Question

使用下面的代码，我可以在pyqt5中设计的gui中绘制基本的matplotlib图（例如给它一个x和y的列表并绘制点）。但是，我无法插入高级模块，例如seaborn或networkx（让我们专注于seaborn），它们利用matplotlib的绘图功能来显示您使用这些功能生成的数据。

from PyQt5 import QtCore, QtGui, QtWidgets
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

class Ui_MainWindow(object):
    def setupUi(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(800, 600)
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")
        self.widget = MplWidget(self.centralwidget)
        self.widget.setGeometry(QtCore.QRect(200, 110, 391, 311))
        self.widget.setObjectName("widget")
        self.label = QtWidgets.QLabel(self.centralwidget)
        self.label.setGeometry(QtCore.QRect(250, 40, 231, 61))
        self.label.setObjectName("label")
        self.pushButton = QtWidgets.QPushButton(self.centralwidget)
        self.pushButton.setGeometry(QtCore.QRect(50, 180, 113, 32))
        self.pushButton.setObjectName("pushButton")
        MainWindow.setCentralWidget(self.centralwidget)
        self.menubar = QtWidgets.QMenuBar(MainWindow)
        self.menubar.setGeometry(QtCore.QRect(0, 0, 800, 22))
        self.menubar.setObjectName("menubar")
        MainWindow.setMenuBar(self.menubar)
        self.statusbar = QtWidgets.QStatusBar(MainWindow)
        self.statusbar.setObjectName("statusbar")
        MainWindow.setStatusBar(self.statusbar)

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

        self.pushButton.clicked.connect(self.Graphitdude)

    def Graphitdude(self):
        Lister3 = pd.read_csv("Betadata.csv",index_col=[0])#just a collection of labels and assorted correlation values ranging from 0 to 1 to be constructed into a heatmap.
        plot = sns.heatmap(Lister3) # This is the problematic function, it does it, and I can display it IN LINE but not in the gui canvas? 
        plt.yticks(rotation=0)
        self.widget.canvas.ax.plot()#if passed discreet x and y values, it graphs it, but it doesnt like to pass the seaborn figure?
        self.widget.canvas.draw()

    def retranslateUi(self, MainWindow):
        _translate = QtCore.QCoreApplication.translate
        MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
        self.label.setText(_translate("MainWindow", "<html><head/><body><p align=\"center\"><span style=\" font-size:24pt; font-weight:600;\">Test</span></p></body></html>"))
        self.pushButton.setText(_translate("MainWindow", "PushButton"))

from mplwidget import MplWidget

if __name__ == "__main__":
    import sys
    app = QtWidgets.QApplication(sys.argv)
    MainWindow = QtWidgets.QMainWindow()
    ui = Ui_MainWindow()
    ui.setupUi(MainWindow)
    MainWindow.show()
    sys.exit(app.exec_())

mplwidget.py如下：

from PyQt5 import QtWidgets
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as Canvas
import matplotlib


matplotlib.use('QT5Agg')

# Matplotlib canvas class to create figure
class MplCanvas(Canvas):
    def __init__(self):
        self.fig = Figure()
        self.ax = self.fig.add_subplot(111)
        Canvas.__init__(self, self.fig)
        Canvas.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
        Canvas.updateGeometry(self)

# Matplotlib widget
class MplWidget(QtWidgets.QWidget):
    def __init__(self, parent=None):
        QtWidgets.QWidget.__init__(self, parent)   # Inherit from QWidget
        self.canvas = MplCanvas()                  # Create canvas object
        self.vbl = QtWidgets.QVBoxLayout()         # Set box for plotting
        self.vbl.addWidget(self.canvas)
        self.setLayout(self.vbl)

我最好的想法是这些函数正在设计自己的matplotlib图（或子图，不确定），并且这个图不能通过我尝试过的方法提供给widget代码。

sns.heatmap（xxxx）返回＆＃34; ax＆＃34;，它应该可以被mplwidget.py脚本使用，对吧？我可以将这些传递给画布以显示seaborn图形吗？

Answer 1

根据documentation：

seaborn.heatmap（data，vmin = None，vmax = None，cmap = None，center = None，robust = False，annot = None，fmt ='。2g'，annot_kws = None，linewidths = 0 ，linecolor ='white'，cbar = True，cbar_kws = None，cbar_ax = None，square = False，xticklabels ='auto'，yticklabels ='auto'，mask = None，ax = None，** kwargs）

[...]

ax ：matplotlib轴，可选

绘制绘图的轴，否则使用当前活动的轴。

那么你应该只传递AxesSubplot MplCanvas作为参数ax：

def Graphitdude(self):
    Lister3 = pd.read_csv("Betadata.csv",index_col=[0])
    plot = sns.heatmap(Lister3, ax=self.widget.canvas.ax) 
    plt.yticks(rotation=0)
    self.widget.canvas.draw()

我使用了许多与heatmap类似的功能，并始终提供该参数。

可以通过matplotlib将seaborn和networkx集成到GUI中吗？

1 个答案: