Create app.py

app.py

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+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)