from PyQt4.QtCore import QObject, pyqtSignal, Qt, pyqtSlot from PyQt4.QtGui import QColor import numpy as np import pyqtgraph as pg __author__ = 'markusro' class BaseObject(QObject): changedData = pyqtSignal() removeObj = pyqtSignal(QObject) def __init__(self, plt_real=None, plt_imag=None, limits=None): super(BaseObject, self).__init__() myPen = pg.mkPen( style=Qt.DotLine, width=2.5) self.data_curve_real = pg.PlotDataItem(x=np.array([np.nan]),y=np.array([np.nan]), pen=myPen) self.plt_real = plt_real self.plt_real.addItem(self.data_curve_real) self.data_curve_imag = pg.PlotDataItem(x=np.array([np.nan]),y=np.array([np.nan]), pen=myPen) self.plt_imag = plt_imag self.plt_imag.addItem(self.data_curve_imag) self.limits = limits # private varaibles self._color = QColor("white") self._id_label = None self._id_string = None self._widget = None self._frequency = np.logspace(np.log10(limits[0]), np.log10(limits[1]), 256) self._data = None self._func = None self._beta = None self._sd_beta = None self._selector_mask = None self._param_number = 0 self._abort = False def set_limits(self, limits): self.limits = limits self.updateData() @pyqtSlot(bool) def abort(self, abort=False): self._abort = abort @property def param_number(self): return self._param_number @param_number.setter def param_number(self, num): self._param_number = num @property def id_string(self): return self._id_string @id_string.setter def id_string(self, id): #self._func = self.functions.get_function(id) self._id_string = id @property def id_label(self): return self._id_label @id_label.setter def id_label(self, id): #self._func = self.functions.get_function(id) self._func = self.function self._id_label = id @property def color(self): return self._color @color.setter def color(self, c): self._color = c print c self.data_curve_real.setPen(color=c, style=Qt.DotLine, width=2.5) self.data_curve_imag.setPen(color=c, style=Qt.DotLine, width=2.5) @property def widget(self): return self._widget @widget.setter def widget(self, wdgt): self._widget = wdgt self._widget.changedTable.connect(self.updateData) # TODO better to use self.setParameter self.removeObj.connect(self._widget.deleteLater) self._widget.removeMe.connect(self.removeMe) def getParameter(self): p = self.widget.getTable() # TODO ugly ... should return self._beta etc ...? return p def getFixed(self): p = self.widget.fixedParameter() return p def setParameter(self, beta, sd_beta=None): self._beta = beta self._sd_beta = sd_beta self.widget.updateTable(beta, sd_beta) self.updateData() def get_data(self): return self._frequency, self._data def removeMe(self): self.plt_imag.removeItem(self.data_curve_imag) self.plt_real.removeItem(self.data_curve_real) self.removeObj.emit(self) self.changedData.emit() def updateData(self): self._frequency = np.logspace(np.log10(self.limits[0]), np.log10(self.limits[1]), 256) self._data = self._func(self.getParameter(), self._frequency) self.data_curve_real.setData(x=self._frequency, y=self._data[0]) self.data_curve_imag.setData(x=self._frequency, y=self._data[1]) self.changedData.emit() def resampleData(self, x): data = self._func(self.getParameter(), x) return np.array([x,data[0],data[1]]).T def clearData(self): self.data_curve_real.setData(x=[np.nan], y=[np.nan]) self.data_curve_imag.setData(x=[np.nan], y=[np.nan]) def function(self,p,x): if self._abort: raise StopIteration #raise NotImplementedError, "This needs to be implemented in your subclass"