PyQt：如何sortingExcel文件（string和数字和datetypes）的QTableView列
这是一个后续问题： PyQt：如何sortingQTableView列（string和数字）
现在我打算对excel文件进行相同的sorting
这是我的代码：
self.Upload = QtGui.QPushButton() self.Upload.clicked.connect(self.showOpenDialog) self.Table = QtGui.QPushButton() self.table.clicked.connect(self.LoadTable) def showOpenDialog(self): fileName = QtGui.QFileDialog.getOpenFileName(self, 'Open file', '/home') if (".xls" or ".xml" or ".xlsx" or ".xlsm") in fileName: with open(fileName, 'rb') as drate: self.Datas = pd.read_excel(drate, index_col=0) self.Loaded_File.clear() self.Loaded_File.append(fileName) colll = self.Datas.dtypes.index col_names = np.array(colll) def LoadTable(self): tab_table_view = QtGui.QWidget() self.Tab.insertTab(0, tab_table_view, self.File_Name) self.tableView = QtGui.QTableView(tab_table_view) self.tableView.setGeometry(QtCore.QRect(0, 0, 721, 571)) self.model = QtGui.QStandardItemModel(self) file_name_temp = self.File_Name self.tableView.setModel(self.model) colll = self.Datas.dtypes.index col_names = np.array(colll) col_names = np.insert(col_names, 0, self.Datas.index.name) self.model.setHorizontalHeaderLabels(col_names) self.tableView.hideRow(0) self.tableView.setSortingEnabled(True) if (".xls" or ".xml" or ".xlsx" or ".xlsm") in self.File_Name: from itertools import chain ii = 1 book = xlrd.open_workbook(self.File_Name) sheet = book.sheet_by_index(0) num_col = len(self.Datas.columns) num_row = len(self.Datas) print(num_col,num_row) self.Matrix = [[0 for x in range(num_col+1)] for y in range(num_row)] for i in range(num_row): self.Matrix[i][0]=self.Datas.index.values[i] for j in range(num_col): self.Matrix[i][j+1] = self.Datas.iat[i,j] print(self.Matrix) for i in range(num_row): items = [] for j in range(num_col): field = self.Matrix[i][j] item = QtGui.QStandardItem(field) for numtype in (int, float): try: data = numtype(field) break except (ValueError, OverflowError): pass else: print('Not a number: %r' % field) data = field item.setData(data, QtCore.Qt.UserRole) items.append(item) self.model.appendRow(items) 输出将是：
Not a number: 'Government' Not a number: 'Canada' Not a number: 'Carretera' Not a number: 'None' Traceback (most recent call last): File "C:/Users/v266v885/Documents/Main_File1026.py", line 1535, in loadTable item = QtGui.QStandardItem(field) TypeError: arguments did not match any overloaded call: QStandardItem(): too many arguments QStandardItem(str): argument 1 has unexpected type 'Timestamp' QStandardItem(QIcon, str): argument 1 has unexpected type 'Timestamp' QStandardItem(int, int columns=1): argument 1 has unexpected type 'Timestamp' QStandardItem(QStandardItem): argument 1 has unexpected type 'Timestamp'
如果文件中的数据types是str（直到“None”），并且当第一个int或float到来时它会生成一些重载调用，那就好了。
请有人帮助我。
下面是一个演示脚本，它可以读取csv和excel文件，并且可以正确sortingdate，整数，浮点数和string。
import sys import pandas as pd, numpy as np from PyQt4 import QtCore, QtGui class Window(QtGui.QWidget): def __init__(self): super(Window, self).__init__() self.model = QtGui.QStandardItemModel(self) self.model.setSortRole(QtCore.Qt.UserRole) self.tableView = QtGui.QTableView() self.tableView.setSortingEnabled(True) self.tableView.setModel(self.model) self.button = QtGui.QPushButton('Open CSV', self) self.button.clicked.connect(self.handleButton) layout = QtGui.QVBoxLayout(self) layout.addWidget(self.tableView) layout.addWidget(self.button) def handleButton(self): filters = ( 'CSV files (*.csv *.txt)', 'Excel Files (*.xls *.xml *.xlsx *.xlsm)', ) path, filter = QtGui.QFileDialog.getOpenFileNameAndFilter( self, 'Open File', '', ';;'.join(filters)) if path: csv = filter.startswith('CSV') if csv: dataframe = pd.read_csv(path) else: dataframe = pd.read_excel(path) self.model.setRowCount(0) dateformat = '%m/%d/%Y' rows, columns = dataframe.shape for row in range(rows): items = [] for column in range(columns): field = dataframe.iat[row, column] if csv and isinstance(field, str): try: field = pd.to_datetime(field, format=dateformat) except ValueError: pass if isinstance(field, pd.tslib.Timestamp): text = field.strftime(dateformat) data = field.timestamp() else: text = str(field) if isinstance(field, np.number): data = field.item() else: data = text item = QtGui.QStandardItem(text) item.setData(data, QtCore.Qt.UserRole) items.append(item) self.model.appendRow(items) if __name__ == '__main__': app = QtGui.QApplication(sys.argv) window = Window() window.setGeometry(500, 150, 600, 400) window.show() sys.exit(app.exec_())
正如Ekhumoro所build议的那样，Excel数据的分类最容易的就是pandas。 我已经尝试过与openpyxl类似的操作，但是它太有限了。 pandas可以为您节省许多代码行。
一个小例子：
from PyQt4 import QtGui , QtCore import pandas as pd import numpy as np import time import sys # open excel file sales = pd.read_excel ("Sales.xlsx" , parse_dates=['Data'] ) # select columns purchase_patterns = sales [['Total','Date']] # choose date index purchase_patterns = purchase_patterns.set_index("Date") # regroup / resample by week and get subtotals by sum resample = purchase_patterns.resample ('W' , how = sum)
这里有一些不错的链接： http : //pbpython.com/excel-pandas-comp.html，http : //chrisalbon.com/python/pandas_indexing_selecting.html，http ： //chrisalbon.com/python/pandas_dropping_column_and_rows.html ， http://chris.friedline.net/2015-12-15-rutgers/lessons/python2/02-index-slice-subset.html