class ResultWindow(QWidget): def __init__(self): super(self.__class__, self).__init__() self.setup_ui() def setup_ui(self): self.setWindowTitle("查詢結果") self.setFont(PyQt5.QtGui.QFont("Times New Roman", 11)) self.buttonCopy = QPushButton("複製查詢結果 (Ctrl+C)") self.buttonCopy.clicked.connect(self.copy) self.labelInfo = QLabel("") self.shortcut = QShortcut(PyQt5.QtGui.QKeySequence("Ctrl+C"), self) self.shortcut.activated.connect(self.copy) self.formLayout = QFormLayout() self.formLayout.addRow(self.buttonCopy, self.labelInfo) self.widget = DataTableWidget() self.widget.setButtonsVisible(False) self.widget.setMinimumSize(600, 600) self.vbox = QVBoxLayout() self.vbox.addLayout(self.formLayout) self.vbox.addWidget(self.widget) self.setLayout(self.vbox) def update(self, data): self.df = data self.labelInfo.setText("") self.model = DataFrameModel() self.widget.resize(self.widget.sizeHint()) self.widget.show() self.widget.setViewModel(self.model) self.model.setDataFrame(data) def copy(self): count = 0 indexes = self.widget.tableView.selectionModel().selectedRows() if len(indexes) > 0: rows = [index.row() for index in indexes] count = len(indexes) else: rows = [i for i in range(self.widget.tableView.model().rowCount())] count = self.widget.tableView.model().rowCount() s = '' for i in rows: r = self.df.iloc[[i]] for v in r.values[0].astype(str): s += (v + '\t') s = s[:-1] + '\n' pyperclip.copy(s[:-1]) self.labelInfo.setText(str(count) + " 筆資料已複製至剪貼簿")
# Use QtGui from the compat module to take care if correct sip version, etc. from qtpandas.compat import QtGui from qtpandas.models.DataFrameModel import DataFrameModel from qtpandas.views.DataTableView import DataTableWidget # from qtpandas.views._ui import icons_rc sys.excepthook = excepthook # 設定PyQt的異常鉤子,基本上在本例沒什麼作用 # 建立一個空的模型,該模型用來儲存與處理資料 model = DataFrameModel() # 建立一個應用程式顯示表格 app = QtGui.QApplication([]) widget = DataTableWidget() # 建立一個空的表格,用來呈現資料 widget.resize(500, 300) # 調整Widget的大小 widget.show() # 讓表格繫結模型,也就是呈現模型的內容 widget.setViewModel(model) # 建立測試資料 data = { 'A': [10, 11, 12], 'B': [20, 21, 22], 'C': ['Peter Pan', 'Cpt. Hook', 'Tinkerbell'] } df = pandas.DataFrame(data) # 下面兩列用來測試委託是否成立 df['A'] = df['A'].astype(numpy.int8) # A欄資料格式變成整數 df['B'] = df['B'].astype(numpy.float16) # B欄資料格式變成浮點數
class Main: def __init__(self): """ 初始化主界面 """ self.ui = loadUi("UI/main.ui") self.ui.setWindowTitle("聚类系统") self.DataHelper = None self.ui.btn_choose_data.clicked.connect(self.choose_path) self.ui.btn_set_parameter.clicked.connect(self.set_parameter) self.ui.btn_spin.addItems( ["KMeans", "GMM", "DBSCAN", "OPTICS","BIRCH", "MeanShift", "CLIQUE"]) self.ui.btn_run.clicked.connect(self.run) self.cluster = ClusterHelper() self.ui.btn_show_image.clicked.connect(self.show_image) def show_image(self): """ 展示聚类结果 """ try: self.cluster.imshow() except: QMessageBox.about(self.ui, "展示失败", "请先训练你的聚类器") def choose_path(self): """ 选择数据集 """ file_name = QtWidgets.QFileDialog.getOpenFileName( self.ui, "请选择你要打开数据的名字", "./data/", "Csv files(*.csv)") file_name = file_name[0] self.DataHelper = DataHelper(file_name) name = file_name.split("/")[-1] self.ui.ldata_name.setText(name) self.show_information() self.show_data() def show_information(self): """ 显示数据集的基本信息 """ self.ui.ldata_shape.setText(str(self.DataHelper.shape)) self.ui.ldata_class.setText(str(self.DataHelper.class_)) def set_parameter(self): """ 设置分类器 """ currentText = self.ui.btn_spin.currentText() self.newWindow = SecondWindow(algorithm=currentText) self.newWindow.btn_yes.clicked.connect(self.get_parameter) self.newWindow.show() def get_parameter(self): """ 获得参数信息 """ self.newWindow.window_exit() self.ui.tmessage_show.setText(self.newWindow.message) currentText = self.ui.btn_spin.currentText() param_dict = [eval(line.split(":")[1]) for line in self.newWindow.message.split("\n")[1:-1]] self.cluster.set_Cluster(currentText, param_dict) def show_data(self): """ 展示读取进来的数据 """ self.widget = DataTableWidget(self.ui) model = DataFrameModel() model.setDataFrame(self.DataHelper.data) self.widget.setViewModel(model) self.widget.move(30, 200) self.widget.resize(350, 350) self.widget.show() def run(self): """ 运行聚类算法 """ if(self.DataHelper == None): QMessageBox.about(self.ui, "运行失败", "请选择你的数据集") elif(self.cluster.cluster == None): QMessageBox.about(self.ui, "运行失败", "请初始化你的聚类器") else: self.cluster.fit(self.DataHelper.data) score = self.cluster.get_score() text = "" for item in score.items(): text += item[0] + str(item[1]) + "\n" self.ui.t_ans.setText(text)
# Use QtGui from the compat module to take care if correct sip version, etc. from qtpandas.compat import QtGui from qtpandas.models.DataFrameModel import DataFrameModel from qtpandas.views.DataTableView import DataTableWidget # from qtpandas.views._ui import icons_rc sys.excepthook = excepthook # Setup a new empty model model = DataFrameModel() # Setup an application and create a table view widget app = QtGui.QApplication([]) widget = DataTableWidget() widget.resize(800, 600) widget.show() # Asign the created model""" widget.setViewModel(model) # Create some test data data = { 'A': [10, 11, 12], 'B': [20, 21, 22], 'C': ['Peter Pan', 'Cpt. Hook', 'Tinkerbell'] } df = pandas.DataFrame(data) # Convert the column to the numpy.int8 datatype to test the delegates in the # table int8 is limited to -128-127 df['A'] = df['A'].astype(numpy.int8)
# Use QtGui from the compat module to take care if correct sip version, etc. from qtpandas.compat import QtGui from qtpandas.models.DataFrameModel import DataFrameModel from qtpandas.views.DataTableView import DataTableWidget # from qtpandas.views._ui import icons_rc sys.excepthook = excepthook # 设置PyQt的异常钩子,在本例中基本没什么用 # 创建一个空的模型,该模型用于存储与处理数据 model = DataFrameModel() # 创建一个应用用于显示表格 app = QtGui.QApplication([]) widget = DataTableWidget() # 创建一个空的表格,主要用来呈现数据 widget.resize(500, 300) # 调整Widget的大小 widget.show() # 让表格绑定模型,也就是让表格呈现模型的内容 widget.setViewModel(model) # 创建测试数据 data = { 'A': [10, 11, 12], 'B': [20, 21, 22], 'C': ['Peter Pan', 'Cpt. Hook', 'Tinkerbell'] } df = pandas.DataFrame(data) # 下面两列用来测试委托是否成立 df['A'] = df['A'].astype(numpy.int8) # A列数据格式变成整型 df['B'] = df['B'].astype(numpy.float16) # B列数据格式变成浮点型
from qtpandas.excepthook import excepthook # Use QtGui from the compat module to take care if correct sip version, etc. from qtpandas.compat import QtGui from qtpandas.models.DataFrameModel import DataFrameModel from qtpandas.views.DataTableView import DataTableWidget # from qtpandas.views._ui import icons_rc if __name__ == '__main__': standard_library.install_aliases() sys.excepthook = excepthook model = DataFrameModel() app = QtGui.QApplication([]) widget = DataTableWidget() widget.setWindowTitle("qtPandas Demo") widget.setWindowIcon(QIcon("./images/Python2.ico")) widget.resize(500, 300) widget.show() widget.setViewModel(model) data = { 'A': [10, 11, 12], 'B': [20, 21, 22], 'C': ['Peter Pan', 'Cpt. Hook', 'Tinkerbell'] } df = pandas.DataFrame(data) df['A'] = df['A'].astype(numpy.int8) df['B'] = df['B'].astype(numpy.float16) model.setDataFrame(df) app.exec_()