The library is built on top of plotly.js JavaScript library ( GitHub). Plotly Python is a free and open source interactive graphing library for Python. The demo application uses Corona Virus Disease (COVID-19), Environmental, Social and Governance, and Financial data from Eikon Data API as an example of a dataset.
#Plotly not showing in jupyterlab how to#
This example project demonstrates how to use the Plotly Python library to plot various types of graphs.
There are a lot of other alternative Plotting libraries such as Seaborn (which is a high-level interface of Matplotlib), Spotify’s Chartify, Bokeh, Plotly Python, etc. However, the Matplotlib is a huge library that contains several interfaces, capabilities, and 1000+ pages of documents. The Matplotlib Pyplot is a de-facto library for making interactive plots and data visualization in the Python and Data Scientists world. The good data analysis itself cannot be used with a good graph representation. With the rise of Data Scientists, Financial coders, or Traders (aka Citizen Developers), data visualization is a big part of how to present data, information, and its context to the readers (Financial team, Marketing team, etc.). The original article on the Refinitiv Developer Community is available here. How to Plotting Financial Data Chart with Plotly Python
0 kommentar(er)
