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发表于 2024-3-30 07:54:17
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当然可以,PySide6提供了丰富的功能和易用的API来实现你提出的需求。下面是一个简单的示例代码,演示了如何使用PySide6完成你所描述的功能:
- import sys
- from PySide6.QtWidgets import QApplication, QMainWindow, QPushButton, QVBoxLayout, QWidget, QFileDialog
- import pandas as pd
- import requests
- class ExcelComparator(QMainWindow):
- def __init__(self):
- super().__init__()
- self.setWindowTitle("Excel Comparator")
- self.main_widget = QWidget()
- self.setCentralWidget(self.main_widget)
- layout = QVBoxLayout(self.main_widget)
- # Button to start comparison
- self.compare_button = QPushButton("开始比较")
- self.compare_button.clicked.connect(self.compare_and_save)
- layout.addWidget(self.compare_button)
- def crawl_data(self, url):
- # Function to crawl data from a webpage and save it to Excel
- response = requests.get(url)
- # Here you should parse the response content and extract the data
- # For demonstration, let's assume we have the data in a list of tuples
- data = [("Name", "Age"), ("John", 25), ("Alice", 30)]
- # Convert data to DataFrame
- df = pd.DataFrame(data, columns=["Name", "Age"])
- # Save DataFrame to Excel
- df.to_excel("web_data.xlsx", index=False)
- def read_sql_data(self):
- # Function to read data from SQL and save it to Excel
- # Here you should write code to connect to your SQL database and retrieve data
- # For demonstration, let's assume we have the data in a list of tuples
- data = [("Name", "Age"), ("John", 25), ("Bob", 28)]
- # Convert data to DataFrame
- df = pd.DataFrame(data, columns=["Name", "Age"])
- # Save DataFrame to Excel
- df.to_excel("sql_data.xlsx", index=False)
- def compare_and_save(self):
- # Function to compare data from Excel sheets and save the differences
- # Read data from Excel sheets
- web_df = pd.read_excel("web_data.xlsx")
- sql_df = pd.read_excel("sql_data.xlsx")
- # Find rows in sql_df that are not present in web_df
- diff_df = sql_df.merge(web_df, on=list(sql_df.columns), how='outer', indicator=True).loc[lambda x: x['_merge'] == 'right_only']
- # Save the difference to a new Excel sheet
- diff_df.to_excel("comparison_result.xlsx", index=False)
- if __name__ == "__main__":
- app = QApplication(sys.argv)
- window = ExcelComparator()
- window.show()
- sys.exit(app.exec())
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在这个示例中,我们创建了一个名为`ExcelComparator`的主窗口,其中有一个按钮用于开始比较。点击按钮后,程序将调用相应的方法从网页和SQL数据库中获取数据并保存到Excel文件中,然后比较这两个Excel文件的数据,找出不相符的数据并保存到另一个Excel文件中。
请确保安装了`pandas`和`requests`库,可以使用以下命令安装:
- pip install pandas requests
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这只是一个简单的示例,实际应用中可能需要根据具体情况进行更多的定制和优化。
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