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# Copyright 2018-2022 Streamlit Inc.
#
# 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.
# See the License for the specific language governing permissions and
# limitations under the License.
import streamlit as st
import inspect
import textwrap
import pandas as pd
import altair as alt
from streamlit.hello.utils import show_code
from urllib.error import URLError
def data_frame_demo():
@st.cache
def get_UN_data():
AWS_BUCKET_URL = "http://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.write("### Gross Agricultural Production ($B)", data.sort_index())
data = data.T.reset_index()
data = pd.melt(data, id_vars=["index"]).rename(
columns={"index": "year", "value": "Gross Agricultural Product ($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(
"""
**This demo requires internet access.**
Connection error: %s
"""
% e.reason
)
st.set_page_config(page_title="DataFrame Demo", page_icon="📊")
st.markdown("# DataFrame Demo")
st.sidebar.header("DataFrame Demo")
st.write(
"""This demo shows how to use `st.write` to visualize Pandas DataFrames.
(Data courtesy of the [UN Data Explorer](http://data.un.org/Explorer.aspx).)"""
)
data_frame_demo()
show_code(data_frame_demo)
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