Create app.py

app.py

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+import streamlit as st 
+
+import pandas as pd
+import numpy as np
+
+# Create two datasets
+hospitals_list = [{"City":"New York","State": "NY","Bed Count":1200},{"City":"Los Angeles","State":"CA","Bed Count":1400},{"City":"Chicago","State":"IL","Bed Count":1650}]
+
+state_data = [{"State":"NY","Population": 8.5e6,"Square Miles": 54.556},{"State":"CA","Population": 39.25e6,"Square Miles": 163.696},{"State":"IL","Population": 12.8e6,"Square Miles": 57.914}]
+
+# Create dataframes from the datasets
+hospitals_df = pd.DataFrame(hospitals_list)
+state_df = pd.DataFrame(state_data)
+
+# Merge the two datasets together
+merged_df = pd.merge(hospitals_df, state_df, on="State")
+
+# Display the merged dataset
+st.write("Merged Dataset")
+st.write(merged_df)
+
+# Calculate average beds per square mile
+st.write("Calculated Function")
+st.write(merged_df.loc[:,"Bed Count"]/merged_df.loc[:,"Square Miles"])