/Toontown Rewritten-style nametags in Panda3D. It contains a function, createN

BoggoTV 2 Dec 23, 2021
Make visual music sheets for thatskygame (graphical representations of the Sky keyboard)

sky-python-music-sheet-maker This program lets you make visual music sheets for Sky: Children of the Light. It will ask you a few questions, and does

21 Aug 26, 2022
Moscow DEG 2021 elections plots

Построение графиков на основе публичных данных о ДЭГ в Москве в 2021г. Описание Скрипты в данном репозитории позволяют собственноручно построить графи

9 Jul 15, 2022
Realtime Web Apps and Dashboards for Python and R

H2O Wave Realtime Web Apps and Dashboards for Python and R New! R Language API Build and control Wave dashboards using R! New! Easily integrate AI/ML

H2O.ai 3.4k Jan 06, 2023
基于python爬虫爬取COVID-19爆发开始至今全球疫情数据并利用Echarts对数据进行分析与多样化展示。

COVID-19-Epidemic-Map 基于python爬虫爬取COVID-19爆发开始至今全球疫情数据并利用Echarts对数据进行分析与多样化展示。 觉得项目还不错的话欢迎给一个star! 项目的源码可以正常运行,各个库的版本、数据库的建表语句、运行过程中遇到的坑以及解决方式在笔记.md中都

31 Dec 15, 2022
Create SVG drawings from vector geodata files (SHP, geojson, etc).

SVGIS Create SVG drawings from vector geodata files (SHP, geojson, etc). SVGIS is great for: creating small multiples, combining lots of datasets in a

Neil Freeman 78 Dec 09, 2022
Sci palettes for matplotlib/seaborn

sci palettes for matplotlib/seaborn Installation python3 -m pip install sci-palettes Usage import seaborn as sns import matplotlib.pyplot as plt impor

Qingdong Su 2 Jun 07, 2022
Learning Convolutional Neural Networks with Interactive Visualization.

CNN Explainer An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs) For more information,

Polo Club of Data Science 6.3k Jan 01, 2023
Extract data from ThousandEyes REST API and visualize it on your customized Grafana Dashboard.

ThousandEyes Grafana Dashboard Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, Infl

Flo Pachinger 16 Nov 26, 2022
Python package for the analysis and visualisation of finite-difference fields.

discretisedfield Marijan Beg1,2, Martin Lang2, Samuel Holt3, Ryan A. Pepper4, Hans Fangohr2,5,6 1 Department of Earth Science and Engineering, Imperia

ubermag 12 Dec 14, 2022
Some problems of SSLC ( High School ) before outputs and after outputs

Some problems of SSLC ( High School ) before outputs and after outputs 1] A Python program and its output (output1) while running the program is given

Fayas Noushad 3 Dec 01, 2021
An adaptable Snakemake workflow which uses GATKs best practice recommendations to perform germline mutation calling starting with BAM files

Germline Mutation Calling This Snakemake workflow follows the GATK best-practice recommandations to call small germline variants. The pipeline require

12 Dec 24, 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
Data-FX is an addon for Blender (2.9) that allows for the visualization of data with different charts

Data-FX Data-FX is an addon for Blender (2.9) that allows for the visualization of data with different charts Currently, there are only 2 chart option

Landon Ferguson 20 Nov 21, 2022