team-10/env/Lib/site-packages/streamlit/hello/dataframe_demo.py
2025-08-02 07:34:44 +02:00

71 lines
2.4 KiB
Python

# 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.
# See the License for the specific language governing permissions and
# limitations under the License.
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() -> None:
@st.cache_data
def get_un_data() -> pd.DataFrame:
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)