feat: n samples and messaging improved Plotting

pages/1_📈_Plotting.py

@@ -3,9 +3,8 @@ import pandas as pd
 
 
 st.header("Plotting Time-Series Data")
-st.markdown("Users can load their time-series data in **.csv** format and select particular feature and plot-type to visualize it.\
+st.markdown("Users can load their time-series data in **.csv** format and select a particular feature and plot-type to visualize it.\
  Go ahead and use the sidebar on the left to upload your data files and to start visualizing it!")
-st.caption("Upload your data using the sidebar to start and select a plot-type to start :sunglasses:")
 
 
 def plot_collection(plot_only_this, collection, number_of_desired_plots=0):
@@ -28,12 +27,24 @@ def plot_collection(plot_only_this, collection, number_of_desired_plots=0):
             
 
 with st.sidebar:
-    plot = st.radio("Select the kind of visualization:",('Plot feature', 'Compare users', 'Plot distribution'))
+    plot = st.radio("Select the kind of visualization:",('Plot feature collection', 'Compare users', 'Plot distribution'))
     file = st.file_uploader("Load CSV file", accept_multiple_files = False)
     if file:
-        df = pd.read_csv(file)
+        df = pd.read_csv(file, index_col = False)
         if 'df' not in st.session_state:
                 st.session_state['df'] = df
+        st.success("Your data has been successfully loaded! 🤗")
 
 if 'df' in list(st.session_state.keys()):
-    st.dataframe(st.session_state.df)
+    st.markdown("Your uploaded data:") 
+    st.dataframe(st.session_state.df)
+else:
+    else:
+        st.caption("Upload your data using the sidebar and select a plot-type to start :sunglasses:")
+
+df_base = st.dataframe(st.session_state.df)
+n = len(df_base)
+st.info("Your data has {} samples.")
+n_plot = st.slider("How many samples do you want to plot in the same graph", list(range(n)))
+st.write(f"Action: {plot} using {n_plot} samples")
+st.button("Plot now! 📊")