请用pyqt5写一段读取excel文件(该文件包含产品结构bom,有结构嵌套)的代码,使用树形结构,
时间: 2023-09-07 08:04:26 浏览: 134
对PyQt5中树结构的实现方法详解
### 回答1:
以下是一段使用 PyQt5 读取 Excel 文件并使用树形结构展示 BOM 的代码:
```
import sys
import openpyxl
from PyQt5.QtWidgets import QApplication, QTreeWidget, QTreeWidgetItem, QMainWindow
app = QApplication(sys.argv)
class Window(QMainWindow):
def __init__(self):
super().__init__()
self.tree = QTreeWidget(self)
self.setCentralWidget(self.tree)
self.read_excel()
def read_excel(self):
wb = openpyxl.load_workbook('bom.xlsx')
sheet = wb.active
parent = {}
for row in range(2, sheet.max_row + 1):
id = sheet.cell(row=row, column=1).value
name = sheet.cell(row=row, column=2).value
parent_id = sheet.cell(row=row, column=3).value
item = QTreeWidgetItem(parent.get(parent_id))
item.setText(0, name)
parent[id] = item
self.tree.addTopLevelItems(parent.values())
window = Window()
window.show()
sys.exit(app.exec_())
```
此代码读取名为 "bom.xlsx" 的 Excel 文件,并在树形视图中展示该 BOM 的结构。代码中,我们使用了 PyQt5 和 openpyxl 库,其中 openpyxl 用于读取 Excel 文件,PyQt5 用于创建窗口和树形视图。代码中的循环用于读取每一行的产品信息,并创建树形节点,最终将根节点添加到树形视图中。
### 回答2:
import sys
import pandas as pd
from PyQt5.QtWidgets import QApplication, QTreeView, QAbstractItemView, QVBoxLayout, QWidget, QFileDialog
from PyQt5.QtGui import QStandardItemModel, QStandardItem
class ExcelReader(QWidget):
def __init__(self):
super().__init__()
self.init_ui()
def init_ui(self):
self.setWindowTitle("Excel Reader")
self.resize(800, 600)
self.model = QStandardItemModel()
self.tree_view = QTreeView()
self.tree_view.setModel(self.model)
self.tree_view.setEditTriggers(QAbstractItemView.NoEditTriggers)
self.layout = QVBoxLayout()
self.layout.addWidget(self.tree_view)
self.setLayout(self.layout)
def read_excel(self):
file_dialog = QFileDialog()
file_path, _ = file_dialog.getOpenFileName(self, "Open Excel", "", "Excel Files (*.xlsx *.xls)")
if file_path:
df = pd.read_excel(file_path)
self.create_tree_structure(df)
def create_tree_structure(self, df, parent=None):
if parent is None:
parent = self.model.invisibleRootItem()
for row in range(len(df)):
item = QStandardItem(df.iloc[row][0])
parent.appendRow(item)
if isinstance(df.iloc[row][1], str): # Check if it has nested structure
nested_df = pd.read_excel(df.iloc[row][1]) # Assuming second column contains nested structure
self.create_tree_structure(nested_df, item)
if __name__ == "__main__":
app = QApplication(sys.argv)
excel_reader = ExcelReader()
excel_reader.show()
excel_reader.read_excel()
sys.exit(app.exec_())
### 回答3:
import sys
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QTreeView
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QStandardItem, QStandardItemModel
import pandas as pd
class TreeView(QWidget):
def __init__(self, parent=None):
super(TreeView, self).__init__(parent)
self.setWindowTitle("Excel Tree View")
self.resize(800, 600)
self.layout = QVBoxLayout()
self.tree_view = QTreeView()
self.layout.addWidget(self.tree_view)
self.setLayout(self.layout)
def read_excel(self, file_path):
df = pd.read_excel(file_path)
model = QStandardItemModel()
self.process_data(df, model)
self.tree_view.setModel(model)
self.tree_view.expandAll()
def process_data(self, data, parent):
if isinstance(data, pd.DataFrame):
for index, row in data.iterrows():
item = QStandardItem(row[0])
parent.appendRow(item)
self.process_data(row[1:], item)
else:
for value in data:
item = QStandardItem(str(value))
parent.appendRow(item)
if __name__ == '__main__':
app = QApplication(sys.argv)
tree_view = TreeView()
tree_view.read_excel('product_structure.xlsx') # 替换为真实的文件路径
tree_view.show()
sys.exit(app.exec_())
这段代码使用pyqt5对excel文件进行读取,并将数据显示在树形结构中。首先,创建一个TreeView类继承自QWidget,并设置窗口标题和大小。然后,在read_excel方法中,使用pandas库的read_excel函数读取excel文件的数据,再利用QStandardItemModel和QTreeView,将数据添加到树形结构中。在process_data方法中,根据excel文件的结构,递归处理数据,并添加到对应的父节点中。最后,在主程序部分,创建一个QApplication实例和TreeView实例,并调用read_excel方法读取excel文件并显示树形结构。
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