init object

.idea/.gitignore

@@ -0,0 +1,3 @@
+# 默认忽略的文件
+/shelf/
+/workspace.xml

.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.9" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/pythonProject1.iml" filepath="$PROJECT_DIR$/.idea/pythonProject1.iml" />
+    </modules>
+  </component>
+</project>

.idea/pythonProject1.iml

@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.venv" />
+    </content>
+    <orderEntry type="jdk" jdkName="Python 3.7" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

east/.idea/.gitignore

@@ -0,0 +1,3 @@
+# 默认忽略的文件
+/shelf/
+/workspace.xml

east/.idea/east.iml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

east/.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

east/.idea/misc.xml

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (pythonProject2)" project-jdk-type="Python SDK" />
+</project>

east/.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/east.iml" filepath="$PROJECT_DIR$/.idea/east.iml" />
+    </modules>
+  </component>
+</project>

east/bar-2.py

@@ -0,0 +1,168 @@
+import requests
+import pandas as pd
+import json
+from datetime import datetime
+import matplotlib.pyplot as plt
+import matplotlib
+import numpy as np
+import tkinter as tk
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+from matplotlib.figure import Figure
+
+matplotlib.rcParams['font.sans-serif'] = ['SimHei']  # 设置中文字体为黑体
+matplotlib.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题
+
+def get_fund_flow_data():
+    """获取资金流向数据，包括板块和股票名称"""
+    url = "https://push2delay.eastmoney.com/api/qt/clist/get"
+
+    params = {
+        'fid': 'f184',
+        'po': '1',
+        'pz': '50',
+        'pn': '1',
+        'np': '1',
+        'fltt': '2',
+        'invt': '2',
+        'fields': 'f2,f3,f12,f13,f14,f62,f184,f225,f165,f263,f109,f175,f264,f160,f100,f124,f265,f1',
+        'ut': 'b2884a393a59ad64002292a3e90d46a5',
+        'fs': 'm:0+t:6+f:!2,m:0+t:13+f:!2,m:0+t:80+f:!2,m:1+t:2+f:!2,m:1+t:23+f:!2,m:0+t:7+f:!2,m:1+t:3+f:!2',
+    }
+
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
+        'Referer': 'https://data.eastmoney.com/zjlx/list.html'
+    }
+
+    try:
+        response = requests.get(url, params=params, headers=headers)
+        print(response.text)
+        data = json.loads(response.text)
+
+        if 'data' not in data or 'diff' not in data['data']:
+            raise Exception("未能获取到数据")
+
+        items = data['data']['diff']
+
+        parsed_data = []
+        for idx, item in enumerate(items[:50]):
+            # 获取每个板块的股票名称
+            stock_names = item.get('f14', '')
+
+            # 打印调试信息，检查 f62 字段的内容
+            print(f"板块 {item['f14']} - f62 字段内容: {stock_names}")
+
+            if isinstance(stock_names, str):
+                stock_names = stock_names.split(';')  # 假设股票名称以分号分隔
+            else:
+                stock_names = []  # 如果 f62 为空或格式不正确，设置为空列表
+
+            # 如果股票名称为空，则跳过该项
+            if not stock_names:
+                print(f"板块 {item['f14']} 没有有效的股票名称")
+                continue
+
+            # 计算三者的平均排名
+            avg_rank = np.mean([item['f225'], item['f263'], item['f264']])
+
+            parsed_data.append({
+                '股票名称': stock_names[0],  # 只取第一个股票名称
+                '今日排名': item['f225'],
+                '5日排名': item['f263'],
+                '10日排名': item['f264'],
+                '平均排名': avg_rank
+            })
+
+        return pd.DataFrame(parsed_data)
+
+    except Exception as e:
+        print(f"获取数据时发生错误: {str(e)}")
+        return None
+
+
+def create_ranking_visualization(data):
+    """创建排名可视化窗口"""
+    root = tk.Tk()
+    root.title("股票资金流向排名对比")
+    root.geometry("1500x900")
+    root.configure(bg='#2C3E50')  # 深色背景
+
+    fig = Figure(figsize=(15, 10))
+    ax = fig.add_subplot(111)
+
+    # 设置样式
+    ax.set_facecolor('#FFFFFF')  # 设置背景色
+    fig.patch.set_facecolor('#FFFFFF')  # 设置背景色
+
+    # 准备数据
+    stock_names = data['股票名称'].tolist()[:30]  # 只显示前15个股票，避免过于拥挤
+    avg_ranks = data['平均排名'].tolist()[:30]
+
+    # 设置柱状图位置
+    x = np.arange(len(stock_names))
+    width = 0.5  # 设置柱状图宽度
+
+    # 绘制柱状图
+    rects1 = ax.bar(x, avg_ranks, width, label='平均排名', color='#2980B9', alpha=0.9, edgecolor='black')
+
+    # 设置标题和标签
+    ax.set_title('股票资金流向排名对比（排名越高表示资金流入越多）', fontsize=18, pad=20, color='black')
+    ax.set_xlabel('股票名称', fontsize=14, color='black')
+    ax.set_ylabel('平均排名', fontsize=14, color='black')
+
+    # 设置x轴刻度
+    ax.set_xticks(x)
+    ax.set_xticklabels(stock_names, rotation=45, ha='right', fontsize=12, color='black')
+
+    # 设置y轴范围和刻度
+    ax.set_ylim(0, 55)
+    ax.set_yticks(np.arange(0, 51, 10))
+
+    # 添加图例
+    ax.legend(loc='upper right', fontsize=12)
+
+    # 设置网格
+    ax.grid(True, linestyle='--', alpha=0.3, axis='y')
+
+    # 调整布局
+    fig.tight_layout()
+
+    # 创建canvas
+    canvas = FigureCanvasTkAgg(fig, master=root)
+    canvas.draw()
+    canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
+
+    # 生成并显示词云
+    plt.figure(figsize=(8, 6))
+    plt.axis('off')
+    plt.show()
+
+    # 添加关闭按钮
+    close_button = tk.Button(root, text="关闭", command=root.quit, font=('SimHei', 12), bg='#C82423', fg='white', padx=10, pady=5)
+    close_button.pack(side=tk.BOTTOM, pady=10)
+
+    return root
+
+
+def main():
+    # 获取资金流向数据
+    print("正在获取资金流向数据...")
+    data = get_fund_flow_data()
+
+    if data is not None:
+        # 保存数据到Excel
+        current_date = datetime.now().strftime('%Y%m%d')
+        output_file = f'fund_flow_ranking_{current_date}.xlsx'
+        data.to_excel(output_file, index=False)
+        print(f"资金流向数据已保存到: {output_file}")
+
+        # 创建并显示可视化窗口
+        print("正在创建可视化窗口...")
+        root = create_ranking_visualization(data)
+        root.mainloop()
+    else:
+        print("获取数据失败，请检查网络连接或接口可用性。")
+
+
+if __name__ == "__main__":
+    main()

east/bar.PY

@@ -0,0 +1,167 @@
+import requests
+import pandas as pd
+import json
+from datetime import datetime
+import matplotlib.pyplot as plt
+import matplotlib
+import numpy as np
+import tkinter as tk
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+from matplotlib.figure import Figure
+
+matplotlib.rcParams['font.sans-serif'] = ['SimHei']  # 设置中文字体为黑体
+matplotlib.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题
+
+def get_fund_flow_data():
+    """获取资金流向数据，包括板块和股票名称"""
+    url = "https://push2delay.eastmoney.com/api/qt/clist/get"
+
+    params = {
+        'fid': 'f184',
+        'po': '1',
+        'pz': '50',
+        'pn': '1',
+        'np': '1',
+        'fltt': '2',
+        'invt': '2',
+        'fields': 'f2,f3,f12,f13,f14,f62,f184,f225,f165,f263,f109,f175,f264,f160,f100,f124,f265,f1',
+        'ut': 'b2884a393a59ad64002292a3e90d46a5',
+        'fs': 'm:0+t:6+f:!2,m:0+t:13+f:!2,m:0+t:80+f:!2,m:1+t:2+f:!2,m:1+t:23+f:!2,m:0+t:7+f:!2,m:1+t:3+f:!2',
+    }
+
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
+        'Referer': 'https://data.eastmoney.com/zjlx/list.html'
+    }
+
+    try:
+        response = requests.get(url, params=params, headers=headers)
+        print(response.text)
+        data = json.loads(response.text)
+
+        if 'data' not in data or 'diff' not in data['data']:
+            raise Exception("未能获取到数据")
+
+        items = data['data']['diff']
+
+        parsed_data = []
+        for idx, item in enumerate(items[:50]):
+            # 获取每个板块的股票名称
+            stock_names = item.get('f14', '')
+
+            # 打印调试信息，检查 f62 字段的内容
+            print(f"板块 {item['f14']} - f62 字段内容: {stock_names}")
+
+            if isinstance(stock_names, str):
+                stock_names = stock_names.split(';')  # 假设股票名称以分号分隔
+            else:
+                stock_names = []  # 如果 f62 为空或格式不正确，设置为空列表
+
+            # 如果股票名称为空，则跳过该项
+            if not stock_names:
+                print(f"板块 {item['f14']} 没有有效的股票名称")
+                continue
+
+            parsed_data.append({
+                '板块': item['f100'],
+                '今日排名': item['f225'],  # 转换为排名
+                '5日排名': item['f263'],  # 临时使用索引作为排名
+                '10日排名': item['f264'],  # 临时使用索引作为排名
+                '股票名称': stock_names[0]  # 添加股票名称
+            })
+
+        return pd.DataFrame(parsed_data)
+
+    except Exception as e:
+        print(f"获取数据时发生错误: {str(e)}")
+        return None
+
+
+def create_ranking_visualization(data):
+    """创建排名可视化窗口"""
+    root = tk.Tk()
+    root.title("板块资金流向排名对比")
+    root.geometry("1500x900")
+    root.configure(bg='#2C3E50')  # 深色背景
+
+    fig = Figure(figsize=(15, 10))
+    ax = fig.add_subplot(111)
+
+    # 设置样式
+    ax.set_facecolor('#34495E')  # 设置背景色
+    fig.patch.set_facecolor('#2C3E50')  # 设置背景色
+
+    # 准备数据
+    sectors = data['板块'].tolist()[:15]  # 只显示前15个板块，避免过于拥挤
+    today_ranks = data['今日排名'].tolist()[:15]
+    five_day_ranks = data['5日排名'].tolist()[:15]
+    ten_day_ranks = data['10日排名'].tolist()[:15]
+
+    # 设置柱状图位置
+    x = np.arange(len(sectors))
+    width = 0.25
+
+    # 绘制柱状图
+    rects1 = ax.bar(x - width, today_ranks, width, label='今日排名', color='#E74C3C', alpha=0.9, edgecolor='black')
+    rects2 = ax.bar(x, five_day_ranks, width, label='5日排名', color='#F39C12', alpha=0.9, edgecolor='black')
+    rects3 = ax.bar(x + width, ten_day_ranks, width, label='10日排名', color='#2980B9', alpha=0.9, edgecolor='black')
+
+    # 设置标题和标签
+    ax.set_title('板块资金流向排名对比（排名越高表示资金流入越多）', fontsize=18, pad=20, color='white')
+    ax.set_xlabel('板块', fontsize=14, color='white')
+    ax.set_ylabel('排名', fontsize=14, color='white')
+
+    # 设置x轴刻度
+    ax.set_xticks(x)
+    ax.set_xticklabels(sectors, rotation=45, ha='right', fontsize=12, color='white')
+
+    # 设置y轴范围和刻度
+    ax.set_ylim(0, 55)
+    ax.set_yticks(np.arange(0, 51, 10))
+
+    # 添加图例
+    ax.legend(loc='upper right', fontsize=12)
+
+    # 设置网格
+    ax.grid(True, linestyle='--', alpha=0.3, axis='y')
+
+    # 调整布局
+    fig.tight_layout()
+
+    # 创建canvas
+    canvas = FigureCanvasTkAgg(fig, master=root)
+    canvas.draw()
+    canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
+
+    # 生成并显示词云
+    plt.figure(figsize=(8, 6))
+    plt.axis('off')
+    plt.show()
+
+    # 添加关闭按钮
+    close_button = tk.Button(root, text="关闭", command=root.quit, font=('SimHei', 12), bg='#C82423', fg='white', padx=10, pady=5)
+    close_button.pack(side=tk.BOTTOM, pady=10)
+
+    return root
+
+def main():
+    # 获取资金流向数据
+    print("正在获取资金流向数据...")
+    data = get_fund_flow_data()
+
+    if data is not None:
+        # 保存数据到Excel
+        current_date = datetime.now().strftime('%Y%m%d')
+        output_file = f'fund_flow_ranking_{current_date}.xlsx'
+        data.to_excel(output_file, index=False)
+        print(f"资金流向数据已保存到: {output_file}")
+
+        # 创建并显示可视化窗口
+        print("正在创建可视化窗口...")
+        root = create_ranking_visualization(data)
+        root.mainloop()
+    else:
+        print("获取数据失败，请检查网络连接或接口可用性。")
+
+if __name__ == "__main__":
+    main()