PyQt5 Tutorial #9 - Web Scrapping & Real-Time Plotting| Selenium | Maplotlib | Yahoo! Finance

Welcome again to PyQt5 Tutorial for YOU. This tutorial is directed towards beginners. In this video, I show you how to scrape real-time data from a dynamic website (Yahoo! Finance) with Selenium, plot the data with Matplotlib, and embed the plot in your PyQt5 applications.
Disclaimer:
Any product names, logos, brands, and other trademarks or images featured or referenced in this video are the property of their respective trademark holders. Use of these names, logos, brands, or other trademarks or images does not imply an affiliation with or endorsement by their respective owners.
Every effort has been made in the creation of this video to ensure the accuracy of information presented. However, neither the author, nor Darlington Nkwaze, and it's affiliates will be held liable for any damages caused or alleged to be caused directly or indirectly by this video.
⌚ Timestamps
0:00 Introduction
0:54 Setting up
3:41 The web-scraping and plotting files
7:15 Creating the UI
14:55 Plotting the graph
28:08 The Json file
28:25 Summary and conclusion
🚩 Connect with me on social media:
- LinkedIn: / darlington-nkwaze-476b...
- Twitter: / dnkwaze
- Instagram: / darlingtonnkwaze
🔔 Subscribe to my KZbin channel.

[@manshaq1792]

Good job,bro!

[@yamanfattouh]

Thanks for video.

[@darlingtonnkwaze]

I'm glad you found it helpful.

[@darlingtonnkwaze]

If you have a more efficient way to do this, please let me know here in the comments box. I'd love to know what you think, and whether this video was helpful. Thank you.

[@SGTIvan921]

7:15 Where coding begins

[@darlingtonnkwaze]

So, the way the code works is: First, I wrote a script to scrape the real-time data from Yahoo Finance (using Selenium) and store it in a json file. Second, I wrote a code to get the data from the json file and plot it in a canvas on my desktop app. I didn't use Qt Designer to create the UI of the app. Instead, I wrote it from scratch. I created a window and (among other things) I imported FigureCanvasQtAgg and NavigationToolbar2QT. FigureCanvasQtAgg helps us to create a canvas for the plot, while NavigationToolbar2QT helps us to add a navigation tool bar to the plot. Then, I continued to create the UI by adding widgets including a Figure (the region for the plot). I put the figure in the canvas that I created initially. Afterwards, I defined a function to grab the real-time data from the json file and plot it. I also created another function called "ani_func", which uses FuncAnimation to update the plot. I hope this helps.