问题描述
每当我尝试在 Pyqt5 应用程序中使用 pandasModel 类在 qtableView 中显示 sql 表 FROM informatION_SCHEMA.TABLES
名称列表时,我都会收到此错误 'pyodbc.Cursor ' object has no attribute 'index'
。
我使用的是 mssql server 2019。我尝试了命令 sql_conn.execute
和 pd.read_sql_query
。
如何用熊猫模型处理这个?提前致谢!
main.py
from PyQt5 import QtCore,QtGui,QtWidgets
import pyodbc
import pandas as pd
class PandasModel(QtCore.QAbstractTableModel):
def __init__(self,df = pd.DataFrame(),parent=None):
QtCore.QAbstractTableModel.__init__(self,parent=parent)
self._df = df
def headerData(self,section,orientation,role=QtCore.Qt.displayRole):
if role != QtCore.Qt.displayRole:
return QtCore.QVariant()
if orientation == QtCore.Qt.Horizontal:
try:
return self._df.columns.tolist()[section]
except (IndexError,):
return QtCore.QVariant()
elif orientation == QtCore.Qt.Vertical:
try:
return self._df.index.tolist()[section]
except (IndexError,):
return QtCore.QVariant()
def data(self,index,role=QtCore.Qt.displayRole):
if role != QtCore.Qt.displayRole:
return QtCore.QVariant()
if not index.isValid():
return QtCore.QVariant()
return QtCore.QVariant(str(self._df.iloc[index.row(),index.column()]))
def setData(self,value,role):
row = self._df.index[index.row()]
col = self._df.columns[index.column()]
if hasattr(value,'toPyObject'):
value = value.toPyObject()
else:
dtype = self._df[col].dtype
if dtype != object:
value = None if value == '' else dtype.type(value)
self._df.set_value(row,col,value)
return True
def rowCount(self,parent=QtCore.QModelIndex()):
return len(self._df.index)
def columnCount(self,parent=QtCore.QModelIndex()):
return len(self._df.columns)
def sort(self,column,order):
colname = self._df.columns.tolist()[column]
self.layoutAboutToBeChanged.emit()
self._df.sort_values(colname,ascending= order == QtCore.Qt.AscendingOrder,inplace=True)
self._df.reset_index(inplace=True,drop=True)
self.layoutChanged.emit()
class Widget(QtWidgets.QWidget):
def __init__(self,parent=None):
QtWidgets.QWidget.__init__(self,parent=None)
vLayout = QtWidgets.QVBoxLayout(self)
hLayout = QtWidgets.QHBoxLayout()
self.pathLE = QtWidgets.QLineEdit(self)
hLayout.addWidget(self.pathLE)
self.loadBtn = QtWidgets.QPushButton("load",self)
hLayout.addWidget(self.loadBtn)
vLayout.addLayout(hLayout)
self.tableView = QtWidgets.QTableView(self)
vLayout.addWidget(self.tableView)
self.loadBtn.clicked.connect(self.loadData)
self.tableView.setSortingEnabled(True)
def loadData(self):
dbname="AccountDatabase"
server = '-----'
database = ''
username = 'admin'
password = 'admin#'
sql_conn = pyodbc.connect('DRIVER={ODBC Driver 17 for sql Server};SERVER=' +
server+';DATABASE='+database+';UID='+username+';PWD=' + password)
query_string= "use " + dbname +" "+ "SELECT * FROM informatION_SCHEMA.TABLES WHERE TABLE_TYPE='BASE TABLE'"
df = sql_conn.execute(query_string)
# df = pd.read_sql_query(query_string,sql_conn)
# sql_conn.commint()
# records = sqlSend.fetchall()
model = PandasModel(df)
self.tableView.setModel(model)
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication(sys.argv)
w = Widget()
w.show()
sys.exit(app.exec_())
解决方法
这现在对我有用:
def loadData(self):
dbName="AccountDatabase"
server = '-----'
database = ''
username = 'admin'
password = 'admin#'
sql_conn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER=' +
server+';DATABASE='+database+';UID='+username+';PWD=' + password)
query_string="""SELECT * FROM """ +dbName+""".INFORMATION_SCHEMA.TABLES WHERE TABLE_TYPE='BASE TABLE'"""
df = pd.read_sql_query(query_string,sql_conn)
model = PandasModel(df)
self.tableView.setModel(model)