基于Python+PyQt5+Pandas编写的带图形界面的Excel合并工具

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文章目录
  • 在日常办公或数据处理中,经常会遇到多个 Excel 文件需要合并的场景。手工复制不仅效率低,而且容易出错。 本文将手把手教你使用 Python + PyQt5 + Pandas 编写一个带图形界面的 Excel 合并工具,支持: 选择文件夹 自动读取多个 .xlsx 文件 不同列自动对齐合并 一键生成合并后的 Excel 文件 自带程序图标(Base64 内嵌)
  • 功能说明: 选择包含多个 .xlsx 文件的文件夹 自动显示文件列表 点击「合并 Excel 文件」 在当前目录生成 合并.xlsx
  • 代码内嵌 Base64 图标,首次运行会自动生成 icon.png import sys import os import pandas as pd import base64 from PyQt5.QtWidgets import ( QApplication, QWidget, QMessageBox, QPushButton, QFileDialog, QVBoxLayout, QLabel, QTableWidget, QTableWidgetItem ) from PyQt5.QtGui import QIcon, QPixmap
  • 目录
    • 引言
    • 一、效果预览
    • 二、环境准备
      • 1、Python 版本
      • 2、安装依赖
    • 三、功能设计说明
      • 1、合并逻辑说明
      • 2、GUI 组件说明
    • 四、完整源码(可直接运行)
      • Base64 图标处理
      • 主窗口类
      • 初始化 UI
      • 选择文件夹 & 显示文件列表
      • Excel 合并核心逻辑
      • 程序入口
      • 完整代码

    在日常办公或数据处理中,经常会遇到多个 Excel 文件需要合并的场景。手工复制不仅效率低,而且容易出错。

    本文将手把手教你使用 Python + PyQt5 + Pandas 编写一个带图形界面的 Excel 合并工具,支持:

    • 选择文件夹
    • 自动读取多个 .xlsx 文件
    • 不同列自动对齐合并
    • 一键生成合并后的 Excel 文件
    • 自带程序图标(Base64 内嵌)

    功能说明:

    • 选择包含多个 .xlsx 文件的文件夹
    • 自动显示文件列表
    • 点击「合并 Excel 文件」
    • 在当前目录生成 合并.xlsx

    推荐:

    Python 3.8+
    

    pip install pyqt5 pandas openpyxl
    

    说明:

    库名 用途
    PyQt5 GUI 图形界面
    pandas Excel 数据处理
    openpyxl 读取 / 写入 xlsx

    • 逐个读取 Excel 文件
    • 自动收集 所有出现过的列
    • 不同文件中缺失的列自动补 NaN
    • 最终按列名对齐合并

    示意:

    文件
    A.xlsx 姓名、年龄
    B.xlsx 姓名、性别
    合并结果 姓名、年龄、性别

    组件 功能
    QLabel 提示文本
    QPushButton 选择文件夹 / 合并
    QFileDialog 目录选择
    QTableWidget 文件列表
    QMessageBox 完成 / 错误提示

    代码内嵌 Base64 图标,首次运行会自动生成 icon.png

    import sys
    import os
    import pandas as pd
    import base64
    from PyQt5.QtWidgets import (
        QApplication, QWidget, QMessageBox, QPushButton,
        QFileDialog, QVBoxLayout, QLabel, QTableWidget, QTableWidgetItem
    )
    from PyQt5.QtGui import QIcon, QPixmap
    

    base64_icon = "data:image/png;base64,......(略)"
    icon_data = base64_icon.split(',')[1]
    icon_bytes = base64.b64decode(icon_data)
    

    class ExcelMergerApp(QWidget):
        def __init__(self):
            super().__init__()
            self.initUI()
    

    def initUI(self):
        self.setWindowTitle('xlsx多个文件合并')
        self.setGeometry(100, 100, 800, 500)
    
        if os.path.exists('icon.png'):
            self.setWindowIcon(QIcon('icon.png'))
        else:
            pixmap = QPixmap()
            pixmap.loadFromData(icon_bytes)
            self.setWindowIcon(QIcon(pixmap))
            pixmap.save('icon.png', 'PNG')
    
        self.info_label = QLabel('选择包含要合并的Excel文件的文件夹:')
        self.select_folder_button = QPushButton('选择文件夹')
        self.merge_button = QPushButton('合并Excel文件')
        self.folder_label = QLabel('')
    
        self.file_table = QTableWidget()
        self.file_table.setColumnCount(1)
        self.file_table.setHorizontalHeaderLabels(['文件列表'])
    
        layout = QVBoxLayout()
        layout.addWidget(self.info_label)
        layout.addWidget(self.select_folder_button)
        layout.addWidget(self.folder_label)
        layout.addWidget(self.file_table)
        layout.addWidget(self.merge_button)
    
        self.setLayout(layout)
    
        self.select_folder_button.clicked.connect(self.get_folder)
        self.merge_button.clicked.connect(self.merge_excel_files)
    

    def get_folder(self):
        folder = QFileDialog.getExistingDirectory(self, "选择包含Excel文件的文件夹")
        if folder:
            self.folder_path = folder
            self.folder_label.setText(f'选择的文件夹: {folder}')
            self.populate_file_table()
    
    def populate_file_table(self):
        files = [f for f in os.listdir(self.folder_path) if f.endswith('.xlsx')]
        files.sort()
        self.file_table.setRowCount(len(files))
        for i, f in enumerate(files):
            self.file_table.setItem(i, 0, QTableWidgetItem(f))
    

    def merge_excel_files(self):
        if not hasattr(self, 'folder_path'):
            QMessageBox.critical(self, '错误', '请先选择文件夹')
            return
    
        merged_df = pd.DataFrame()
    
        for row in range(self.file_table.rowCount()):
            file_name = self.file_table.item(row, 0).text()
            file_path = os.path.join(self.folder_path, file_name)
            df = pd.read_excel(file_path)
    
            for col in df.columns:
                if col not in merged_df.columns:
                    merged_df[col] = None
    
            merged_df = pd.concat([merged_df, df], ignore_index=True)
    
        output_path = os.path.join(self.folder_path, '合并.xlsx')
        merged_df.to_excel(output_path, index=False)
    
        QMessageBox.information(self, '完成', f'合并完成,文件保存到:n{output_path}')
    

    if __name__ == '__main__':
        app = QApplication(sys.argv)
        window = ExcelMergerApp()
        window.show()
        sys.exit(app.exec_())
    

    import sys
    import os
    import pandas as pd
    from PyQt5.QtWidgets import QApplication, QWidget,QMessageBox, QPushButton, QFileDialog, QVBoxLayout, QLabel, QTableWidget, QTableWidgetItem
    from PyQt5.QtCore import Qt,QByteArray
    from PyQt5.QtGui import QIcon, QPixmap
    import base64
    base64_icon = "data:image/png;base64,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"
    icon_data = base64_icon.split(',')[1]
    icon_bytes = base64.b64decode(icon_data)
    class ExcelMergerApp(QWidget):
        def __init__(self):
            super().__init__()
            self.initUI()
    
        def initUI(self):
            self.setWindowTitle('xlsx多个文件合并')
            self.setGeometry(100, 100, 800, 500)
            if os.path.exists('icon.png'):
                icon = QIcon('icon.png')
                self.setWindowIcon(icon)
            else:
                 # 将字节数据转换为 QPixmap
                pixmap = QPixmap()
                pixmap.loadFromData(icon_bytes)
    
                # 创建 QIcon 并将其设置为窗口图标
                icon = QIcon(pixmap)
                self.setWindowIcon(icon)
                pixmap.save('icon.png', 'PNG')
            
    
            self.info_label = QLabel('选择包含要合并的Excel文件的文件夹:')
            self.select_folder_button = QPushButton('选择文件夹')
            self.merge_button = QPushButton('合并Excel文件')
    
            self.folder_label = QLabel('')
            
            self.file_table = QTableWidget()
            self.file_table.setColumnCount(1)
            self.file_table.setHorizontalHeaderLabels(['文件列表'])
    
            layout = QVBoxLayout()
            layout.addWidget(self.info_label)
            layout.addWidget(self.select_folder_button)
            layout.addWidget(self.folder_label)
            layout.addWidget(self.file_table)
            layout.addWidget(self.merge_button)
            layout.addStretch()  
            self.setLayout(layout)
    
            self.select_folder_button.clicked.connect(self.get_folder)
            self.merge_button.clicked.connect(self.merge_excel_files)
    
        def get_folder(self):
            folder = QFileDialog.getExistingDirectory(self, "选择包含Excel文件的文件夹")
            if folder:
                self.folder_path = folder
                self.folder_label.setText(f'选择的文件夹: {folder}')
                self.populate_file_table()
    
        def populate_file_table(self):
            file_names = [file for file in os.listdir(self.folder_path) if file.endswith(".xlsx")]
            file_names.sort()  # Sort the file names
            self.file_table.setRowCount(len(file_names))
            for i, file_name in enumerate(file_names):
                item = QTableWidgetItem(file_name)
                self.file_table.setItem(i, 0, item)
    
        def merge_excel_files(self):
            if hasattr(self, 'folder_path'):
                # 添加您在上面的代码中执行的Excel文件合并操作
                unique_columns = pd.DataFrame()
                for row in range(self.file_table.rowCount()):
                    file_name = self.file_table.item(row, 0).text()
                    file_path = os.path.join(self.folder_path, file_name)
                    df = pd.read_excel(file_path)
                    file_columns = df.columns
                    for column in file_columns:
                        if column not in unique_columns.columns:
                            unique_columns[column] = None
                    unique_columns = pd.concat([unique_columns, df[file_columns]], ignore_index=True)
    
                # 保存合并后的数据到output.xlsx文件,包括列名
                output_file = "合并.xlsx"
                output_file_path = os.path.join(self.folder_path, output_file)
                unique_columns.to_excel(output_file_path, index=False)
                msg = QMessageBox()
                icon = QIcon("icon.png")
                msg.setWindowIcon(icon)
                msg.setIcon(QMessageBox.Information)
                msg.setText(f'合并完成,结果保存到 {output_file_path}')
                msg.setWindowTitle('合并完成')
                msg.exec_()
            else:
                msg = QMessageBox()
                icon = QIcon("icon.png")
                msg.setWindowIcon(icon)
                msg.setIcon(QMessageBox.Critical)
                msg.setText('请选择文件夹以合并Excel文件')
                msg.setWindowTitle('错误')
                msg.exec()
    
    if __name__ == '__main__':
        app = QApplication(sys.argv)
        ex = ExcelMergerApp()
        ex.show()
        sys.exit(app.exec_())
    
    

    到此这篇关于基于Python+PyQt5+Pandas编写的带图形界面的Excel合并工具的文章就介绍到这了,更多相关Python PyQt5 Excel合并工具内容请搜索风君子博客以前的文章或继续浏览下面的相关文章希望大家以后多多支持风君子博客!

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