add: plots

plot_sites.py

@@ -0,0 +1,57 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+# 读取数据
+df = pd.read_excel('MFP Regular Sites 2019.xlsx')
+
+# 计算中心纬度，用于校正经纬度比例
+lat_center = df['latitude'].mean()
+# 经度在该纬度下的校正系数
+aspect_ratio = 1 / np.cos(np.radians(lat_center))
+
+# 创建图形
+fig, ax = plt.subplots(figsize=(14, 10))
+
+# 绘制散点图
+scatter = ax.scatter(df['longitude'], df['latitude'],
+                     c=df['Number of Visits in 2019'],
+                     cmap='viridis',
+                     s=100,
+                     alpha=0.7,
+                     edgecolors='black',
+                     linewidth=0.5)
+
+# 设置等比例坐标轴（考虑纬度校正）
+ax.set_aspect(aspect_ratio)
+
+# 添加颜色条
+cbar = plt.colorbar(scatter, ax=ax)
+cbar.set_label('Number of Visits in 2019', fontsize=10)
+
+# 添加站点标签
+for idx, row in df.iterrows():
+    ax.annotate(row['Site Name'].replace('MFP ', ''),
+                (row['longitude'], row['latitude']),
+                fontsize=6,
+                alpha=0.7,
+                xytext=(3, 3),
+                textcoords='offset points')
+
+# 设置标签和标题
+ax.set_xlabel('Longitude', fontsize=12)
+ax.set_ylabel('Latitude', fontsize=12)
+ax.set_title('MFP Regular Sites 2019 - Geographic Distribution', fontsize=14)
+
+# 添加网格
+ax.grid(True, alpha=0.3)
+
+# 调整布局
+plt.tight_layout()
+
+# 保存图片
+plt.savefig('sites_map.png', dpi=150, bbox_inches='tight')
+print('图片已保存为 sites_map.png')
+
+# 显示图形
+plt.show()