{"id":6852,"date":"2026-01-13T08:02:22","date_gmt":"2026-01-13T00:02:22","guid":{"rendered":"http:\/\/192.168.1.29\/?p=6852"},"modified":"2026-01-13T08:20:55","modified_gmt":"2026-01-13T00:20:55","slug":"streamlit%e8%82%a1%e7%a5%a8%e5%8f%af%e8%a7%86%e5%8c%96%e7%9c%8b%e6%9d%bfpython%e4%bb%a3%e7%a0%81","status":"publish","type":"post","link":"http:\/\/xc.ipyingshe.net:5347\/?p=6852","title":{"rendered":"streamlit\u80a1\u7968\u53ef\u89c6\u5316\u770b\u677fPython\u4ee3\u7801"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">\u4f7f\u7528\u8bf4\u660e\uff1a<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56\u5e93<\/strong>\uff1abash<br>pip install akshare streamlit plotly pandas numpy<\/li>\n\n\n\n<li><strong>\u8fd0\u884c\u5e94\u7528\u7a0b\u5e8f<\/strong>\uff1abash<br>streamlit run stock_dashboard.py<\/li>\n\n\n\n<li><strong>\u529f\u80fd\u4ecb\u7ecd<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4fa7\u8fb9\u680f\u53c2\u6570\u8bbe\u7f6e<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u8f93\u5165\u80a1\u7968\u4ee3\u7801\uff08\u5982SH600938\u3001SZ000001\uff09<\/li>\n\n\n\n<li>\u9009\u62e9\u6570\u636e\u5468\u671f\uff08\u6700\u8fd11\u4e2a\u6708\u81f32\u5e74\u6216\u81ea\u5b9a\u4e49\u65e5\u671f\uff09<\/li>\n\n\n\n<li>\u9009\u62e9\u8981\u663e\u793a\u7684\u6280\u672f\u6307\u6807\uff08\u5747\u7ebf\u3001RSI\u3001MACD\u3001\u6210\u4ea4\u91cf\uff09<\/li>\n\n\n\n<li>\u8c03\u6574\u6307\u6807\u53c2\u6570\uff08\u5982RSI\u5468\u671f\u3001\u5747\u7ebf\u5468\u671f\uff09<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u4e3b\u754c\u9762\u663e\u793a<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u80a1\u7968\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f\uff08\u6700\u65b0\u4ef7\u3001\u6da8\u8dcc\u5e45\u3001\u6700\u9ad8\u4ef7\u3001\u6700\u4f4e\u4ef7\u7b49\uff09<\/li>\n\n\n\n<li>\u4ea4\u4e92\u5f0fK\u7ebf\u56fe\uff08\u652f\u6301\u7f29\u653e\u3001\u5e73\u79fb\uff09<\/li>\n\n\n\n<li>\u6280\u672f\u6307\u6807\u56fe\u8868\uff08\u53ef\u9009\u62e9\u663e\u793a\uff09<\/li>\n\n\n\n<li>\u80a1\u7968\u6570\u636e\u8868\u683c\uff08\u6700\u8fd150\u6761\u8bb0\u5f55\uff09<\/li>\n\n\n\n<li>\u6570\u636e\u4e0b\u8f7d\u529f\u80fd\uff08CSV\u683c\u5f0f\uff09<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6280\u672f\u7279\u70b9<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528akshare\u83b7\u53d6A\u80a1\u5386\u53f2\u6570\u636e\uff08\u524d\u590d\u6743\uff09<\/li>\n\n\n\n<li>\u4f7f\u7528plotly\u7ed8\u5236\u4ea4\u4e92\u5f0f\u56fe\u8868<\/li>\n\n\n\n<li>\u652f\u6301\u591a\u79cd\u6280\u672f\u6307\u6807\u7684\u8ba1\u7b97\u548c\u663e\u793a<\/li>\n\n\n\n<li>\u6570\u636e\u7f13\u5b58\u673a\u5236\uff0c\u63d0\u9ad8\u6027\u80fd<\/li>\n\n\n\n<li>\u54cd\u5e94\u5f0f\u8bbe\u8ba1\uff0c\u9002\u914d\u4e0d\u540c\u5c4f\u5e55\u5c3a\u5bf8<\/li>\n<\/ul>\n\n\n\n<p>\u8be5\u5e94\u7528\u7a0b\u5e8f\u63d0\u4f9b\u4e86\u4e00\u4e2a\u529f\u80fd\u5b8c\u6574\u7684\u80a1\u7968\u6570\u636e\u53ef\u89c6\u5316\u770b\u677f\uff0c\u7528\u6237\u53ef\u4ee5\u65b9\u4fbf\u5730\u67e5\u770b\u80a1\u7968\u7684K\u7ebf\u56fe\u548c\u5e38\u7528\u6280\u672f\u6307\u6807\uff0c\u5e76\u8fdb\u884c\u57fa\u672c\u7684\u6570\u636e\u5206\u6790\u3002<br><strong>Pytyhon\u4ee3\u7801<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\nimport numpy as np\nimport akshare as ak\nimport streamlit as st\nimport plotly.graph_objects as go\nfrom plotly.subplots import make_subplots\nfrom datetime import datetime, timedelta\n\n# \u8bbe\u7f6e\u9875\u9762\u914d\u7f6e\nst.set_page_config(page_title=\"\u80a1\u7968\u6570\u636e\u770b\u677f\", layout=\"wide\", initial_sidebar_state=\"expanded\")\n\n# \u8bbe\u7f6e\u4e2d\u6587\u663e\u793a\nst.markdown(\"&lt;h1 style='text-align: center;'>\u80a1\u7968\u6570\u636e\u53ef\u89c6\u5316\u770b\u677f&lt;\/h1>\", unsafe_allow_html=True)\n\n# \u4fa7\u8fb9\u680f\u8bbe\u7f6e\nst.sidebar.header(\"\u53c2\u6570\u8bbe\u7f6e\")\n\n# \u80a1\u7968\u4ee3\u7801\u9009\u62e9\nstock_code = st.sidebar.text_input(\"\u80a1\u7968\u4ee3\u7801\", \"SH600938\", help=\"\u4f8b\u5982\uff1aSH600938\uff08\u5de5\u5546\u94f6\u884c\uff09\u3001SZ000001\uff08\u5e73\u5b89\u94f6\u884c\uff09\")\n\n# \u65e5\u671f\u8303\u56f4\u9009\u62e9\ndate_range = st.sidebar.selectbox(\n    \"\u6570\u636e\u5468\u671f\",\n    &#91;\"\u6700\u8fd11\u4e2a\u6708\", \"\u6700\u8fd13\u4e2a\u6708\", \"\u6700\u8fd16\u4e2a\u6708\", \"\u6700\u8fd11\u5e74\", \"\u6700\u8fd12\u5e74\", \"\u81ea\u5b9a\u4e49\u65e5\u671f\"],\n    index=2  # \u9ed8\u8ba4\u9009\u62e9\u6700\u8fd16\u4e2a\u6708\n)\n\n# \u6839\u636e\u9009\u62e9\u8bbe\u7f6e\u65e5\u671f\nif date_range == \"\u81ea\u5b9a\u4e49\u65e5\u671f\":\n    start_date = st.sidebar.date_input(\"\u5f00\u59cb\u65e5\u671f\", datetime.now() - timedelta(days=180))\n    end_date = st.sidebar.date_input(\"\u7ed3\u675f\u65e5\u671f\", datetime.now())\nelse:\n    end_date = datetime.now()\n    if date_range == \"\u6700\u8fd11\u4e2a\u6708\":\n        start_date = end_date - timedelta(days=30)\n    elif date_range == \"\u6700\u8fd13\u4e2a\u6708\":\n        start_date = end_date - timedelta(days=90)\n    elif date_range == \"\u6700\u8fd16\u4e2a\u6708\":\n        start_date = end_date - timedelta(days=180)\n    elif date_range == \"\u6700\u8fd11\u5e74\":\n        start_date = end_date - timedelta(days=365)\n    elif date_range == \"\u6700\u8fd12\u5e74\":\n        start_date = end_date - timedelta(days=730)\n\n# \u8f6c\u6362\u65e5\u671f\u683c\u5f0f\nstart_date_str = start_date.strftime(\"%Y-%m-%d\")\nend_date_str = end_date.strftime(\"%Y-%m-%d\")\n\n# \u6280\u672f\u6307\u6807\u9009\u62e9\nst.sidebar.header(\"\u6280\u672f\u6307\u6807\")\nshow_ma = st.sidebar.checkbox(\"\u663e\u793a\u5747\u7ebf\", True)\nma_periods = st.sidebar.multiselect(\"\u5747\u7ebf\u5468\u671f\", &#91;5, 10, 20, 60, 120, 250], &#91;5, 10, 20, 60])\n\nshow_rsi = st.sidebar.checkbox(\"\u663e\u793aRSI\", True)\nrsi_period = st.sidebar.slider(\"RSI\u5468\u671f\", 6, 24, 14)\n\nshow_macd = st.sidebar.checkbox(\"\u663e\u793aMACD\", True)\n\nshow_volume = st.sidebar.checkbox(\"\u663e\u793a\u6210\u4ea4\u91cf\", True)\n\n# \u83b7\u53d6\u80a1\u7968\u6570\u636e\n@st.cache_data(ttl=3600)  # \u7f13\u5b581\u5c0f\u65f6\ndef get_stock_data(stock_code, start_date, end_date):\n    \"\"\"\n    \u4f7f\u7528akshare\u83b7\u53d6\u80a1\u7968\u5386\u53f2\u6570\u636e\n    \"\"\"\n    try:\n        # \u8f6c\u6362\u65e5\u671f\u683c\u5f0f\u4e3aakshare\u8981\u6c42\u7684\u683c\u5f0f\n        start_date_ak = start_date.replace(\"-\", \"\")\n        end_date_ak = end_date.replace(\"-\", \"\")\n        \n        # \u8f6c\u6362\u80a1\u7968\u4ee3\u7801\u683c\u5f0f\u4e3aakshare\u8981\u6c42\u7684\u683c\u5f0f\n        if stock_code.startswith('SH'):\n            stock_code_ak = stock_code&#91;2:]\n        elif stock_code.startswith('SZ'):\n            stock_code_ak = stock_code&#91;2:]\n        else:\n            # \u5047\u8bbe\u5df2\u7ecf\u662f\u6b63\u786e\u683c\u5f0f\n            stock_code_ak = stock_code\n        \n        # \u4f7f\u7528akshare\u83b7\u53d6\u80a1\u7968\u6570\u636e\n        stock_df = ak.stock_zh_a_hist(symbol=stock_code_ak, period=\"daily\", \n                                     start_date=start_date_ak, end_date=end_date_ak, adjust=\"qfq\")\n        \n        stock_df&#91;'\u65e5\u671f'] = pd.to_datetime(stock_df&#91;'\u65e5\u671f'])\n        stock_df.set_index('\u65e5\u671f', inplace=True)\n        \n        # \u91cd\u547d\u540d\u5217\u540d\u4ee5\u4fbf\u4e8e\u4f7f\u7528\n        stock_df.rename(columns={\n            '\u5f00\u76d8': 'open',\n            '\u6536\u76d8': 'close',\n            '\u6700\u9ad8': 'high',\n            '\u6700\u4f4e': 'low',\n            '\u6210\u4ea4\u91cf': 'volume',\n            '\u6210\u4ea4\u989d': 'amount',\n            '\u6da8\u8dcc\u5e45': 'pct_change'\n        }, inplace=True)\n        \n        return stock_df\n    except Exception as e:\n        st.error(f\"\u83b7\u53d6\u6570\u636e\u5931\u8d25: {e}\")\n        return None\n\n# \u8ba1\u7b97\u6280\u672f\u6307\u6807\ndef calculate_technical_indicators(df):\n    \"\"\"\n    \u8ba1\u7b97\u5e38\u7528\u6280\u672f\u6307\u6807\n    \"\"\"\n    # \u8ba1\u7b97\u5747\u7ebf\n    for period in ma_periods:\n        df&#91;f'MA{period}'] = df&#91;'close'].rolling(window=period).mean()\n    \n    # \u8ba1\u7b97RSI\u6307\u6807\n    if show_rsi:\n        delta = df&#91;'close'].diff(1)\n        gain = delta.where(delta > 0, 0)\n        loss = -delta.where(delta &lt; 0, 0)\n        \n        avg_gain = gain.rolling(window=rsi_period).mean()\n        avg_loss = loss.rolling(window=rsi_period).mean()\n        \n        rs = avg_gain \/ avg_loss\n        df&#91;'RSI'] = 100 - (100 \/ (1 + rs))\n    \n    # \u8ba1\u7b97MACD\u6307\u6807\n    if show_macd:\n        # \u8ba1\u7b9712\u65e5\u548c26\u65e5\u6307\u6570\u79fb\u52a8\u5e73\u5747\u7ebf\n        df&#91;'EMA12'] = df&#91;'close'].ewm(span=12, adjust=False).mean()\n        df&#91;'EMA26'] = df&#91;'close'].ewm(span=26, adjust=False).mean()\n        \n        # \u8ba1\u7b97DIF\u548cDEA\n        df&#91;'DIF'] = df&#91;'EMA12'] - df&#91;'EMA26']\n        df&#91;'DEA'] = df&#91;'DIF'].ewm(span=9, adjust=False).mean()\n        \n        # \u8ba1\u7b97MACD\u67f1\u72b6\u56fe\n        df&#91;'MACD'] = 2 * (df&#91;'DIF'] - df&#91;'DEA'])\n    \n    return df\n\n# \u7ed8\u5236K\u7ebf\u56fe\u548c\u6280\u672f\u6307\u6807\ndef plot_stock_chart(df, stock_code):\n    \"\"\"\n    \u4f7f\u7528plotly\u7ed8\u5236\u80a1\u7968K\u7ebf\u56fe\u548c\u6280\u672f\u6307\u6807\n    \"\"\"\n    # \u786e\u5b9a\u9700\u8981\u591a\u5c11\u4e2a\u5b50\u56fe\n    rows = 1\n    if show_rsi:\n        rows += 1\n    if show_macd:\n        rows += 1\n    if show_volume:\n        rows += 1\n    \n    # \u521b\u5efa\u5b50\u56fe\n    fig = make_subplots(\n        rows=rows, cols=1,\n        shared_xaxes=True,\n        vertical_spacing=0.1,\n        subplot_titles=(\n            f\"{stock_code} K\u7ebf\u56fe\",\n            \"RSI\u6307\u6807\" if show_rsi else None,\n            \"MACD\u6307\u6807\" if show_macd else None,\n            \"\u6210\u4ea4\u91cf\" if show_volume else None\n        )\n    )\n    \n    # 1. \u6dfb\u52a0K\u7ebf\u56fe\n    fig.add_trace(\n        go.Candlestick(\n            x=df.index,\n            open=df&#91;'open'],\n            high=df&#91;'high'],\n            low=df&#91;'low'],\n            close=df&#91;'close'],\n            name=\"K\u7ebf\"\n        ),\n        row=1, col=1\n    )\n    \n    # \u6dfb\u52a0\u5747\u7ebf\n    if show_ma:\n        colors = &#91;'blue', 'green', 'orange', 'red', 'purple', 'brown']\n        for i, period in enumerate(ma_periods):\n            color = colors&#91;i % len(colors)]\n            fig.add_trace(\n                go.Scatter(\n                    x=df.index,\n                    y=df&#91;f'MA{period}'],\n                    name=f\"MA{period}\",\n                    line=dict(color=color, width=1)\n                ),\n                row=1, col=1\n            )\n    \n    # 2. \u6dfb\u52a0RSI\n    current_row = 2\n    if show_rsi:\n        fig.add_trace(\n            go.Scatter(\n                x=df.index,\n                y=df&#91;'RSI'],\n                name=\"RSI\",\n                line=dict(color='brown', width=1.5)\n            ),\n            row=current_row, col=1\n        )\n        # \u6dfb\u52a0\u8d85\u4e70\u8d85\u5356\u7ebf\n        fig.add_hline(y=70, line_dash=\"dash\", line_color=\"red\", opacity=0.7, row=current_row, col=1)\n        fig.add_hline(y=30, line_dash=\"dash\", line_color=\"green\", opacity=0.7, row=current_row, col=1)\n        current_row += 1\n    \n    # 3. \u6dfb\u52a0MACD\n    if show_macd:\n        fig.add_trace(\n            go.Scatter(\n                x=df.index,\n                y=df&#91;'DIF'],\n                name=\"DIF\",\n                line=dict(color='blue', width=1)\n            ),\n            row=current_row, col=1\n        )\n        fig.add_trace(\n            go.Scatter(\n                x=df.index,\n                y=df&#91;'DEA'],\n                name=\"DEA\",\n                line=dict(color='red', width=1)\n            ),\n            row=current_row, col=1\n        )\n        fig.add_trace(\n            go.Bar(\n                x=df.index,\n                y=df&#91;'MACD'],\n                name=\"MACD\",\n                marker_color=df&#91;'MACD'].apply(lambda x: 'red' if x > 0 else 'green')\n            ),\n            row=current_row, col=1\n        )\n        current_row += 1\n    \n    # 4. \u6dfb\u52a0\u6210\u4ea4\u91cf\n    if show_volume:\n        # \u6839\u636e\u6da8\u8dcc\u8bbe\u7f6e\u6210\u4ea4\u91cf\u989c\u8272\n        colors = df&#91;'close'].diff().apply(lambda x: 'green' if x >= 0 else 'red')\n        fig.add_trace(\n            go.Bar(\n                x=df.index,\n                y=df&#91;'volume'],\n                name=\"\u6210\u4ea4\u91cf\",\n                marker_color=colors\n            ),\n            row=current_row, col=1\n        )\n    \n    # \u66f4\u65b0\u5e03\u5c40\n    fig.update_layout(\n        height=600 + (150 * (rows - 1)),\n        width=1200,\n        title_x=0.5,\n        xaxis_rangeslider_visible=False,\n        hovermode='x unified',\n        showlegend=True,\n        legend=dict(orientation=\"h\", yanchor=\"bottom\", y=1.02, xanchor=\"right\", x=1)\n    )\n    \n    # \u66f4\u65b0X\u8f74\n    fig.update_xaxes(\n        type='category',\n        tickformat='%Y-%m-%d',\n        tickangle=45,\n        showspikes=True,\n        spikemode='across'\n    )\n    \n    return fig\n\n# \u663e\u793a\u6570\u636e\u8868\u683c\ndef show_data_table(df):\n    \"\"\"\n    \u663e\u793a\u80a1\u7968\u6570\u636e\u8868\u683c\n    \"\"\"\n    st.subheader(\"\u80a1\u7968\u6570\u636e\")\n    \n    # \u9009\u62e9\u8981\u663e\u793a\u7684\u5217\n    columns_to_show = &#91;'open', 'close', 'high', 'low', 'volume', 'pct_change']\n    \n    # \u6dfb\u52a0\u9009\u4e2d\u7684\u5747\u7ebf\u5217\n    if show_ma:\n        for period in ma_periods:\n            columns_to_show.append(f'MA{period}')\n    \n    # \u6dfb\u52a0RSI\u5217\n    if show_rsi:\n        columns_to_show.append('RSI')\n    \n    # \u6dfb\u52a0MACD\u76f8\u5173\u5217\n    if show_macd:\n        columns_to_show.extend(&#91;'DIF', 'DEA', 'MACD'])\n    \n    # \u663e\u793a\u6570\u636e\n    st.dataframe(\n        df&#91;columns_to_show].tail(50),\n        height=400,\n        width='stretch'  # \u4fee\u590d\uff1a\u5220\u9664\u91cd\u590d\u7684width\u53c2\u6570\uff0c\u4fdd\u7559width='stretch'\n    )\n\n# \u8ba1\u7b97\u5e76\u663e\u793a\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f\ndef show_statistics(df):\n    \"\"\"\n    \u663e\u793a\u80a1\u7968\u6570\u636e\u7684\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f\n    \"\"\"\n    st.subheader(\"\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f\")\n    \n    col1, col2, col3, col4 = st.columns(4)\n    \n    # \u8ba1\u7b97\u7edf\u8ba1\u6570\u636e\n    with col1:\n        st.metric(\"\u6700\u65b0\u4ef7\u683c\", f\"\u00a5{df&#91;'close'].iloc&#91;-1]:.2f}\")\n        st.metric(\"\u6700\u9ad8\u4ef7\", f\"\u00a5{df&#91;'high'].max():.2f}\")\n    \n    with col2:\n        st.metric(\"\u5f00\u76d8\u4ef7\", f\"\u00a5{df&#91;'open'].iloc&#91;-1]:.2f}\")\n        st.metric(\"\u6700\u4f4e\u4ef7\", f\"\u00a5{df&#91;'low'].min():.2f}\")\n    \n    with col3:\n        st.metric(\"\u6210\u4ea4\u91cf\", f\"{df&#91;'volume'].iloc&#91;-1]:,.0f}\")\n        st.metric(\"\u5e73\u5747\u6210\u4ea4\u91cf\", f\"{df&#91;'volume'].mean():,.0f}\")\n    \n    with col4:\n        # \u8ba1\u7b97\u6da8\u8dcc\u5e45\n        change = df&#91;'close'].iloc&#91;-1] - df&#91;'close'].iloc&#91;-2]\n        pct_change = df&#91;'pct_change'].iloc&#91;-1] if not pd.isna(df&#91;'pct_change'].iloc&#91;-1]) else (change \/ df&#91;'close'].iloc&#91;-2] * 100)\n        st.metric(\"\u6da8\u8dcc\u989d\", f\"\u00a5{change:.2f}\", f\"{pct_change:.2f}%\")\n        \n        # \u8ba1\u7b97\u603b\u6536\u76ca\u7387\n        total_return = (df&#91;'close'].iloc&#91;-1] \/ df&#91;'close'].iloc&#91;0] - 1) * 100\n        st.metric(\"\u533a\u95f4\u6536\u76ca\u7387\", f\"{total_return:.2f}%\")\n\n# \u4e3b\u7a0b\u5e8f\nif __name__ == \"__main__\":\n    # \u83b7\u53d6\u6570\u636e\n    st.info(f\"\u6b63\u5728\u83b7\u53d6 {stock_code} \u4ece {start_date_str} \u5230 {end_date_str} \u7684\u6570\u636e...\")\n    stock_data = get_stock_data(stock_code, start_date_str, end_date_str)\n    \n    if stock_data is not None and not stock_data.empty:\n        st.success(f\"\u6210\u529f\u83b7\u53d6 {len(stock_data)} \u6761\u6570\u636e\")\n        \n        # \u8ba1\u7b97\u6280\u672f\u6307\u6807\n        stock_data_with_indicators = calculate_technical_indicators(stock_data.copy())\n        \n        # \u663e\u793a\u7edf\u8ba1\u4fe1\u606f\n        show_statistics(stock_data_with_indicators)\n        \n        # \u7ed8\u5236\u56fe\u8868\n        fig = plot_stock_chart(stock_data_with_indicators, stock_code)\n        st.plotly_chart(fig, width='stretch')  # \u4fee\u590d\uff1a\u5c06use_container_width=True\u66ff\u6362\u4e3awidth='stretch'\n        \n        # \u663e\u793a\u6570\u636e\u8868\u683c\n        show_data_table(stock_data_with_indicators)\n        \n        # \u4e0b\u8f7d\u6570\u636e\n        csv = stock_data_with_indicators.to_csv().encode('utf-8')\n        st.download_button(\n            label=\"\u4e0b\u8f7d\u6570\u636e (CSV)\",\n            data=csv,\n            file_name=f\"{stock_code}_{start_date_str}_{end_date_str}.csv\",\n            mime=\"text\/csv\",\n            help=\"\u70b9\u51fb\u4e0b\u8f7d\u5f53\u524d\u80a1\u7968\u6570\u636e\u7684CSV\u6587\u4ef6\"\n        )\n    else:\n        st.error(\"\u83b7\u53d6\u6570\u636e\u5931\u8d25\uff0c\u8bf7\u68c0\u67e5\u80a1\u7968\u4ee3\u7801\u548c\u7f51\u7edc\u8fde\u63a5\")<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"497\" src=\"http:\/\/192.168.1.29\/wp-content\/uploads\/2026\/01\/image-1-1024x497.png\" alt=\"\" class=\"wp-image-6858\" srcset=\"http:\/\/xc.ipyingshe.net:5347\/wp-content\/uploads\/2026\/01\/image-1-1024x497.png 1024w, http:\/\/xc.ipyingshe.net:5347\/wp-content\/uploads\/2026\/01\/image-1-300x146.png 300w, http:\/\/xc.ipyingshe.net:5347\/wp-content\/uploads\/2026\/01\/image-1-768x373.png 768w, http:\/\/xc.ipyingshe.net:5347\/wp-content\/uploads\/2026\/01\/image-1-1536x746.png 1536w, http:\/\/xc.ipyingshe.net:5347\/wp-content\/uploads\/2026\/01\/image-1-2048x995.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>\u4f7f\u7528\u8bf4\u660e\uff1a \u8be5\u5e94\u7528\u7a0b\u5e8f\u63d0\u4f9b\u4e86\u4e00\u4e2a\u529f\u80fd\u5b8c\u6574\u7684\u80a1\u7968\u6570\u636e\u53ef\u89c6\u5316\u770b\u677f\uff0c\u7528\u6237\u53ef\u4ee5\u65b9\u4fbf\u5730\u67e5\u770b <span class=\"readmore\"><a href=\"http:\/\/xc.ipyingshe.net:5347\/?p=6852\">Continue Reading<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,24],"tags":[],"class_list":["post-6852","post","type-post","status-publish","format-standard","hentry","category-2","category-24"],"_links":{"self":[{"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts\/6852","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6852"}],"version-history":[{"count":3,"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts\/6852\/revisions"}],"predecessor-version":[{"id":6859,"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts\/6852\/revisions\/6859"}],"wp:attachment":[{"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6852"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6852"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/xc.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6852"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}