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
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.
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.
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
So I am cashing out $1000 per year for Tableau and this is free and more comfortable to use. Amazing!
This is amazing. Thank you!!
Looks like a great tool...Wish it worked for me...seems highly tedious with labextensions etc
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
thanks for this video . what about the django integration ? are you thinking to prepare video about it? it would be great.
I tried it and it is great :)
Thanks for introducing me to this library! 🙏😀
Looks interesting, and great that integrating it with Streamlit is so easy.
Thanks Sil! Yeah, interesting tool for data analysis!
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.
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.
Haha oh dear. I think I had Mississippi in mind... 😁
And thank you!
MN - Land of the Ice Banjos
I was taking a certification class that used Tableau, and I like this much better.
Nice to hear - it's good that an open-source alternative can compete, I think!
Wow 🎉
Excelent video and explanation. Really looks like tableau.
But does it have also the map feature like tableau to use whit latitude and longitude?
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.
@@bugbytes3923 Does PyGWalker can only be used in Júpiter and others, but not in PyCharm?
Awesome video bro, thank you.
Thank you!
Hi, i would like to ask whether it is possible to do a stacked bar chart with pygwalker?
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.
I'm not familiar with a JavaScript version unfortunately
Superb, as usual! Thank you for introducing me to this library. I'd much rather use this than PowerBI. :)
Thanks a lot - and yeah, same! :D
Thanks again for this valuable content.
This pygwalker could be a god choice to build an interactive dashboard in django?
Thank you! Will definitely need to explore its potential with Django!
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
I didn't encounter this tbh, but this may help:
discuss.streamlit.io/t/oserror-errno-24-inotify-instance-limit-reached/5506
SUPER interesting, thank you!
Thanks for watching!
One of my best youtubers. Great work
Thanks a lot!
Great tutorial! This tool is quite simple to use!
Thank you!
As someone who works a lot with PowerBi, this is fantastic!
Agreed!