Disable download button in data editor

Using Streamlit
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1

I am using data editor to show the data on the page however it has download icon which allows anyone to easily download the data while. It has also has a find icon which is helpful as it highlights the text in data editor. I would like to keep the find icon and I want to disable the download button. What is the best way to disable the download icon and keep the search icon? @blackary

2

Hey @berohitverma, it looks like this GitHub issue is related to your question: Possibility to disable the "Download as CSV" button on st.dataframe/st.data_editor · Issue #8402 · streamlit/streamlit · GitHub
Based on the conversation there, it doesn’t look like we support an easy way to disable the download button for data editor at this moment.

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I posted a comment at GitHub. I am really looking for this feature or a way to do it as it poses a risk of data leakage (potentially with an icon/button that is built by the app designer). Do you think if this feature can be built? or if there are other ways to do it?

4

Great, replying and voting on the GitHub issue is the best action as it helps us to assess the demand for features and requests :slight_smile:
We have thought in the past about making the toolbar customizable but we don’t have anything concrete yet and also don’t know to what degree we would allow customization.

A workaround might be to leverage the HTML structure (e.g. classNam3) or so, and apply CSS on it. I am sure that this would be possible!
In the latest develop branch we have made some improvements on stabilizing our CSS names so that they do not change between releases. However, I don’t want to encourage this as we don’t consider it to be a very public API or approach :wink:

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5

In terms of a temporary workaround, you can hide the button with CSS like this

import streamlit as st

data = {
    "foo": "bar",
    "bar": "foo",
}

st.dataframe(data)


st.html("""
<style>
[data-testid=stElementToolbarButton]:first-of-type {
    display: none;
}
</style>
""")

But as @raethlein said, this isn’t necessarily going to work in future releases, as the structure of the dataframe html may change.

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