import streamlit as st
import seaborn as sns
sns.set()
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
image = Image.open('barchart_hour.jpg')



def run():

    # Membuat Title
    st.title('Exploratory Data Analysis')

    # Membuat Sub Header
    st.subheader('EDA For American Youtube trending videos')

    # Membuat Deskripsi
    st.write('This page made by Sam')

    # Membuat Garis lurus
    st.markdown('---')

    # Magic Syntax
    '''
    Ma ma mia ma ma mia
    '''

    # Show DataFrame
    raw_data = pd.read_csv('USvideos.csv')
    st.dataframe(raw_data.sample(100))

    st.write('### scatterplot views(in hundred millions) vs likes')
    fig = plt.figure(figsize=(15, 10))
    sns.scatterplot(x=raw_data['views'],y=raw_data['likes'])
    st.pyplot(fig)

    st.write('### scatterplot views(in hundred millions) vs comment_counts')
    fig = plt.figure(figsize=(15, 10))
    sns.scatterplot(x=raw_data['views'],y=raw_data['comment_count'], palette='hls')
    st.pyplot(fig)

    st.write('### Views(in millions) by video published hour')
    st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels="RGB", output_format="auto")

if __name__ == '__main__':
    run()