eda.py

import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.express as px
from PIL import Image

st.set_page_config(
    page_title= 'FIFA 2022',
    layout='wide',
    initial_sidebar_state='expanded'
)

hide_streamlit_style = """
            <style>
            #MainMenu {visibility: hidden;}
            footer {visibility: hidden;}
            </style>
            """
st.markdown(hide_streamlit_style, unsafe_allow_html=True) 




def run():
    
    st.title('Heart Failure Prediction')
    # st.subheader('Heart Failure Prediction Exploratory Data Analysis')
    # #Show Dataframe
    # d = pd.read_csv('h8dsft_P1G3_Ardifa-Rizky-Saputra.csv')
    # st.dataframe(d)

    # st.write('#### scatterplot berdasarkan Input User')
    # pilihan1 = st.selectbox('Pilih column : ', ('age', 'creatinine_phosphokinase','ejection_fraction', 'platelets','serum_creatinine', 'serum_sodium', 'time'),key=1)
    # pilihan2 = st.selectbox('Pilih column : ', ('age', 'creatinine_phosphokinase','ejection_fraction', 'platelets','serum_creatinine', 'serum_sodium', 'time'),key=2)
    # pilihan3 = st.selectbox('Pilih column : ', ('anaemia', 'diabetes','high_blood_pressure', 'sex','smoking', 'DEATH_EVENT'),key=3)
    # fig = plt.figure(figsize=(15, 5))
    # sns.scatterplot(data=d,x=d[pilihan1],y=d[pilihan2],hue=d[pilihan3])
    # st.pyplot(fig)
    

if __name__ == '__main__':
    run()