便利店商品推荐数字大屏：基于python和streamlit

基于python和streamlit实现的便利店商品推荐大屏，针对选择困难症消费者。

import streamlit as st
import pandas as pd
import numpy as np
import altair as alt
from datetime import datetime, timedelta
import time# 模拟数据生成
def generate_data():np.random.seed(42)products = ['咖啡+三明治', '泡面+火腿肠', '酸奶+水果盒', '薯片+可乐', '饭团+茶饮','巧克力+能量棒', '冰激凌+饼干', '寿司+味增汤', '沙拉+果汁', '关东煮套餐']data = pd.DataFrame({'组合名称': products,'本周销量': np.random.randint(100, 500, len(products)),'总价(元)': [15, 12, 18, 10, 20, 25, 13, 22, 17, 16],'场景标签': ['早餐', '宵夜', '健康', '休闲', '午餐', '健身', '零食', '日式', '轻食', '热食'],'库存状态': ['充足'] * 8 + ['低库存'] * 2})return data# 实时趋势模拟
def realtime_trend():timestamps = [datetime.now() - timedelta(hours=i) for i in range(24)]return pd.DataFrame({'时间': timestamps,'销量': np.random.poisson(lam=50, size=24).cumsum()})# 大屏布局
def main():st.set_page_config(layout="wide")st.title("🏪 购物决策")# 数据加载data = generate_data()trend_data = realtime_trend()# 第一行：核心指标col1, col2, col3 = st.columns(3)with col1:st.metric("🔥 今日最热组合", "泡面+火腿肠", "+15%销量增长")with col2:st.metric("🕒 最佳购买时段", "20:00-22:00", "销量峰值")with col3:st.metric("📈 实时订单量", np.random.randint(50, 200), "环比+8%")# 第二行：主视觉区tab1, tab2, tab3 = st.tabs(["TOP10组合", "实时趋势", "场景导航"])with tab1:# 组合排行榜（带交互）c = alt.Chart(data).mark_bar().encode(x='本周销量:Q',y=alt.Y('组合名称:N', sort='-x'),color=alt.Color('总价(元):Q', scale=alt.Scale(scheme='goldred')),tooltip=['组合名称', '本周销量', '总价(元)', '库存状态']).properties(height=400)st.altair_chart(c, use_container_width=True)with tab2:# 实时趋势图line_chart = alt.Chart(trend_data).mark_line().encode(x='时间:T',y='销量:Q',color=alt.value('#FF6B6B')).properties(height=400)st.altair_chart(line_chart, use_container_width=True)with tab3:# 场景导航按钮selected_scene = st.radio("选择消费场景:",["早餐", "宵夜", "健康", "全部"],horizontal=True)filtered_data = data[data['场景标签'] == selected_scene] if selected_scene != "全部" else datast.write(f"### {selected_scene}推荐组合")cols = st.columns(3)for idx, (_, row) in enumerate(filtered_data.iterrows()):with cols[idx % 3]:st.image(f"https://picsum.photos/200/100?random={idx}",use_column_width=True)st.caption(f"**{row['组合名称']}**  |  ¥{row['总价(元)']}")st.progress(row['本周销量'] / 500, text=f"本周销量 {row['本周销量']}份")# 第三行：交互模块with st.expander("🎮 组合探索游戏"):left, right = st.columns(2)with left:st.subheader("🔀 随机惊喜生成器")if st.button("生成我的幸运组合"):combo = np.random.choice(data['组合名称'], 2, replace=False)st.success(f"🎉 推荐组合：{combo[0]} + {combo[1]} 立减3元！")with right:st.subheader("🆚 组合PK投票")vote_options = np.random.choice(data['组合名称'], 2, replace=False)vote = st.radio("哪个更吸引你?", vote_options)st.write(f"当前票数: {np.random.randint(50, 100)} vs {np.random.randint(50, 100)}")# 运行程序
if __name__ == "__main__":main()