Mise à jour de Monitor.py et autres scripts
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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022-2025)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from urllib.error import URLError
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import altair as alt
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import pandas as pd
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import streamlit as st
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from streamlit.hello.utils import show_code
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def data_frame_demo():
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@st.cache_data
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def get_UN_data():
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AWS_BUCKET_URL = "https://streamlit-demo-data.s3-us-west-2.amazonaws.com"
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df = pd.read_csv(AWS_BUCKET_URL + "/agri.csv.gz")
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return df.set_index("Region")
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try:
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df = get_UN_data()
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countries = st.multiselect(
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"Choose countries", list(df.index), ["China", "United States of America"]
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)
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if not countries:
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st.error("Please select at least one country.")
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else:
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data = df.loc[countries]
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data /= 1000000.0
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st.subheader("Gross agricultural production ($B)")
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st.dataframe(data.sort_index())
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data = data.T.reset_index()
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data = pd.melt(data, id_vars=["index"]).rename(
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columns={"index": "year", "value": "Gross Agricultural Product ($B)"}
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)
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chart = (
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alt.Chart(data)
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.mark_area(opacity=0.3)
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.encode(
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x="year:T",
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y=alt.Y("Gross Agricultural Product ($B):Q", stack=None),
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color="Region:N",
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)
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)
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st.altair_chart(chart, use_container_width=True)
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except URLError as e:
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st.error(f"This demo requires internet access. Connection error: {e.reason}")
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st.set_page_config(page_title="DataFrame demo", page_icon=":material/table:")
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st.title("DataFrame demo")
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st.write(
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"""
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This demo shows how to use `st.dataframe` to visualize a Pandas DataFrame.
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Data courtesy of the [UN Data Explorer](http://data.un.org/Explorer.aspx).
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"""
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)
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data_frame_demo()
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show_code(data_frame_demo)
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