Hi @Aquib_Aziz_Azizul_Ha, welcome to the Streamlit community!
The yellow bar is indicating that the function is running. How large is the data you are trying to load?
Thanks for replying,
I had executed this earlier but now, I am facing this problem. The data set is not quite big. I dont know what is the problem.
@Aquib_Aziz_Azizul_Ha Will probably need to see more code on this. perhaps the
Or try ‘c’ → ‘r’
Here’s the link to the code.
Looking at the code from the GitHub repo that you have provided, it seems from Lines 10-11 that the data range of the data being loaded by the
load_data() function is spanning from Jan 1, 2015 to current date which would span 6 years, which may take some time to load.
START = "2015-01-01" TODAY = date.today().strftime("%Y-%m-%d")
You could try narrowing the time frame from time span of 6 years to something smaller such as 1 year and you’ll see that the app loads much quicker. Feel free to experiment with this. For example, you can adjust Line 10 to:
START = "2021-01-01"
Hope this helps
Hey Chanin Nantasenamat,
Thanks for the advice, it really helped me my project is running now. Thank you once again. Also the Streamlit community is amazingly helpful.
How can i implement “Legacy Wizard” on data like in the excel?