Editable dataframe dropdown

Using Streamlit
1

I see that you can change a column type to categorical to render a dropdown but that takes only the values currently in the column. Is there a way to pass a custom list of values that is shown as dropdown options for a column?

2

Could you post a minimal example code?

3

You can add additional values to the dropdown - see here. Not sure if you can remove existing options though.

1 Like
4

Try the remove_categories method.

import pandas as pd
import streamlit as st

df = pd.DataFrame(
    [
        {"command": "st.selectbox", "rating": 4, "is_widget": True},
        {"command": "st.balloons", "rating": 5, "is_widget": False},
        {"command": "st.time_input", "rating": 3, "is_widget": True},
    ]
)

custom_cat = ['aaa', 'bbb']

df["command_as_category"] = (
    df["command"].astype("category").cat.remove_categories(df['command']).cat.add_categories(custom_cat)
)

edited_df = st.experimental_data_editor(df)
1 Like
5

I don’t want to create new column. I’d like the dropdown to shown for an existing column. I.e in the above code for command column. Is it possible?

6

Yes

7

Just change command_as_category to command.

1 Like
8

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