Plotly 101 - Graph Objects Intro & Figure Object - [Part 6/8]

Web Reference: Dec 18, 2025 · File "C:\Users\jaspreet kaur\AppData\Roaming\Python\Python312\site-packages\plotly\basedatatypes.py", line 4451, in _process_kwargs raise err ValueError: Invalid property specified for object of type plotly.graph_objs.layout.XAxis: 'titlefont' Did you mean "tickfont"? Then afterwards it gives several properties which can be used. I made a line plot with Plotly. How can I set the range of Y axis to always have it in [0; 10]? Dec 19, 2019 · Plotly: How to filter a pandas dataframe using a dropdown menu? Asked 6 years, 3 months ago Modified 4 years, 1 month ago Viewed 27k times

YouTube Excerpt: 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. RESOURCES =========================== Github - https://github.com/fnneves/plotly-crash-course Plotly website -https://plotly.com/python/ You can watch the full-length video here - https://bit.ly/3Hy8jwa For the advanced course with Plotly & Dash - https://bit.ly/3pSpPoK If you prefer Udemy - https://bit.ly/udemyfndataviz Check out all courses - https://fneves.podia.com USEFUL BOOKS =========================== These books have helped me level up my skills on Plotly and Dash. Great book with a lot of details on Plotly and Dash apps - https://amzn.to/3AV879E Another great book, with the beginners in mind - https://amzn.to/3pRzE5w Python for Data Analysis - https://amzn.to/3Rkgz80 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! FULL LIST FOR THE CRASH COURSE =========================== ### Part 1 - Plotly Crash Course - Intro and Data Packages Introduction to Plotly Express and how to use the built-in data packages https://youtu.be/asz-AqzajA8 ### Part 2 - Plotly Express and Scatter Plots Using the Scatter Plot to create a simple graph https://youtu.be/XFjuS-hZyv0 ### 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 https://youtu.be/9I-zxm-vHNw ### Part 4 - Plotly Line Charts and the Figure Reference Using Line Charts and learning how to make sense of Plotly’s documentation https://youtu.be/f-W4Gr_TuXE ### Part 5 - Plotly Express and Bar Charts Using Bar Charts and facets to quickly generate multiple charts https://youtu.be/wJXIbtOkSV8 ### Part 6 - Plotly Graph Objects - Figure Object https://youtu.be/srIU-QglaB0 Intro to Graph Objects and how to create a Figure ### Part 7 - Plotly Graph Objects - Update Figure Layout https://youtu.be/NQHcs-rIoVk Updating the layout of our figure and creating a Scatter Plot ### Part 8 - Plotly Graph Objects - Advanced Customization https://youtu.be/Ot-LUGVWwKk Learning how to tweak your figures to make them awesome! ------------------------------------------------------------------------------------------------------------------- Disclosure: Some of the links above are affiliate links. This means that, at zero cost to you, I will earn an affiliate commission if you finalize the purchase through the link!

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...

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