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

转载 作者:太空宇宙 更新时间:2023-11-04 02:34:26 26 4
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使用下面的代码,我可以在用 pyqt5 设计的图形用户界面中绘制基本的 matplotlib 图(例如给它一个 xs 和 ys 的列表,它绘制点)。但是,我无法插入高级模块,例如 seaborn 或 networkx(让我们关注 seaborn),它们利用 matplotlib 的绘图功能来显示您使用这些函数生成的数据。

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,这些函数正在设计它们自己的 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小部件代码。

sns.heatmap(xxxx) 返回“ax”,mplwidget.py 脚本应该可以使用它,对吧?我可以将它们传递给 Canvas 以显示 seaborn 图形吗?

最佳答案

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 Axes, optional

Axes in which to draw the plot, otherwise use the currently-active Axes.

那么你应该将 MplCanvasAxesSubplot 作为参数 ax 传递:

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()

我使用过许多类似于 heatmap 的函数,并且总是提供该参数。

关于python - seaborn 和 networkx 可以通过 matplotlib 集成到 GUI 中吗?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48273065/

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