Thu Aug 17 18:13:08 CST 2023 inscode

.inscode

-run = "pip install -r requirements.txt;python main.py"
+run = "pip install -r requirements.txt;steamlit run main.py"
+language = "python"
 
 [packager]
 AUTO_PIP = true
@@ -9,4 +10,7 @@ PATH = "${VIRTUAL_ENV}/bin:${PATH}"
 PYTHONPATH = "$PYTHONHOME/lib/python3.10:${VIRTUAL_ENV}/lib/python3.10/site-packages"
 REPLIT_POETRY_PYPI_REPOSITORY = "http://mirrors.csdn.net.cn/repository/csdn-pypi-mirrors/simple"
 MPLBACKEND = "TkAgg"
-POETRY_CACHE_DIR = "/root/${PROJECT_DIR}/.cache/pypoetry"
\ No newline at end of file
+POETRY_CACHE_DIR = "/root/${PROJECT_DIR}/.cache/pypoetry"
+
+[debugger]
+program = "main.py"

main.py

-print('欢迎来到 InsCode')
\ No newline at end of file
+import streamlit as st
+import pandas as pd
+import altair as alt
+
+# 加载数据集
+@st.cache
+def load_data():
+    url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/diamonds.csv"
+    data = pd.read_csv(url)
+    return data
+
+# 创建可视化图表
+def create_chart(data):
+    chart = alt.Chart(data).mark_point().encode(
+        x='carat',
+        y='price',
+        color='cut'
+    ).interactive()
+    return chart
+
+# 主函数
+def main():
+    st.title('Diamonds Dataset')
+    st.write("This is a demo of Streamlit app")
+
+    # 加载数据
+    data = load_data()
+
+    # 显示数据集
+    if st.checkbox('Show raw data'):
+        st.write(data.head())
+
+    # 显示数据集描述信息
+    st.write("Dataset Description:")
+    st.write(data.describe())
+
+    # 可视化图表
+    st.write("Chart:")
+    chart = create_chart(data)
+    st.write(chart)
+
+if __name__ == '__main__':
+    main()