Question

在我的程序中，我先拍摄了人物，然后将人物导入画布。然后我将画布导入滚动区域。当我运行程序时，如果我向左滚动，yaxis刻度标签会隐藏，或者我向右滚动，yaxis刻度标签也会隐藏。我有两个轴。轴，轴2。我已经设置了axis2.yaxis.tick_right（）和axes.yaxis.tick_right（）。

我希望yaxis刻度标签将保持在右侧并且可见，无论我向左还是向右滚动。

import sys
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from PyQt5.QtWidgets import QMainWindow,QVBoxLayout
from PyQt5.QtWidgets import QApplication
from PyQt5 import QtCore, QtGui, QtWidgets
import datetime
from matplotlib.dates import num2date, date2num
from mpl_finance import candlestick_ochl as candlestick
import numpy as np
import matplotlib.ticker as ticker
import matplotlib.dates as mdates
import pylab as pl
class MainWindow_code_serarch(object):

    def setup_code_serarch(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(870, 680)
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")
        self.verticalLayoutWidget1 = QtWidgets.QWidget(self.centralwidget)
        self.verticalLayoutWidget1.setGeometry(QtCore.QRect(17, 30, 741, 13))
        self.verticalLayoutWidget1.setObjectName("verticalLayoutWidget")
        self.verticalLayout1 = QtWidgets.QVBoxLayout(self.verticalLayoutWidget1)
        self.verticalLayout1.setContentsMargins(0, 0, 0, 0)
        self.verticalLayout1.setObjectName("verticalLayout1")
        self.verticalLayoutWidget = QtWidgets.QWidget(self.centralwidget)
        self.verticalLayoutWidget.setGeometry(QtCore.QRect(17, 10, 940, 603))
        self.verticalLayoutWidget.setObjectName("verticalLayoutWidget")
        self.verticalLayout = QtWidgets.QVBoxLayout(self.verticalLayoutWidget)
        self.verticalLayout.setContentsMargins(0, 0, 0, 0)
        self.verticalLayout.setObjectName("verticalLayout")
        self.figure = Figure(figsize=(100,7.2), dpi=80, facecolor='k')
        self.canvas = FigureCanvas(self.figure)
        self.widget = QtWidgets.QWidget()
        self.scroll_area = QtWidgets.QScrollArea(self.widget)
        self.scroll_area.setWidget(self.canvas)
        self.verticalLayout.addWidget(self.scroll_area)
        axes,axes2 = self.figure.subplots(nrows=2, sharex=True)
        data = {
            'date': ['2018/10/30', '2018/11/03', '2018/11/04', '2018/11/05', '2018/11/07', '2018/11/10', '2018/11/11'],
            'open': [8824, 8726.31, 8642.14, 8531.51, 8630.25, 8602.50, 8640.22],
            'high': [8858, 8748.60, 8551.36, 8653.16, 8476.69, 8630, 8570.56],
            'low': [8688, 8743.67, 8550.76, 8449.50, 8631.83, 8602.18, 8743.22],
            'close': [8820, 8747.17, 8550.52, 8553., 8517.10, 8628.78, 8588.52],
            'volume': [17759.56, 120000.17, 18739.52, 38599.50, 16517.10, 17723.78, 15588.52]
        }
        x = date2num([datetime.datetime.strptime(d, '%Y/%m/%d').date() for d in data['date']])
        t= np.arange(len(data['date']))
        candle_trace = zip(t, data['open'], data['high'], data['low'], data['close'], data['volume'])
        candlestick(axes, candle_trace, width=.75, colorup='g', colordown='r')
        axes2.plot(t, [1, 2, 3, 4, 7, 8, 9])
        axes.set_position([0.02, 0.37, 0.88, 0.6])
        axes2.set_position([0.02, 0.15, 0.88, 0.22])
        axes.tick_params(axis='both', color='#ffffff', labelcolor='#ffffff')
        axes.yaxis.tick_right()
        axes2.tick_params(axis='both', color='#ffffff', labelcolor='#ffffff')
        axes2.grid(color='lightgray', linewidth=.5, linestyle=':')
        axes.grid(color='lightgray', linewidth=.5, linestyle=':')
        axes2.yaxis.tick_right()
        axes.autoscale_view()
        axes2.autoscale_view()
        axes.set_facecolor('#041105')
        axes2.set_facecolor('#041105')
        # N = len(dates)
        axes.set_xticks(range(0, len((x)), 1))
        axes.set_xticklabels([mdates.num2date(d).strftime('%b-%d') for d in x])
        axes.set_xticklabels([mdates.num2date(d).strftime('%Y-%m-%d') for d in x])
        axes2.set_xticklabels([mdates.num2date(d).strftime('%Y-%m-%d') for d in x])
        self.canvas.draw()
        MainWindow.setCentralWidget(self.centralwidget)
        self.menubar = QtWidgets.QMenuBar(MainWindow)
        self.menubar.setGeometry(QtCore.QRect(0, 0, 246, 21))
        self.menubar.setObjectName("menubar")
        MainWindow.setMenuBar(self.menubar)
        self.statusbar = QtWidgets.QStatusBar(MainWindow)
        self.statusbar.setObjectName("statusbar")
        MainWindow.setStatusBar(self.statusbar)
        # self.pushButton.clicked.connect(self.graphShowCode)

        self.retranslateUi(MainWindow)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)

    def retranslateUi(self, MainWindow):
        _translate = QtCore.QCoreApplication.translate
        MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
        # self.pushButton.setText(_translate("MainWindow", "OK"))
if __name__ == "__main__":
    import sys
    app = QtWidgets.QApplication(sys.argv)
    MainWindow = QtWidgets.QMainWindow()
    ui = MainWindow_code_serarch()
    ui.setup_code_serarch(MainWindow)
    MainWindow.show()
    sys.exit(app.exec_())

输出图像：

当我向左滚动输出图像2时：

Answer 1

这是一种使用PyQt QtScrollBar 滚动轴内容的方法。这可以通过根据滚动条的值更改轴的限制来完成。为此，已注册了QtScrollBar的{{1}}方法的回调，该回调会更改轴的限制。

actionTriggered

Answer 2

上面的答案很好用，但是不能将控制权交还给spyder窗口或python命令行。同样在spyder中，它只能运行一次。添加了从QT窗口退出时从另一个线程看到的更多点，并对此进行了改进。

import sys
import matplotlib
# Make sure that we are using QT5
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
from PyQt5 import QtWidgets, QtCore
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
import numpy as np

from PyQt5.QtWidgets import QMainWindow, QLabel, QGridLayout, QWidget
from PyQt5.QtCore import QSize

class HelloWindow(QMainWindow):
    def __init__(self, fig, ax , step = 0.1):


        plt.close("all")
        if not QtWidgets.QApplication.instance():
            self.app = QtWidgets.QApplication(sys.argv)
        else:
            self.app = QtWidgets.QApplication.instance() 

        
        QMainWindow.__init__(self)
 
        self.setMinimumSize(QSize(1500, 100))    
        self.setWindowTitle("Value Plotting") 

        self.step = step
        
        self.widget = QWidget() 
        self.setCentralWidget( self.widget )

        self.widget.setLayout(QtWidgets.QVBoxLayout())
        self.widget.layout().setContentsMargins(0,0,0,0)
        self.widget.layout().setSpacing(0)

        self.fig = fig
        self.ax = ax
        self.canvas = FigureCanvas(self.fig)
        self.canvas.draw()
        self.scroll = QtWidgets.QScrollBar(QtCore.Qt.Horizontal)
        self.step = step
        self.setupSlider()
        self.nav = NavigationToolbar(self.canvas, self.widget)#        self.widget.layout().addWidget(self.nav)
        self.widget.layout().addWidget(self.canvas)
        self.widget.layout().addWidget(self.scroll)

        menu = self.menuBar().addMenu('Action for quit')
        action = menu.addAction('Quit')
        action.triggered.connect(QtWidgets.QApplication.quit)

        self.canvas.draw()


        
    def setupSlider(self):
        self.lims = np.array(self.ax.get_xlim())
        self.scroll.setPageStep(self.step*100)
        self.scroll.actionTriggered.connect(self.update)
        self.update()

    def update(self, evt=None):
        r = self.scroll.value()/((1+self.step)*100)
        l1 = self.lims[0]+r*np.diff(self.lims)
        l2 = l1 +  np.diff(self.lims)*self.step
        self.ax.set_xlim(l1,l2)
        print(self.scroll.value(), l1,l2)
        self.fig.canvas.draw_idle()

        
 
if __name__ == "__main__":
    def run_app(fig,ax):
        app = QtWidgets.QApplication(sys.argv)
        mainWin = HelloWindow(fig,ax)
        mainWin.show()
        app.exec_()


    fig, ax = plt.subplots()
    t = np.linspace(0,3000,101)
    x = np.cumsum(np.random.randn(len(t)))
    ax.plot(t,x, marker="o")

    run_app(fig,ax)

发现它在python控制台上运行良好。大致在Spyder中退出。顶部关闭按钮不起作用，但是从菜单操作时退出。

如何将yaxis刻度标签设置在固定位置，以便当我向左或向右滚动时yaxis刻度标签应该可见？

2 个答案: