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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
def run():
#Membuat title
st.title('FIFA 2022 Player Rating Prediction')
#Membuat subheader
st.subheader('EDA untuk Analisa Dataset FIFA 2022')
#Tambahkan gambar
image = Image.open('bola.jpg')
st.image(image, caption = 'FIFA 2022')
#Menambahkan deskripsi
st.write('Page ini dibuat oleh Bani')
st.write('**Mardhya Malik**')
st.write('*Mardhya Malik*')
st.write('# Mardhya Malik')
st.write('## Mardhya Malik')
st.write('### Mardhya Malik')
#Membuat garis
st.markdown('----')
#Masukkan pandas dataframe
#Show dataframe
df = pd.read_csv('https://raw.githubusercontent.com/FTDS-learning-materials/phase-1/master/w1/P1W1D1PM%20-%20Machine%20Learning%20Problem%20Framing.csv')
st.dataframe(df)
#Membuat bar plot
st.write('#### Plot AttackingWorkRate')
fig = plt.figure(figsize=(15,5))
sns.countplot(x='AttackingWorkRate', data = df)
st.pyplot(fig)
#Membuat histogram
st.write('#### Histogram of Rating')
fig = plt.figure(figsize=(15,5))
sns.histplot(df['Overall'], bins = 30, kde = True)
st.pyplot(fig)
#membuat histogram berdasarkan inputan user
st.write('#### Histogram berdasarkan input user')
#kalo mau pake radio button, ganti selectbox jadi radio
option = st.selectbox('Pilih Column : ', ('Age', 'Weight', 'Height', 'ShootingTotal'))
fig = plt.figure(figsize= (15,5))
sns.histplot(df[option], bins = 30, kde = True)
st.pyplot(fig)
#Membuat Plotly plot
st.write('#### Plotly Plot - ValueEUR vs Overall')
fig = px.scatter(df, x = 'ValueEUR', y = 'Overall', hover_data = ['Name', 'Age'])
st.plotly_chart(fig)
if __name__ == '__main__':
run()
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