EMBEDDED_DTALE_STREAMLIT.md

Using D-Tale within Streamlit

1) Either install Streamlit directly or using the D-Tale extra:

• pip install streamlit
• pip install dtale[streamlit]

2) Invoke your Streamlit script using the dtale-streamlit command instead of the streamlit command:

• dtale-streamlit run my_streamlit_script.py

Updating your Streamlit script to use D-Tale

Saving data to D-Tale:

import pandas as pd
from dtale.views import startup

df = pd.DataFrame([1, 2, 3, 4])
startup(data_id="1", data=df)

Retrieving data from D-Tale

from dtale.app import get_instance

# remember we set the data_id of our previous dataframe was "1"
df = get_instance("1").data

This will allow you to gain access to any dataframe you've passed to D-Tale (assuming you've remembered the data_id)

Retireving data on the front end for display in <iframe>

<iframe src="/dtale/main/1" />

This will display the standard D-Tale grid which you can perform any D-Tale operation on.

Creating links to open D-Tale in new tab

<a href="/dtale/main/1" target="_blank">Dataframe 1</a>

Here's a demo of a couple ways to use D-Tale within Streamlit

And here's the source code of the two examples in that clip:

• Altering a Dataframe
• Scraping baseball-reference.com

Hope this leads to lots of new ideas of how Flask can be used within Streamlit! Please support open-source by putting your ⭐ on this repo!