PyQtGraph – Double Click Event for Bar Graph - GeeksforGeeks

30 Nov, 2021
In this article we will see how we can create a double click event with the bar graph in the PyQtGraph module. PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in designing and science applications. Its primary goals are to provide fast, interactive graphics for displaying data (plots, video, etc.) and second is to provide tools to aid in rapid application development (for example, property trees such as used in Qt Designer).A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart. Double click event is the vent which get triggered when double mouse click is occurred on the bar graph.We can create a plot window and bar graph with the help of commands given below 
# creating a pyqtgraph plot window
window = pg.plot()

# creating a bar graph of green color
bargraph = pg.BarGraphItem(x=x, height=y1, width=0.6, brush='g')
In order to do this we have modify the bar graph class, below is the class which can be used 
# Bar Graph class
class BarGraphItem(pg.BarGraphItem):
    
    # constructor which inherit original 
    # BarGraphItem
    def __init__(self, *args, **kwargs):
        pg.BarGraphItem.__init__(self, *args, **kwargs)

    # creating a mouse double click event
    def mouseDoubleClickEvent(self, e):
        
        # increase the scale of the graph
        # x-axis by 2 and y-axis by 2
        self.scale(2, 2)
        
        # print the message
        print("Mouse Double Click Event")
Below is the implementation 
Python3
# importing Qt widgetsfrom PyQt5.QtWidgets import * import sys # importing pyqtgraph as pgimport pyqtgraph as pgfrom PyQt5.QtGui import * # Bar Graph classclass BarGraphItem(pg.BarGraphItem):     # constructor which inherit original    # BarGraphItem    def __init__(self, *args, **kwargs):        pg.BarGraphItem.__init__(self, *args, **kwargs)     # creating a mouse double click event    def mouseDoubleClickEvent(self, e):         # increase the scale of the graph        # x-axis by 2 and y-axis by 2        self.scale(2, 2)         # print the message        print("Mouse Double Click Event")   class Window(QMainWindow):     def __init__(self):        super().__init__()         # setting title        self.setWindowTitle("PyQtGraph")         # setting geometry        self.setGeometry(100, 100, 600, 500)          # icon        icon = QIcon("skin.png")         # setting icon to the window        self.setWindowIcon(icon)         # calling method        self.UiComponents()         # showing all the widgets        self.show()     # method for components    def UiComponents(self):         # creating a widget object        widget = QWidget()         # creating a plot window        plot = pg.plot()         # create list for y-axis        y1 = [5, 5, 7, 10, 3, 8, 9, 1, 6, 2]         # create horizontal list i.e x-axis        x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]         # create pyqt5graph bar graph item        # with width = 0.6        # with bar colors = green        bargraph = BarGraphItem(x = x, height = y1, width = 0.6, brush ='g')         # bargraph.viewRangeChanged.connect(lambda: print("sss"))        # add item to plot window        # adding bargraph item to the plot window        plot.addItem(bargraph)         # Creating a grid layout        layout = QGridLayout()         # setting this layout to the widget        widget.setLayout(layout)         # plot window goes on right side, spanning 3 rows        layout.addWidget(plot, 0, 1, 3, 1)         # setting this widget as central widget of the main window        self.setCentralWidget(widget)  # create pyqt5 appApp = QApplication(sys.argv) # create the instance of our Windowwindow = Window() # start the appsys.exit(App.exec())
Output : 
Mouse Double Click Event
Mouse Double Click Event
Mouse Double Click Event
anikakapoor
Python-gui
Python-PyQt
Python-PyQtGraph
Python
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