无法在 streamlit 中连接数据框

我试图连接dataframesstreamlit 中以字符串开头的所有内容user_，但出现了错误。

示例代码：

import streamlit as st
import pandas as pd

st.set_page_config(page_title="Science",
                    layout='wide',
                    initial_sidebar_state="expanded")


# sample dataframes
st.session_state.user_df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
st.session_state.user_df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})
st.session_state.df3 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})


# list of dataframes starting with user_
st.session_state.users_list = [name for name in st.session_state if name.startswith('user_')]

st.write(st.session_state.users_list)

# using eval to evaluate string dataframe names
# st.write([eval(st.session_state.name) for st.session_state.name in st.session_state.users_list])

st.session_state.df_final = pd.concat([eval(st.session_state.name) for st.session_state.name 
                                       in st.session_state.users_list], 
                                       ignore_index=True)

st.table(st.session_state.df_final)

更新：

整个逻辑都可以正常工作，但我在streamlit中streamlit遇到了错误，不知道哪里出了问题。非常感谢您的帮助！！

这种没有 streamlit 的逻辑/代码是可行的：

import pandas as pd

user_df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
user_df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})

df3 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})


users_list = ['user_df1','user_df2']

print([eval(name) for name in users_list])

df_final = pd.concat([eval(name) for name in users_list],ignore_index=True)

print('----df_final------')
print(df_final)

输出：

[   A  B
0  1  3
1  2  4,    A  B
0  5  7
1  6  8]
----df_final------
   A  B
0  1  3
1  2  4
2  5  7
3  6  8
``