Apr-21-2021, 02:46 PM
Hi and sorry for my late response,
I thought thats its a general problem so I kept out the code. I chopped down the code to the essentials and will add it here.
The code is working so I dont post the imports and so on.
For testing purposes the live data is simulated by a .csv-file which is read in the initialisation. The test values are in range of 100 to 200. My problem is, that the labels of the x-ticks and the ticks itselfs are not refreshed according to the plotted data. The horizontal size of the graph is changing as further data is plotted, so in the background the setting of the x limits seems to work.
Any ideas? Thanks a lot
I thought thats its a general problem so I kept out the code. I chopped down the code to the essentials and will add it here.
The code is working so I dont post the imports and so on.
For testing purposes the live data is simulated by a .csv-file which is read in the initialisation. The test values are in range of 100 to 200. My problem is, that the labels of the x-ticks and the ticks itselfs are not refreshed according to the plotted data. The horizontal size of the graph is changing as further data is plotted, so in the background the setting of the x limits seems to work.
Any ideas? Thanks a lot
class Live_Window(FigureCanvas):
def __init__(self, parent=None, width=5, height=4, dpi=100):
super().__init__(mpl.figure.Figure())
self.actRow = 10
self.axis = self.figure.subplots()
self.axis.spines['bottom'].set_color('white')
self.axis.spines['left'].set_color('white')
self.axis.spines['right'].set_visible(False)
self.axis.spines['top'].set_visible(False)
self.axis.tick_params(axis='x', colors='white')
self.axis.tick_params(axis='y', colors='white')
self.axis.xaxis.label.set_color('white')
self.axis.yaxis.label.set_color('white')
self.axis.set_facecolor(('black'))
self.figure.patch.set_facecolor('#2E3436')
self.figure.tight_layout()
class MainWidget(QWidget, XYZ.Ui_Dialog):
def __init__(self):
super(MainWidget,self).__init__()
self.setupUi(self)
self.init_Widget()
self.counter = 1
self.newData = pd.read_csv('Data.csv', sep=';')
self.Time = self.newData.iloc[:,0]-self.newData.iloc[0,0]
self.newData.iloc[:,0] = self.Time
self.pb_StartMeasurement.clicked.connect(self.startMeasurement)
def init_Widget(self):
self.matplotlib_widget1 = Live_Window()
self.layoutvertical1 = QVBoxLayout(self.plotWidget)
self.layoutvertical1.addWidget(self.matplotlib_widget1)
#create empty lists
self.x = list(range(0,0))
self.y = list(range(0,0))
self.line1, = self.matplotlib_widget1.axis.plot(self.x, self.y, lw=1, color = 'chocolate')
def update_line(self, i):
## append new data to data line
self.y.append(self.newData.iloc[self.counter, self.matplotlib_widget1.actRow])
self.x.append(self.newData.iloc[self.counter, 0])
self.matplotlib_widget1.axis.set_xlim([0,max(self.x)])
self.matplotlib_widget1.axis.set_ylim(min(self.y),max(self.y)+10)
self.counter += 1
self.line1.set_ydata(self.y)
self.line1.set_xdata(self.x)
return [self.line1]
## triggered by pushbutton
def startMeasurement(self):
self.ani1 = FuncAnimation( self.matplotlib_widget1.figure, self.update_line,
blit=True, interval=40)
if __name__ == '__main__':
APP = QApplication(sys.argv)
GUI = MainWidget()
GUI.show()
APP.exec_()
sys.exit(APP.exec())