Update app.py

app.py

@@ -38,24 +38,33 @@ import pydeck as pdk
 
 def ShowCityDataframe(uscities, US):
     df = pd.read_csv(uscities)
-    df1 = pd.read_csv(uscities)
-    df2 = pd.read_csv(uscities)
     
     st.title("City FIPS, Location, and Population")
     st.text("Search for any city in the United States:")
 
     search_query = st.text_input(label="City Name", value="")
     if search_query != "":
-        df = df1[df1["city"].str.contains(search_query, case=False)]
+        df = df[df["city"].str.contains(search_query, case=False)]
     st.subheader("City Detail")
     st.write(df)
-    
+
+    df = pd.read_csv(uscities) # reload
+
     search_query2 = st.text_input(label="Zip Code", value="")
     if search_query2 != "":
-        df = df2[df2["zips"].str.contains(search_query2, case=False)]
+        df = df[df["zips"].str.contains(search_query2, case=False)]
     st.subheader("Zip Code Area Detail")
     st.write(df)
 
+    df = pd.read_csv(uscities) # reload
+
+    search_query3 = st.text_input(label="State", value="")
+    if search_query2 != "":
+        df = df[df["state_name"].str.contains(search_query3, case=False)]
+    st.subheader("State Detail")
+    st.write(df)
+
+    
 uscities = "uscities.csv"  # CSV - Columns are: "city","city_ascii","state_id","state_name","county_fips","county_name","lat","lng","population","density","source","military","incorporated","timezone","ranking","zips","id"
 US = "US.txt"   # TSV - Columns are: Country	Zip	City	State	Area	AreaCode	Latitude	Longitude	Include
                 # TSV Columns sample:       US	99553	Akutan	Alaska	AK	Aleutians East	013			54.143	-165.7854	1