1) 我对列表框有一个问题，当用户在列表框中选择一个国家名称时，我想让它显示该名称作为条目（默认文本）。
2)之后当我点击保存按钮时显示错误(其实我也不知道是什么原因).用户可以输入想要的国家名称(一切都可以).
3)我有一个问题，有一行没有弄明白，(我在下面注释了)
EDIT:1) 发现我的问题后,我需要优化我的程序,我不知道为什么从网站获取数据需要这么多时间?
2) 我需要一个标签来显示点击 "显示数据 "按钮时的输出。
谢谢。
from covid import *
from tkinter import *
import tkinter as tk
import matplotlib.pyplot as plt
import pandas as pd
import pickle
import seaborn as sb
def main():
win=Tk()
win.geometry("400x400")
lbl=Label(win,text="Write ur country name:")
lbl.pack()
#print(country_name)
covid=Covid()
#covid_general=Covid(source="worldometers")
in_country=Entry(win)
in_country.pack()
country_name=in_country.get()
def list_country():
lst_country=covid.list_countries()
lbl_countries=Listbox(win,font=("times",14))
lbl_countries.pack(expand=1,fill=BOTH)
for names in lst_country:
lbl_countries.insert(END,names)
'''
for item in name:
in_country.insert(END,lbl_countries.get(item))
print(item)
'''
def save_data():
country=covid.get_status_by_country_name(country_name)
#what does this do?key:country[key]
data={
key:country[key]
for key in country.keys() and {'confirmed','active','deaths','recovered'}
}
#save the data to a file covid.pkl
a_file=open("covid.pkl","wb")
pickle.dump(data,a_file)
a_file.close()
def load_data():
#read the data from covid.pkl
a_file=open("covid.pkl","rb")
output_a=pickle.load(a_file)
#now get data to data frame
df_a=pd.DataFrame(output_a,index=[country_name],columns=['active','deaths','recovered'])
#filter data again with the numbers only.using dataframe
df_b=df_a.loc[country_name]
#check output
print(df_a)
#reforming pieplot
labels = ['active','deaths','recovered']
colors=['orange','red','green']
explode=(0,0.2,0)
#now plot the data
plt.title("Covid Chart")
main_data=plt.pie(df_a,explode=explode,labels=df_b,colors=colors,autopct='%1.1f%%',startangle=140)
plt.legend(labels,loc="upper left")
plt.show()
btn_save=Button(win,text="Save",command=save_data)
btn_load=Button(win,text="load_data",command=load_data)
btn_list=Button(win,text="Show Countries Name",command=list_country)
btn_save.pack()
btn_load.pack()
btn_list.pack()
win.mainloop()
if __name__=="__main__":
main()
我发现了我所有的问题......
这是我的最终代码。
from covid import *
from tkinter import *
from tkinter import messagebox
import tkinter as tk
import matplotlib.pyplot as plt
import pandas as pd
import pickle
import seaborn as sb
country_get = None
def main():
global country_get
win = Tk()
win.geometry("300x400")
win.title("")
win.configure(bg="#fffaf0")
win.resizable(False, False)
#win.iconbitmap(r'D:/Python.p/Mine/Simple Projects/covid/py.ico')
lbl_intro = Label(win, text="Covid-19 per country", font=("Arial", 16))
lbl_intro.pack()
covid = Covid()
covid_general = Covid(source="worldometers")
# def list_country():
F1 = Frame(borderwidth=2, relief='ridge')
F1.pack()
lst_country = covid_general.list_countries()
lst_country = sorted(lst_country)
lb_countries = Listbox(F1, font=("times", 14), bg='#f5f5f5')
s = Scrollbar(F1)
lb_countries.pack(side=LEFT, expand=1, fill=X)
s.pack(side=RIGHT, fill=Y)
s['command'] = lb_countries.yview
lb_countries['yscrollcommand'] = s.set
#lb_countries.insert(END,"Country List:")
for names in lst_country:
lb_countries.insert(END, names)
def get_country(*args):
# gets which country is selected, and changes the label accordingly
global country_get
country_get = lst_country[lb_countries.curselection()[0]]
lb_countries.bind("<<ListboxSelect>>", get_country)
def save_data():
country = covid.get_status_by_country_name(country_get)
# filtering the data.using the online database
data = {
key: country[key]
for key in country.keys() and {'confirmed', 'active', 'deaths', 'recovered'}
}
print(data)
# print(country_general)
messagebox.showinfo("Covid Data", data)
# save the data to a file covid.pkl
a_file = open("covid.pkl", "wb")
pickle.dump(data, a_file)
a_file.close()
def load_data():
# read the data from covid.pkl
a_file = open("covid.pkl", "rb")
output_a = pickle.load(a_file)
# now get data to data frame
df_a = pd.DataFrame(output_a, index=[country_get], columns=[
'active', 'deaths', 'recovered'])
# filter data again with the numbers only.using dataframe
df_b = df_a.loc[country_get]
# reforming pieplot
labels = ['active', 'deaths', 'recovered']
colors = ['orange', 'red', 'green']
explode = (0, 0.2, 0)
# now plot the data
plt.title("Covid Chart")
main_data = plt.pie(df_a, explode=explode, labels=df_b,
colors=colors, autopct='%1.1f%%', startangle=90)
plt.legend(labels, loc="best")
# fig.canvas.set_window_title('Window')
plt.show()
btn_save = Button(win, text="Show Data", padx=10, pady=4, fg='blue', font=(
'arial', 12, 'bold'), bg='#e2e21d', command=save_data)
btn_load = Button(win, text="Show Plot", padx=10, pady=4, font=(
'arial', 12, 'bold'), bg='#e2e21d', fg='blue', command=load_data)
btn_quit = Button(win, fg='white', padx=12, pady=8, font=('arial', 12, 'bold'), text="Exit",
command=lambda: win.quit(), bg='#0073cf')
btn_quit.pack(side=BOTTOM)
btn_save.pack(side=RIGHT)
btn_load.pack(side=LEFT)
win.mainloop()
if __name__ == "__main__":
main()