I am trying to create an editable dataframe by loading data from a csv file into a dataframe, and then passing it to the data_editor, which would return df_edited.
What I would like to have as a result, is this df_edited to be saved again and reused in the data_editor. Basically, for every change to be saved in the csv and reflected back in the data_editor.
I am noticing that I have to edit the dataframe twice for the changes to be reflected. I believe this is due to the code running top down every time an edit is detected, and I am not quite sure how to ensure that the edited dataframe would load up after saving.
I have tried using states and callbacks, but so far no luck.
I’m experiencing the same issue. When reading CSV or JSON files, the changes are only saved after editing the st.data_editor twice. I attempted to use @tonykip’s solution, but it didn’t work. @Paul_Bezko, were you able to resolve this issue?
Here’s an update version using session state:
if 'df' not in st.session_state:
st.session_state.df = pd.DataFrame(data=pd.read_csv("data/data.csv"))
edited_df = st.data_editor(st.session_state.df, use_container_width=True, hide_index=True)
edited_df.to_csv("data/data.csv", index=False)
It kinda works, but as soon as I leave the page and come back to it, the data_editor gets the value from the session_state and updates the csv with the old value.