vault backup: 2024-03-16 17:41:18

Extras/Omnivore/数据处理过程.md

@@ -210,3 +210,31 @@ plt.show()
 ![image.png|600](https://image.kfdr.top/i/2024/03/16/65f5617bb2942.png)
 
 ![image.png|600](https://image.kfdr.top/i/2024/03/16/65f5625b9cac2.png)
+
+
+## 业务区域分布
+
+```python
+import pandas as pd  
+import matplotlib.pyplot as plt  
+plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']  
+  
+# Load the Excel file  
+data = pd.read_excel('E:/Projects/analyse/pythonProject/merged_data.xlsx')  
+  
+# Correcting the approach based on the updated description for the '区域' column  
+  
+# Update the DataFrame to reflect the correct column name and values for categorization  
+data['Regional Category'] = data['区域'].map({'市内': '省内', '广东省内': '省内', '国际': '省外', '港澳台': '省外', '广东省外': '省外'})  
+  
+# Calculate the distribution of the new categories  
+regional_category_distribution = data['Regional Category'].value_counts()  
+  
+# Generate a pie chart to show the updated regional distribution of the business  
+plt.figure(figsize=(8, 8))  
+plt.pie(regional_category_distribution, labels=regional_category_distribution.index, autopct='%1.1f%%', startangle=140, colors=['skyblue', 'orange'])  
+plt.title('业务区域分布')  
+plt.show()
+```
+
+![image.png|600](https://image.kfdr.top/i/2024/03/16/65f568159bb5c.png)