PyGWalker - Python Data Visualization tool / Streamlit Integration

In this video, we demonstrate the use of PyGWalker - for visualizing and exploring data in Jupyter Notebooks and Streamlit applications
We will show how to use the no-code, drag-and-drop interface that provides an open-source alternative to tools like Tableau and PowerBI for data analysis.
📌 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀:
00:00 Intro
00:55 Using PyGWalker
14:05 Integrating Streamlit with PyGWalker
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Data: www.kaggle.com/datasets/golde...
PyGWalker: github.com/Kanaries/pygwalker
PyGWalker with Streamlit: docs.kanaries.net/pygwalker/u...
#python #datascience #datavisualization

[@silkogelman]

Thanks for introducing me to this library! 🙏😀
Looks interesting, and great that integrating it with Streamlit is so easy.

[@bugbytes3923]

Thanks Sil! Yeah, interesting tool for data analysis!

[@revolution77N]

This is amazing. Thank you!!

[@DHoss83]

As someone who works a lot with PowerBi, this is fantastic!

[@bugbytes3923]

Agreed!

[@lukelewis9927]

I was taking a certification class that used Tableau, and I like this much better.

[@bugbytes3923]

Nice to hear - it's good that an open-source alternative can compete, I think!

[@farzadmf]

SUPER interesting, thank you!

[@bugbytes3923]

Thanks for watching!

[@Ego_Maritm]

Awesome video bro, thank you.

[@bugbytes3923]

Thank you!

[@diegoandradex12]

Great tutorial! This tool is quite simple to use!

[@bugbytes3923]

Thank you!

[@geoffbeier]

Minnesota is quite far from the south of the USA :)…
Thanks for showing off a useful thing I’d never heard of before. Nice work.

[@bugbytes3923]

Haha oh dear. I think I had Mississippi in mind... 😁
And thank you!

[@TheMaxKids]

MN - Land of the Ice Banjos

[@ishmaelsarpongasiedu6727]

One of my best youtubers. Great work

[@bugbytes3923]

Thanks a lot!

[@LookNumber9]

Superb, as usual! Thank you for introducing me to this library. I'd much rather use this than PowerBI. :)

[@bugbytes3923]

Thanks a lot - and yeah, same! :D

[@60pluscrazy]

Wow 🎉

[@ticelsoful]

Wonderful tutorial. Would it be possible to run this through VSCode and have Pygwalker appear within the browser? Since I attempted it and it only shows up in the console without opening the browser.

[@taylorkara9764]

Hi, i would like to ask whether it is possible to do a stacked bar chart with pygwalker?

[@PKX1167]

Excelent video and explanation. Really looks like tableau.
But does it have also the map feature like tableau to use whit latitude and longitude?

[@bugbytes3923]

Thanks! I'm not sure about that one to be honest, but I'll have a look into that and maybe do a very short follow-up if it's possible.

[@PKX1167]

@@bugbytes3923 Does PyGWalker can only be used in Júpiter and others, but not in PyCharm?

[@serkangulten]

thanks for this video . what about the django integration ? are you thinking to prepare video about it? it would be great.

[@wiki-infodevelopment3369]

I tried it and it is great :)

[@fernandtape9363]

Thanks again for this valuable content.
This pygwalker could be a god choice to build an interactive dashboard in django?

[@bugbytes3923]

Thank you! Will definitely need to explore its potential with Django!

[@pietraderdetective8953]

Looks interesting! is there a Javascript version for this library? everything dataviz I like to use the JS ver if available as I can use it via CDN, no need to pip install.

[@bugbytes3923]

I'm not familiar with a JavaScript version unfortunately

[@user-lc2dh6zx5p]

works fine on a jupyter notebook but not in streamlit, i get a inotify watch limit reached error and if i try to change the filewatcher ype the server runs but it bugs out like its on an infinite loop

[@bugbytes3923]

I didn't encounter this tbh, but this may help:
discuss.streamlit.io/t/oserror-errno-24-inotify-instance-limit-reached/5506

[@merasathi77]

import pygwalker as pyg
import pandas as pd
import streamlit.components.v1 as components
import streamlit as st
df = pd.read_csv('US_House_Price.csv', encoding='Latin-1')
# Adjust the width of the stremlit page
st.set_page_config(
page_title="Use Pygwalker In Streamlit",
layout="wide"
)
# Add Title
st.title("Use Pygwalker In Streamlit")
# Genrate the HTML using Pygwalker
pyg_html = pyg.walk(df, return_html=True)
# Embed the html into the streamlite app
components.html(pyg_html, height=1000, scrolling=True)
this code working for me thank you