使用 matplotlib 读取具有多列的 csv 文件和 plot 数据

Question

Is there an easy way to read a csv file and plot an undefined(csv file changes) number of columns using pandas, matplotlib, and pyqt5? 我是编程的超级初学者，所以任何帮助都会很棒，我尝试在网上寻找文章来帮助。 但我很迷茫。

我试图创建的 plot 有一个基于时间的 x 轴，格式为 '%d-%m-%Y %H:%M:%S.%f' 位于 csv 文件的第 0 列和y 轴根据从第 1 列开始的列标题而变化。示例：

时间戳、O63ME、O63MT、011KT等...

2020 年 11 月 6 日 11:04:00.196、34、24、11 等...

14/06/2020 11:04:00.449、114、29、3.84 等...

这是我到目前为止所拥有的：

from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg, NavigationToolbar2QT as Navi
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
import pandas as pd

class MyCanvas(FigureCanvasQTAgg):
    def __init__(self,parent=None, dpi = 120):
        fig = Figure(dpi = dpi)
        self.axes = fig.add_subplot(111)
        super(MyCanvas,self).__init__(fig)
        fig.tight_layout()
    
class MyWindow(QMainWindow):
    def __init__(self):
        QMainWindow.__init__(self)

        self.main_widget = QWidget(self)
        
        """create open button for window"""
        open_button =QPushButton('Open')
        open_button.clicked.connect(self.get_file)
        
        """empty canvas"""
        self.canv = MyCanvas(self)
        
        """create toolbar to control plot"""
        self.toolbar = Navi(self.canv,self.main_widget)
        
        """set layout of window"""
        self.grid = QGridLayout(self.main_widget)
        self.grid.addWidget(open_button, 0,0)
        self.grid.addWidget(self.toolbar,0,1)
        self.grid.addWidget(self.canv,1,0)
        
        self.main_widget.setFocus()
        self.setCentralWidget(self.main_widget)

    def get_file(self):
        getFile(self)
        
class openFunction():
    def __init__(self):
        self.filename = ''
        self.df = []
        
    def getFile(self):
        self.filename = QFileDialog.getOpenFileName(filter = "csv (*.csv)")[0]
        self.readData()
        
    def readData(self):
        self.df = pd.read_csv(instance.filename,encoding = 'utf-8').fillna(0)    

    def plot(self):
        plt.clf()
        plt.plot(df[0:],df[1:])
        

if __name__ == '__main__':

    import sys
    app = QApplication(sys.argv)

    w = MyWindow()
    w.setWindowTitle("Something cool goes here")
    w.show()
    app.exec_()