chore: cleanup

pages/1_📈_Plotting.py

@@ -7,6 +7,7 @@ st.header("Plotting Time Series Data")
 st.markdown("Users can load their time-series data in **.csv** format and select a particular feature and plot-type.\
  Go ahead and use the sidebar on the left to upload your data files to start visualizing it!")
 
+# Load and config
 with st.sidebar:
     plot = st.radio("Select the kind of visualization:",('Feature collection', 'Users comparison', 'Data distribution'))
     file = st.file_uploader("Load CSV file", accept_multiple_files = False)
@@ -31,6 +32,7 @@ df_base = st.session_state.df if 'df' in st.session_state else pd.DataFrame()
 n = len(df_base)
 col1, col2 = st.columns(2)
 
+# Prepare data
 if not df_base.empty and not n:
     with col1:
         st.info(f"Your data has {n} samples.")
@@ -46,14 +48,13 @@ if not df_base.empty and not n:
             df_plot = [ini_list.strip('][').split(',') for ini_list in df_plot[feature]]
             df_plot = pd.DataFrame(df_plot)
             df_plot.columns = [str(column) for column in range(len(df_plot.columns))]
-            # st.caption(f"Columns of df_plot: {list(df_plot.columns)}")
             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...")
-            # 
-    # with col2:
+
+# Draw plot
 if 'df_plot' in st.session_state:
     with st.spinner(f"Drawing plot to visualize {plot.lower()}"):
         st.caption("Your visualization:")
@@ -69,4 +70,5 @@ if 'df_plot' in st.session_state:
         st.line_chart(df_plot_t, y=list(df_plot_t.columns), height=600, width=600)
 elif df_base.empty and file:
     st.warning("Consider running outlier detection to clean your data!", icon="⚠️")
-st.caption(f"developer:: session_state keys: {list(session_state.keys())}")
+    
+st.caption(f"developer:: session_state keys: {list(st.session_state.keys())}")