Update app.py

app.py

@@ -2,61 +2,4 @@ import pandas as pd
 import streamlit as st
 import numpy as np
 
-st.set_page_config(page_title='Survey Results')
-st.header('Survey Results')
-st.subheader('the results of amount data')
-
-# load dataframe
-excel_file = 'completedcard.xlsx'
-sheet_name = 'completedcard'
-
-df = pd.read_excel(excel_file,
-                   sheet_name=sheet_name,
-                   usecols='A:F',
-                   header=0)
-
-df_participants = pd.read_excel(excel_file,
-                                sheet_name=sheet_name,
-                                usecols='N:O',
-                                header=0)
-
-st.dataframe(df)
-
-pie_chart = px.pie(df_participants,
-                   title='Total Results',
-                   values= 'participant',
-                   names= 'types')
-
-st.plotly_chart(pie_chart)
-
-# streamlit selection
-tipe = df['type'].unique().tolist()
-years = df['year'].unique().tolist()
-
-year_selection = st.slider('year:',
-                            min_value= min(years),
-                            max_value= max(years),
-                            value=(min(years), max(years)))
-
-type_selection = st.multiselect('type:',
-                                tipe,
-                                default=tipe)
-
-# filter selection
-mask = (df['year'].between(*year_selection)) & (df['type'].isin(type_selection))
-number_of_result = df[mask].shape[0]
-st.markdown(f'*The results: {number_of_result}*')
-
-# group data frame
-df_grouped = df[mask].groupby(by=['type']).count()[['year']]
-
-df_grouped = df_grouped.reset_index()
-
-# bar chart
-bar_chart = px.bar(df_grouped,
-                   x= 'type',
-                   y='year',
-                   text= 'type',
-                   color_discrete_sequence= ['black']*len(df_grouped),
-                   template='plotly_white')
-st.plotly_chart(bar_chart)
+st.title('hhhh')