問題描述

在我的程序中，我先繪制了圖，然后將圖導入到畫布中.然后我將畫布導入滾動區(qū)域.當我運行我的程序時，如果我向左滾動 yaxis 刻度標簽會隱藏，或者我向右滾動 yaxis 刻度標簽也會隱藏.我采取了兩個軸.軸，軸 2.我已經(jīng)設(shè)置了 axes2.yaxis.tick_right() 和 axes.yaxis.tick_right().

in my program i have taken figure first then i import figue into canvas. Then i import canvas into scroll area. when i run my program ,then if i turn left scroll the yaxis tick label goes hide or i turn right scroll the yaxis tick label goes also hide. i have taken two axis. axis,axis2. i have set axes2.yaxis.tick_right() and axes.yaxis.tick_right().

我希望 yaxis 刻度標簽將保持在右側(cè)并且別名可見，無論我向左或向右滾動.

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_())

輸出圖像:

當我向左滾動輸出圖像 2:

when i turn scroll left output image 2:

推薦答案

這是一種使用 PyQt QtScrollBar 滾動軸內(nèi)容的方法.這是通過根據(jù)滾動條的值更改軸的限制來完成的.為此，注冊了對 QtScrollBar 的 actionTriggered 方法的回調(diào)，該方法會更改坐標軸的限制.

Here is a way to scroll the content of an axes with a PyQt QtScrollBar. This is done by changing the limits of the axes depending on the scroll bar's value. To this end, a callback to the QtScrollBar's actionTriggered method is registered that changes the limits of the axes.

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

class ScrollableWindow(QtWidgets.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() 

        QtWidgets.QMainWindow.__init__(self)
        self.widget = QtWidgets.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)

        self.canvas.draw()
        self.show()
        self.app.exec_()

    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()


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

# pass the figure to the custom window
a = ScrollableWindow(fig,ax)

對于圖中內(nèi)的滾動條，請參閱可滾動條形圖matplotlib

For a Scrollbar within the figure, see Scrollable Bar graph matplotlib

這篇關(guān)于如何將 yaxis 刻度標簽設(shè)置在固定位置，以便當我向左或向右滾動時，yaxis 刻度標簽應(yīng)該可見?的文章就介紹到這了，希望我們推薦的答案對大家有所幫助，也希望大家多多支持html5模板網(wǎng)！