'pyodbc.Cursor '对象没有属性'index'

Question

每当我试图使用Pyqt5应用程序中的pandasModel类在qtableView中显示sql表FROM INFORMATION_SCHEMA.TABLES名称列表时，我都会得到这个错误'pyodbc.Cursor ' object has no attribute 'index'。我正在使用mssql服务器2019。我尝试了命令sql_conn.execute和pd.read_sql_query。如何处理熊猫模型？提前感谢！

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, index, 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_())

Answer 1

这对我来说现在有效：

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)