I currently have a local Python environment setup with the pandas and plotly libraries.
I’ve noticed that the plotly Python library doesn’t feature any of the interactive tooltips when you hover over a graph produced in the Jupiter notebook.
Therefore I assume i need to install the llotly.js library and send data from pandas dataframes to a HTML document and inside that HTML make reference to the .js library.
Can you please outline the process how I would get from having data I can graph using the plotly library (python API in Jupiter notebook) to having an interactive graph which makes use of the. Js plotly library.
Then secondly I’m assuming this can be done as well (install the dashboard.ly library locally) - because it is also on github.
How does one install the dashboard library locally and then get from data displayed in the python notebook to being displayed on a dashboard.
Do you have to: ipython > HTML/js/CSS files > upload or point to the file paths to add to daahboard?
(End result is I want to analyse data in Jupiter and then present or visualise it using the interactivity of the .js library for tooltips and the utility of the daahboard library to easily group related graphs.