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📜  使用Python构建 GUI 应用程序以获取实时空气质量信息。

📅  最后修改于: 2022-05-13 01:54:53.409000             🧑  作者: Mango

使用Python构建 GUI 应用程序以获取实时空气质量信息。

我们生活在现代化和工业化时代。我们的生活变得越来越方便。但问题是空气污染随着时间的推移而出现。这种污染使我们不健康,空气是我们生命的生命线。

在本文中,我们将编写Python脚本来获取实时空气质量信息并将其与 GUI 应用程序绑定。

需要的模块

  • bs4: Beautiful Soup(bs4) 是一个Python库,用于从 HTML 和 XML 文件中提取数据。要安装此类型,请在终端中输入以下命令。
  • 请求:这使您可以非常轻松地发送 HTTP/1.1 请求。要安装此类型,请在终端中输入以下命令。

方法:

  • 从给定的 URL 中提取数据形式。选择所需位置后复制 URL。
  • 在请求和 Beautiful Soup 模块的帮助下抓取数据。
  • 将该数据转换为 HTML 代码。
  • 找到所需的详细信息并过滤它们。

执行:

第 1 步:导入所有需要的模块

Python3
# import module
import requests
from bs4 import BeautifulSoup


Python3
# link to extract html data
      
def getdata(url):
    r=requests.get(url)
    return r.text


Python3
htmldata = getdata(# write the URL )
soup = BeautifulSoup(htmldata, 'html.parser')
result = (soup.find_all("div", class_="styles__primaryPollutantGraphNumber__2WgP9"))
result


Python3
# Traverse the air quality
for item in (soup.find_all("div", class_="styles__aqiGraphNumber__2R6Y9")):
    res_data = item.get_text()
  
# traverse the content
data = ''
for item in (soup.find_all("div", class_="styles__primaryPollutantGraphNumber__2WgP9")):
    data += item.get_text()
    data += " "
air_data = data.split(" ")
print("Air Quality :", res_data)
print("O3 level :", air_data[0])
print("NO2 level :", air_data[1])
print("SO2 level :", air_data[2])
print("PM2.5 level :", air_data[3])
print("PM10 level :", air_data[4])
print("co level :", air_data[5])


Python3
res = int(res_data)
  
if res <= 50:
    remark = "Good"
    impact = "Minimal impact"
      
elif res <= 100 and res > 51:
    remark = "Satisfactory"
    impact = "Minor breathing discomfort to sensitive people"
      
elif res <= 200 and res >= 101:
    remark = "Moderate"
    impact = "Breathing discomfort to the people with lungs, asthma and heart diseases"
      
elif res <= 400 and res >= 201:
    remark = "Very Poor"
    impact = "Breathing discomfort to most people on prolonged exposure"
      
elif res <= 500 and res >= 401:
    remark = "Severe"
    impact = "Affects healthy people and seriously impacts those with existing diseases"
      
print(remark)
print(impact)


Python3
# import modules
from tkinter import *
import requests
from bs4 import BeautifulSoup
  
  
# link for extract html data
  
def getdata(url):
    r = requests.get(url)
    return r.text
  
  
def airinfo():
    htmldata = getdata(
        "https://weather.com/en-IN/forecast/air-quality/l/3dbed5c769584b3604a70d40a1a0a9f6ebc99c253d955b548f4978ca101eeca1")
    soup = BeautifulSoup(htmldata, 'html.parser')
     
    # Traverse the air quality
    for item in (soup.find_all("div",
                               class_="styles__aqiGraphNumber__2R6Y9")):
        res_data = item.get_text()
  
        # traverse the content
    data = ''
    for item in (soup.find_all("div", 
                               class_="styles__primaryPollutantGraphNumber__2WgP9")):
        data += item.get_text()
        data += " "
      
    air_data = data.split(" ")
      
    ar.set(res_data)
    o3.set(air_data[0])
    no2.set(air_data[1])
    so2.set(air_data[2])
    pm.set(air_data[3])
    pml.set(air_data[4])
    co.set(air_data[5])
    res = int(res_data)
    if res <= 50:
        remark = "Good"
        impact = "Minimal impact"
    elif res <= 100 and res > 51:
        remark = "Satisfactory"
        impact = "Minor breathing discomfort to sensitive people"
    elif res <= 200 and res >= 101:
        remark = "Moderate"
        impact = "Breathing discomfort to the people with lungs, asthma and heart diseases"
    elif res <= 400 and res >= 201:
        remark = "Very Poor"
        impact = "Breathing discomfort to most people on prolonged exposure"
    elif res <= 500 and res >= 401:
        remark = "Severe"
        impact = "Affects healthy people and seriously impacts those with existing diseases"
    res_remark.set(remark)
    res_imp.set(impact)
  
  
# object of tkinter
# and background set to grey
master = Tk()
master.configure(bg='light grey')
  
# Variable Classes in tkinter
air_data = StringVar()
ar = StringVar()
o3 = StringVar()
no2 = StringVar()
so2 = StringVar()
pm = StringVar()
pml = StringVar()
co = StringVar()
res_remark = StringVar()
res_imp = StringVar()
  
  
# Creating label for each information
# name using widget Label
Label(master, text="Air Quality : ",
      bg="light grey").grid(row=0, sticky=W)
Label(master, text="O3 (μg/m3) :", 
      bg="light grey").grid(row=1, sticky=W)
Label(master, text="NO2 (μg/m3) :", 
      bg="light grey").grid(row=2, sticky=W)
Label(master, text="SO2 (μg/m3) :", 
      bg="light grey").grid(row=3, sticky=W)
Label(master, text="PM2.5 (μg/m3) :", 
      bg="light grey").grid(row=4, sticky=W)
Label(master, text="PM10 (μg/m3) :",
      bg="light grey").grid(row=5, sticky=W)
Label(master, text="CO (μg/m3) :", 
      bg="light grey").grid(row=6, sticky=W)
  
Label(master, text="Remark :", 
      bg="light grey").grid(row=7, sticky=W)
Label(master, text="Possible Health Impacts :",
      bg="light grey").grid(row=8, sticky=W)
  
  
# Creating lebel for class variable
# name using widget Entry
Label(master, text="", textvariable=ar,
      bg="light grey").grid(
    row=0, column=1, sticky=W)
Label(master, text="", textvariable=o3, 
      bg="light grey").grid(
    row=1, column=1, sticky=W)
Label(master, text="", textvariable=no2,
      bg="light grey").grid(
    row=2, column=1, sticky=W)
Label(master, text="", textvariable=so2,
      bg="light grey").grid(
    row=3, column=1, sticky=W)
Label(master, text="", textvariable=pm, 
      bg="light grey").grid(
    row=4, column=1, sticky=W)
Label(master, text="", textvariable=pml, 
      bg="light grey").grid(
    row=5, column=1, sticky=W)
Label(master, text="", textvariable=co, 
      bg="light grey").grid(
    row=6, column=1, sticky=W)
Label(master, text="", textvariable=res_remark,
      bg="light grey").grid(row=7, column=1, sticky=W)
Label(master, text="", textvariable=res_imp,
      bg="light grey").grid(row=8, column=1, sticky=W)
  
  
# creating a button using the widget
b = Button(master, text="Check", 
           command=airinfo, bg="Blue")
b.grid(row=0, column=2, columnspan=2,
       rowspan=2, padx=5, pady=5,)
  
mainloop()


第 2 步:创建 URL 获取函数

蟒蛇3

# link to extract html data
      
def getdata(url):
    r=requests.get(url)
    return r.text

第 3 步:现在将 URL 传递到 getdata函数并将该数据转换为 HTML 代码。这里使用的 URL 是“https://weather.com/en-IN/forecast/air-quality/l/3dbed5c769584b3604a70d40a1a0a9f6ebc99c253d955b548f4978ca101eeca1”

蟒蛇3

htmldata = getdata(# write the URL )
soup = BeautifulSoup(htmldata, 'html.parser')
result = (soup.find_all("div", class_="styles__primaryPollutantGraphNumber__2WgP9"))
result

输出:

第 4 步:根据给定的数据过滤您的数据并检查您的空气质量:

蟒蛇3

# Traverse the air quality
for item in (soup.find_all("div", class_="styles__aqiGraphNumber__2R6Y9")):
    res_data = item.get_text()
  
# traverse the content
data = ''
for item in (soup.find_all("div", class_="styles__primaryPollutantGraphNumber__2WgP9")):
    data += item.get_text()
    data += " "
air_data = data.split(" ")
print("Air Quality :", res_data)
print("O3 level :", air_data[0])
print("NO2 level :", air_data[1])
print("SO2 level :", air_data[2])
print("PM2.5 level :", air_data[3])
print("PM10 level :", air_data[4])
print("co level :", air_data[5])

输出:

Air Quality : 85
O3 level : 67
NO2 level : 22
SO2 level : 13
PM2.5 level : 30
PM10 level : 45
co level : 479

第 5 步:现在使用给定的数据分析空气质量:

蟒蛇3

res = int(res_data)
  
if res <= 50:
    remark = "Good"
    impact = "Minimal impact"
      
elif res <= 100 and res > 51:
    remark = "Satisfactory"
    impact = "Minor breathing discomfort to sensitive people"
      
elif res <= 200 and res >= 101:
    remark = "Moderate"
    impact = "Breathing discomfort to the people with lungs, asthma and heart diseases"
      
elif res <= 400 and res >= 201:
    remark = "Very Poor"
    impact = "Breathing discomfort to most people on prolonged exposure"
      
elif res <= 500 and res >= 401:
    remark = "Severe"
    impact = "Affects healthy people and seriously impacts those with existing diseases"
      
print(remark)
print(impact)

输出:

Satisfactory
Minor breathing discomfort to sensitive people

使用 Tkinter 获取实时空气质量信息的应用程序:此脚本将上述实现实现到 GUI 中。

蟒蛇3

# import modules
from tkinter import *
import requests
from bs4 import BeautifulSoup
  
  
# link for extract html data
  
def getdata(url):
    r = requests.get(url)
    return r.text
  
  
def airinfo():
    htmldata = getdata(
        "https://weather.com/en-IN/forecast/air-quality/l/3dbed5c769584b3604a70d40a1a0a9f6ebc99c253d955b548f4978ca101eeca1")
    soup = BeautifulSoup(htmldata, 'html.parser')
     
    # Traverse the air quality
    for item in (soup.find_all("div",
                               class_="styles__aqiGraphNumber__2R6Y9")):
        res_data = item.get_text()
  
        # traverse the content
    data = ''
    for item in (soup.find_all("div", 
                               class_="styles__primaryPollutantGraphNumber__2WgP9")):
        data += item.get_text()
        data += " "
      
    air_data = data.split(" ")
      
    ar.set(res_data)
    o3.set(air_data[0])
    no2.set(air_data[1])
    so2.set(air_data[2])
    pm.set(air_data[3])
    pml.set(air_data[4])
    co.set(air_data[5])
    res = int(res_data)
    if res <= 50:
        remark = "Good"
        impact = "Minimal impact"
    elif res <= 100 and res > 51:
        remark = "Satisfactory"
        impact = "Minor breathing discomfort to sensitive people"
    elif res <= 200 and res >= 101:
        remark = "Moderate"
        impact = "Breathing discomfort to the people with lungs, asthma and heart diseases"
    elif res <= 400 and res >= 201:
        remark = "Very Poor"
        impact = "Breathing discomfort to most people on prolonged exposure"
    elif res <= 500 and res >= 401:
        remark = "Severe"
        impact = "Affects healthy people and seriously impacts those with existing diseases"
    res_remark.set(remark)
    res_imp.set(impact)
  
  
# object of tkinter
# and background set to grey
master = Tk()
master.configure(bg='light grey')
  
# Variable Classes in tkinter
air_data = StringVar()
ar = StringVar()
o3 = StringVar()
no2 = StringVar()
so2 = StringVar()
pm = StringVar()
pml = StringVar()
co = StringVar()
res_remark = StringVar()
res_imp = StringVar()
  
  
# Creating label for each information
# name using widget Label
Label(master, text="Air Quality : ",
      bg="light grey").grid(row=0, sticky=W)
Label(master, text="O3 (μg/m3) :", 
      bg="light grey").grid(row=1, sticky=W)
Label(master, text="NO2 (μg/m3) :", 
      bg="light grey").grid(row=2, sticky=W)
Label(master, text="SO2 (μg/m3) :", 
      bg="light grey").grid(row=3, sticky=W)
Label(master, text="PM2.5 (μg/m3) :", 
      bg="light grey").grid(row=4, sticky=W)
Label(master, text="PM10 (μg/m3) :",
      bg="light grey").grid(row=5, sticky=W)
Label(master, text="CO (μg/m3) :", 
      bg="light grey").grid(row=6, sticky=W)
  
Label(master, text="Remark :", 
      bg="light grey").grid(row=7, sticky=W)
Label(master, text="Possible Health Impacts :",
      bg="light grey").grid(row=8, sticky=W)
  
  
# Creating lebel for class variable
# name using widget Entry
Label(master, text="", textvariable=ar,
      bg="light grey").grid(
    row=0, column=1, sticky=W)
Label(master, text="", textvariable=o3, 
      bg="light grey").grid(
    row=1, column=1, sticky=W)
Label(master, text="", textvariable=no2,
      bg="light grey").grid(
    row=2, column=1, sticky=W)
Label(master, text="", textvariable=so2,
      bg="light grey").grid(
    row=3, column=1, sticky=W)
Label(master, text="", textvariable=pm, 
      bg="light grey").grid(
    row=4, column=1, sticky=W)
Label(master, text="", textvariable=pml, 
      bg="light grey").grid(
    row=5, column=1, sticky=W)
Label(master, text="", textvariable=co, 
      bg="light grey").grid(
    row=6, column=1, sticky=W)
Label(master, text="", textvariable=res_remark,
      bg="light grey").grid(row=7, column=1, sticky=W)
Label(master, text="", textvariable=res_imp,
      bg="light grey").grid(row=8, column=1, sticky=W)
  
  
# creating a button using the widget
b = Button(master, text="Check", 
           command=airinfo, bg="Blue")
b.grid(row=0, column=2, columnspan=2,
       rowspan=2, padx=5, pady=5,)
  
mainloop()

输出: