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Update app.py
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app.py
CHANGED
@@ -38,6 +38,8 @@ import pydeck as pdk
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def ShowCityDataframe(uscities, US):
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df = pd.read_csv(uscities)
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st.title("City FIPS, Location, and Population")
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st.text("Search for any city in the United States:")
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@@ -48,21 +50,17 @@ def ShowCityDataframe(uscities, US):
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st.subheader("City Detail")
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st.write(df)
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df = pd.read_csv(uscities) # reload
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search_query2 = st.text_input(label="Zip Code", value="")
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if search_query2 != "":
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st.subheader("Zip Code Area Detail")
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st.write(
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df = pd.read_csv(uscities) # reload
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search_query3 = st.text_input(label="State", value="")
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if search_query3 != "":
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st.subheader("State Detail")
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st.write(
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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"
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def ShowCityDataframe(uscities, US):
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df = pd.read_csv(uscities)
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df2 = pd.read_csv(uscities)
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df3 = pd.read_csv(uscities)
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st.title("City FIPS, Location, and Population")
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st.text("Search for any city in the United States:")
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st.subheader("City Detail")
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st.write(df)
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search_query2 = st.text_input(label="Zip Code", value="")
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if search_query2 != "":
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df2 = df2[df2["zips"].str.contains(search_query2, case=False)]
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st.subheader("Zip Code Area Detail")
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st.write(df2)
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search_query3 = st.text_input(label="State", value="")
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if search_query3 != "":
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df3 = df3[df3["state_name"].str.contains(search_query3, case=False)]
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st.subheader("State Detail")
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st.write(df3)
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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"
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