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_()
