app.py

import streamlit as st
import pandas as pd
import plotly.express as px

# Load your dataframes
df_tv_series= pd.read_csv('series_after_cleaning.csv')
df_movies= pd.read_csv('movie_after_cleaning.csv')

df_movies['genre'] = df_movies['genre'].str.split(',')
df_tv_series['genre'] = df_tv_series['genre'].str.split(',')

# Function to generate treemap
def create_treemap(df, title):
    fig = px.treemap(df, path=['parentalguide'], title=title)
    return fig
def create_genre_bar_chart(df, title):
    # Explode the genre column to count each genre separately
    df_exploded = df.explode('genre')
    genre_counts = df_exploded['genre'].value_counts().reset_index()
    genre_counts.columns = ['genre', 'count']
    fig = px.bar(genre_counts, x='genre', y='count', title=title)
    return fig

# Streamlit app
st.title('Parental Guide Treemaps')

# Split into two columns
col1, col2 = st.columns(2)

# Initialize variable for selection
selection = None

# Add buttons in each column
with col1:
    if st.button('Movies'):
        selection = 'Movies'

with col2:
    if st.button('TV Series'):
        selection = 'TV Series'

# Display the corresponding treemap in the center
if selection == 'Movies':
    st.plotly_chart(create_treemap(df_movies, 'Parental Guide - Movies'), use_container_width=True)
    st.plotly_chart(create_genre_bar_chart(df_movies, 'Top Genres - Movies'), use_container_width=True)
elif selection == 'TV Series':
    st.plotly_chart(create_treemap(df, 'Parental Guide - TV Series'), use_container_width=True)

    st.plotly_chart(create_genre_bar_chart(df_tv_series, 'Top Genres - TV Series'), use_container_width=True)