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import streamlit as st | |
import pandas as pd | |
import altair as alt | |
import urllib | |
from streamlit.server.server import Server | |
from streamlit.report_thread import get_report_ctx | |
@st.cache | |
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"] | |
) | |
min_elts, max_elts = st.slider("How many %ss (select a range)?" % "boop", 0, 25, [10, 20]) | |
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) | |
ctx = get_report_ctx() | |
print(ctx.query_string) | |
session_info = Server.get_current()._get_session_info(ctx.session_id) | |
print(session_info.ws.request.headers) | |
except urllib.error.URLError as e: | |
st.error( | |
""" | |
**This demo requires internet access.** | |
Connection error: %s | |
""" | |
% e.reason | |
) |
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