app.py

import pandas as pd
import streamlit as st

# Read the CSV file into a Pandas DataFrame
df = pd.read_csv('cph_airbnb_listings.csv')

# Sort the DataFrame by 'neighbourhood' and then by 'price'
sorted_df = df.sort_values(by=['neighbourhood', 'price'])

# Create a Streamlit app
st.title('my_first_app')

# Allow user to select a specific neighbourhood
selected_neighbourhood = st.selectbox('Select Neighbourhood', sorted_df['neighbourhood'].unique())

# Filter the DataFrame based on selected neighbourhood
filtered_df = sorted_df[sorted_df['neighbourhood'] == selected_neighbourhood]

# Allow user to set a price range filter
price_range = st.slider('Select Price Range', min_value=0, max_value=10000, step=10, value=(0, 1000))

# Filter the DataFrame based on selected price range
filtered_df = filtered_df[(filtered_df['price'] >= price_range[0]) & (filtered_df['price'] <= price_range[1])]

# Display the filtered DataFrame
st.write('Below is the sorted and filtered data:')
st.write(filtered_df)