# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022-2025)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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from urllib.error import URLError

import altair as alt
import pandas as pd

import streamlit as st
from streamlit.hello.utils import show_code


def data_frame_demo():
    @st.cache_data
    def get_UN_data():
        AWS_BUCKET_URL = "https://streamlit-demo-data.s3-us-west-2.amazonaws.com"
        df = pd.read_csv(AWS_BUCKET_URL + "/agri.csv.gz")
        return df.set_index("Region")

    try:
        df = get_UN_data()
        countries = st.multiselect(
            "Choose countries", list(df.index), ["China", "United States of America"]
        )
        if not countries:
            st.error("Please select at least one country.")
        else:
            data = df.loc[countries]
            data /= 1000000.0
            st.subheader("Gross agricultural production ($B)")
            st.dataframe(data.sort_index())

            data = data.T.reset_index()
            data = pd.melt(data, id_vars=["index"]).rename(
                columns={"index": "year", "value": "Gross Agricultural Product ($B)"}
            )
            chart = (
                alt.Chart(data)
                .mark_area(opacity=0.3)
                .encode(
                    x="year:T",
                    y=alt.Y("Gross Agricultural Product ($B):Q", stack=None),
                    color="Region:N",
                )
            )
            st.altair_chart(chart, use_container_width=True)
    except URLError as e:
        st.error(f"This demo requires internet access. Connection error: {e.reason}")


st.set_page_config(page_title="DataFrame demo", page_icon=":material/table:")
st.title("DataFrame demo")
st.write(
    """
    This demo shows how to use `st.dataframe` to visualize a Pandas DataFrame.
    Data courtesy of the [UN Data Explorer](http://data.un.org/Explorer.aspx).
    """
)
data_frame_demo()
show_code(data_frame_demo)