Question

我有这段代码，可以按特定物料编号分析哪些交货延迟，或者可以显示所有物料编号哪些延迟交货。在这里，我按“早交货”，“准时交货”和“晚交货”对“延迟”进行了分类，然后想对这些结果进行绘图。这段代码在没有GUI应用程序部分的情况下工作得很好（tkinter），现在，当我尝试生成图形时，想要指定是否要包含所有材料，而不是特定材料，单击按钮时什么也没有发生执行我的代码。我相信这与单选按钮以及如何在if语句中设置最终生成图形的值有关；关于我应该如何处理该部分代码的逻辑的任何建议？我希望该应用程序能够生成我列出的类别的条形图。

import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from tkinter import*





master = Tk()


label2= Label(master, text='Start Year')
label2.grid(row=4, column=0)

label3= Label(master, text='End Year')
label3.grid(row=5, column=0)

label4= Label(master, text='Material')
label4.grid(row=6, column=0)




textBox = Text(master, height=1, width=10, font=('Consolas', 9))
textBox.grid(row=4, column=1)

textBox2 = Text(master, height=1, width=10, font=('Consolas', 9))
textBox2.grid(row=5, column=1)

textBox3 = Text(master, height=1, width=10, font=('Consolas', 9))
textBox3.grid(row=6, column=1)


All = StringVar()
All.set(1)

Alll = Radiobutton(master, text="All", variable=All, value=2)
Alll.grid(row=7, column=0)


Material = Radiobutton(master, text="Material", variable=All, value=1)
Material.grid(row=8, column=0)





def retrieve_input():
    StartYear = textBox.get("1.0","end-1c") 
    EndYear = textBox2.get("1.0","end-1c") 
    Materiall = textBox3.get("1.0","end-1c") 

    Material= 'Material'
    DELIVERY_DATE = 'Delivery Date'
    DESIRED_DATE = 'source desired delivery date'
    DELAYED_DAYS = 'Delayed Days'





    df = pd.read_csv('otdo.csv')

    df['Delivery Date'] = pd.to_datetime(df['Delivery Date'], format='%m/%d/%Y')
    df['source desired delivery date'] = pd.to_datetime(df['source desired delivery date'], format='%m/%d/%Y')


    late_threshold = pd.Timedelta(days=0)
    late_threshold2 = pd.Timedelta(days=10)

    df[DELIVERY_DATE] = pd.to_datetime(df[DELIVERY_DATE])
    df[DESIRED_DATE] = pd.to_datetime(df[DESIRED_DATE])
    df[DELAYED_DAYS] = df[DELIVERY_DATE] - df[DESIRED_DATE]


    df2 = df[(df['Delivery Date'].dt.year >= int(StartYear)) & (df['Delivery Date'].dt.year <= int(EndYear))]




    df3 = df2[ df2[DELAYED_DAYS] > late_threshold] 
    df3 =  df3[late_threshold2 > df3[DELAYED_DAYS]]
    df3 = df3.loc[df['Material'].str.contains('1005459', na=False)]




    df4 = df2[ df2[DELAYED_DAYS] > late_threshold2] 
    df4 = df4.loc[df['Material'].str.contains('1005459', na=False)]



    df5 = df2[df2[DELAYED_DAYS] <= late_threshold] 
    df5 = df5.loc[df['Material'].str.contains('1005459', na=False)]



    df6 = df2.loc[df['Material'].str.contains('1005459', na=False)]





    df7 = df2[ df2[DELAYED_DAYS] > late_threshold] 
    df7 =  df7[late_threshold2 > df7[DELAYED_DAYS]]



    df8 = df2[ df2[DELAYED_DAYS] > late_threshold2] 


    df9 = df2[df2[DELAYED_DAYS] <= late_threshold] 



    zero3 = df4.count() 
    zero4 = df5.count() 
    zero5 = df7.count()
    zero6 = df8.count()
    zero7 = df9.count() 


    if All == 1:

        objects = ('1', '2', '3')
        y_pos = np.arange(len(objects))
        values = [zero3.Material, zero4.Material, zero5.Material]

        plt.bar(y_pos, values, align='center', alpha=0.2)
        plt.xticks(y_pos, objects)

        plt.show()

    if All == 2:

        objects = ('1', '2', '3')
        y_pos = np.arange(len(objects))
        values = [zero5.Material, zero6.Material, zero7.Material]

        plt.bar(y_pos, values, align='center', alpha=0.2)
        plt.xticks(y_pos, objects)

        plt.show()


button1 = Button(master,text="Show Values", command=lambda: retrieve_input())
button1.grid(row=13, column=1)



mainloop( )

csv文件：

Gui：

生成的图形（没有tkinter部分）

样本数据：

 Material    Delivery Date   source desired delivery date

3334678 12/31/2014  12/31/2014
233433  12/31/2014  12/31/2014
3434343 1/5/2015    1/6/2015
3334567 1/5/2015    1/5/2015
546456  2/11/2015   2/10/2015
221295  4/10/2015   4/10/2015
20065316    2/17/2015   2/17/2015
10011155    1/5/2015    1/5/2015

在tkinter中用if语句绘制，不执行

0 个答案: