How to create interactive plots in Python Jupyter Notebook?

In this tutorial, I will cover some examples of interactive data visualization with Plotly using ipywidgets. We will first import all the dependencies and load the data. Then we will create the Date Picker widget and Plotly graph. Finally, we will then create event handler function and bind the plot with the date picker widget. Bonus: we will also see how to hide the code to make this jupyter notebook look like a dashboard. #datascience #project #dataanalytics #tech #fit #lab 📦 Github Repository Link: https://github.com/Techfitlab/interactive_plots_in_r_and_python 🔧 Python Installation: https://docs.anaconda.com/anaconda/install/ 📝 Follow me on: 🛎 Techfitlab - Tech and Fitness Lab ✅ Techfitlab: https://www.techfitlab.com/ 🔖 LinkedIn: https://www.linkedin.com/in/gaurav-pahuja-17570870/ 🔖 Instagram: https://www.instagram.com/techfitlab/ 🔖 Facebook: https://www.facebook.com/gaurav.pahuja.969 🔖 Twitter: https://twitter.com/TechFitLab 🔖 Tik Tok: https://www.tiktok.com/@techfitlab?is_copy_url=1&is_from_webapp=v1&lang=en 💠 Groups ✅ LinkedIn: https://www.linkedin.com/groups/8962850/ ✅ Facebook: https://www.facebook.com/groups/631011387821922 📚 Projects ✅ Techfitlab: https://www.techfitlab.com/projects