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| 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('hotel_bookings.csv') | |
| fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(12, 10)) | |
| sns.histplot(data=d, x='lead_time', hue='hotel', multiple='stack', bins=20, ax=ax[0, 0], palette='Set1') | |
| axes[0, 0].set_title("Booking Behavior by Hotel Type (Lead Time)") | |
| sns.barplot(data=d, x='hotel', y='is_canceled', ax=ax[0, 1], palette='Set1') | |
| axes[0, 1].set_title("Cancellation Rate by Hotel Type") | |
| sns.countplot(data=d, x='booking_changes', hue='hotel', ax=ax[1, 0], palette='Set1') | |
| axes[1, 0].set_title("Booking Changes by Hotel Type") | |
| sns.countplot(data=d, x='hotel', ax=ax[1, 1], palette='Set1') | |
| axes[1, 1].set_title("Total Bookings by Hotel Type") | |
| plt.tight_layout() | |
| plt.show() | |
| # 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() |