chore: refactor plot 400, 600

pages/1_📈_Plotting.py

@@ -51,23 +51,23 @@ if not df_base.empty and n:
             st.caption(f"Axes of df_plot: {df_plot.axes}")
             if 'df_plot' not in st.session_state:
                 st.session_state['df_plot'] = df_plot
-            with st.expander("See explanation"):
-                st.caption("The chart above shows...")
 
 # Draw plot
 if 'df_plot' in st.session_state:
     with st.spinner(f"Drawing plot to visualize {plot.lower()}"):
         st.caption("Your visualization:")
-        st.caption("df_plot:")
-        st.dataframe(st.session_state.df_plot)
+        # st.caption("df_plot:")
+        # st.dataframe(st.session_state.df_plot)
         # st.line_chart(st.session_state.df_plot, y=list(df_plot.columns))
-        st.caption("df_plot transposed:")
+        # st.caption("df_plot transposed:")
         df_plot_t = df_plot.copy(deep=True).transpose()
         df_plot_t.columns = [str(column) for column in range(len(df_plot_t.columns))]
-        st.caption(f"Columns of df_plot: {list(df_plot_t.columns)}")
-        st.caption(f"Axes of df_plot: {df_plot_t.axes}")
-        st.dataframe(df_plot_t)
-        st.line_chart(df_plot_t, y=list(df_plot_t.columns), height=600, width=600)
+        # st.caption(f"Columns of df_plot: {list(df_plot_t.columns)}")
+        # st.caption(f"Axes of df_plot: {df_plot_t.axes}")
+        # st.dataframe(df_plot_t)
+        st.line_chart(df_plot_t, y=list(df_plot_t.columns), height=400, width=600)
+        with st.expander("See explanation"):
+                st.caption("The chart above shows...")
 elif df_base.empty and file:
     st.warning("Consider running outlier detection to clean your data!", icon="⚠️")