在 Python GUI 中创建图形 [英] Creating Graphs in Python GUI

问题描述

我创建了一个 GUI，我可以在其中读取 CSV 文件并根据数据计算液体输出.现在我想做两件事:
1)我想根据时间生成输出，就像日期
2) 我想在我的 GUI 中的单独窗口上为用户特定的时间或日期生成图形

I have created a GUI in which I read a CSV file and calculate the liquid output from the data. Now I want to do two things:
1) I want to generate the output based on time just like date
2) I want to generate graphs on a separate window in my GUI for a user specific time or date

这是我的代码:

import csv
from tkinter import *
from tkinter.filedialog import askopenfilename
from tkinter.messagebox import showwarning, showinfo
import datetime

#csv_file = csv.reader(open("C:\Users\Lala Rushan\Downloads\ARIF Drop Monitoring Final\ARIF Drop Monitoring Final\DataLog.csv"))
from Tools.scripts.treesync import raw_input
class App(Frame):
    def __init__(self, master):
        Frame.__init__(self, master)


        button1 = Button(self, text="Browse for a file", command=self.askfilename)
        button2 = Button(self, text="Count the file", command=self.takedate)
        button3 = Button(self, text="Exit", command=master.destroy)
        button1.grid()
        button2.grid()
        button3.grid()
        self.userInputFromRaw = Entry(self)
        self.userInputFromRaw.grid()

        self.userInputToRaw = Entry(self)
        self.userInputToRaw.grid()

        self.grid()

    def askfilename(self):
        in_file = askopenfilename()
        if not in_file.endswith(('.CSV')):
            showwarning('Are you trying to annoy me?', 'How about giving me a CSV file, genius?')
        else:
            self.in_file=in_file

    def CsvImport(self,csv_file):


        dist = 0
        for row in csv_file:
            _dist = row[0]
            try:
                _dist = float(_dist)
            except ValueError:
                _dist = 0

            dist += _dist
        print ("Urine Volume is: %.2f" % (_dist*0.05))


    def takedate(self):
        from_raw = self.userInputFromRaw.get()
        from_date = datetime.date(*map(int, from_raw.split('/')))
        print ('From date: = ' + str(from_date))
        to_raw = self.userInputToRaw.get()
        to_date = datetime.date(*map(int, to_raw.split('/')))
        in_file = ("H:\DataLog.csv")
        in_file= csv.reader(open(in_file,"r"))

        for line in in_file:
            _dist = line[0]
            try:
                file_date =  datetime.date(*map(int, line[1].split(' ')[1].split('/')))
                if from_date <= file_date <= to_date:
                    self.CsvImport(in_file)

            except IndexError:
                pass

root = Tk()
root.title("Urine Measurement")
root.geometry("500x500")
app = App(root)
root.mainloop()

我怎样才能完成上述 2 个任务?

How can I achieve the above 2 tasks?

推荐答案

我必须同意 Jacques de Hooge 的观点，您应该为此使用 matplotlib.在文件开始时，导入它:

I must agree with Jacques de Hooge, you should be using matplotlib for that. At the beggining of your file, import it:

import matplotlib.pyplot as plt

因为你只想打开一个带有绘图的新窗口，一个 matplotlib 窗口就足够了.您可以使用散点图:

As you only want to open a new window with the plot, a matplotlib window should suffice. You can use a scatter plot:

plt.scatter(X, Y)

其中 X 是具有 x 坐标的可迭代对象，而 Y 是具有 y 坐标的可迭代对象.由于您想要做一些随时间不断变化的事情，您可以使用 values 列表和要绘制的值，执行以下操作:

Where X is an iteratable with the x coordinates and Y an iteratable with the y coordinates. Since you want to do something with a constant change in time, you can, having a values list with the values to plot, do the following:

plt.scatter(range(len(values)), values)
plt.show()

您可能还想在一个线程中运行它，以便在 matplotlib 窗口打开时程序的其余部分不会冻结".有很多地方对此进行了解释.

You might also want to run this inside a thread, so that the rest of the program doesn't "freeze" while the matplotlib window is open. There are plenty of places where this is explained.

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