StreamLit 仅在每秒更改一次后才使用 st.data

问：

我正在尝试根据用户在具有st.data_editor的不同列中所做的更改来更改列中的值，并希望在更改时实时执行此操作。但以下代码仅在 2 次更改后有效，并且仅显示初始更改。

代码通过运行streamlit run main.py

main.py

from page import page

page()

page.py

import streamlit as st
import pandas as pd


boq_df = pd.DataFrame()


def update_dataframe():
    boq_df.loc[boq_df["ANALYZE"] == False, "TYPE"] = None
    boq_df.ffill(inplace=True)


def page():
    global boq_df

    st.write("# Test")

    if st.button("Analyze", type="primary"):
        boq_df = pd.DataFrame(
            data={
                "ANALYZE": [True, False, True],
                "CAT": ["Car", "Truck", "Bike"],
                "TYPE": ["blue", False, "yellow"],
                "DESC": ["two door", "four door", "single"],
            }
        )

    if not boq_df.empty:
        boq_df = st.data_editor(boq_df, height=700, on_change=update_dataframe())

Python Pandas DataFrame 人工智能 StreamLit

import streamlit as st
import pandas as pd


# Create a session variable
if 'boq' not in st.session_state:
    st.session_state['boq'] = pd.DataFrame()


def page():
    st.write("# Test")

    # If button is pressed, assign a pre-built dataframe to the variable.
    if st.button("Analyze", type="primary"):
        st.session_state['boq'] = pd.DataFrame(
            data={
                "ANALYZE": [True, False, True],
                "CAT": ["Car", "Truck", "Bike"],
                "TYPE": ["blue", False, "yellow"],
                "DESC": ["two door", "four door", "single"],
            }
        )

    # If variable is not empty, construct a data_editor.
    if not st.session_state['boq'].empty:
        edited_df = st.data_editor(
            st.session_state['boq'],
            height=700
        )

        # If column "ANALYZE" is set to False, set the value of
        # "TYPE" to None. Be sure to update column "TYPE" only if
        # there are changes to column "ANALYZE".
        is_equal = edited_df['ANALYZE'].equals(st.session_state['boq']['ANALYZE'])
        if not is_equal:
            edited_df.loc[edited_df["ANALYZE"] == False, "TYPE"] = None
            edited_df.ffill(inplace=True)
            st.session_state['boq'] = edited_df  # update the variable

            # Set streamlit to rerun the script from top to bottom
            # to update the data editor.
            st.rerun()

page()

StreamLit 仅在每秒更改一次后才使用 st.data_editor 更新 DataFrame

streamlit only updates dataframe after every second change using st.data_editor

main.py

page.py

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