test: y with string casting

pages/1_📈_Plotting.py

@@ -43,8 +43,8 @@ if not df_base.empty:
             feature = "relative_pupil_dilation"
             df_plot = df_base.head(n_plot)
             st.caption(f"Selected number of samples: {n_plot}")
-            st.caption(f"Size of df_plot: {df_plot.axes}")
             df_plot = [ini_list.strip('][').split(',') for ini_list in df_plot[feature]]
+            st.caption(f"Size of df_plot: {df_plot.axes}")
             st.caption("The visualized data:")
             df_plot = pd.DataFrame(df_plot)
             # st.dataframe(df_plot)
@@ -58,8 +58,8 @@ if 'df_plot' in list(st.session_state.keys()):
     with st.spinner(f"Drawing plot to visualize {plot.lower()}"):
         st.caption("Your visualization:")
         st.dataframe(st.session_state.df_plot)
-        st.line_chart(st.session_state.df_plot, y=list(df_plot.columns))
+        st.line_chart(st.session_state.df_plot, y=[str(v) for v in list(df_plot.columns)])
         st.dataframe(st.session_state.df_plot.transpose())
-        st.line_chart(st.session_state.df_plot.transpose(), y=list(df_plot.columns))
+        st.line_chart(st.session_state.df_plot.transpose(), y=[str(v) for v in list(df_plot.transpose().columns)])
 elif df_base.empty and file:
     st.warning("Consider running outlier detection to clean your data!", icon="⚠️")