We are living in a modernization and industrialization era. Our life becomes more and more convenient. But the problem is Air Pollution arise with time. This Pollution makes us unhealthy, Air is a Lifeline for our life.
In this article, we are going to write python scripts to get live air quality information and bind it with GUI Application.
Modules Needed
- bs4: Beautiful Soup(bs4) is a Python library for pulling data out of HTML and XML files. To install this type the command below in the terminal.
pip install bs4
- requests: This allows you to send HTTP/1.1 requests very easily. To install this type the command below in the terminal.
pip install requests
Approach:
- Extract data form given URL. Copy the URL, after selecting the desired location.
- Scrape the data with the help of requests and Beautiful Soup module.
- Convert that data into HTML code.
- Find the required details and filter them.
Implementation:
Step 1: Import all the modules required
Python3
# import moduleimport requestsfrom bs4 import BeautifulSoup |
Step 2: Create a URL get function
Python3
# link to extract html data def getdata(url): r=requests.get(url) return r.text |
Step 3: Now pass the URL into the getdata function and convert that data into HTML code. The URL used here is “https://weather.com/en-IN/forecast/air-quality/l/3dbed5c769584b3604a70d40a1a0a9f6ebc99c253d955b548f4978ca101eeca1”
Python3
htmldata = getdata(# write the URL )soup = BeautifulSoup(htmldata, 'html.parser')result = soup.find_all(class_="DonutChart--innerValue--2rO41 AirQuality--pollutantDialText--3Y7DJ")result |
Output:
[<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>67</div>,
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>22</div>,
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>13</div>,
<div class=”styles_N_primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>30</div>,
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>45</div>,
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>479</div>]
Step 4: Filter your data and Check your Air Quality according to the given data :
Python3
# Traverse the air qualityres_quality = soup.find(class_="DonutChart--innerValue--2rO41 AirQuality--extendedDialText--2AsJa").text# traverse the contentair_data = soup.find_all(class_="DonutChart--innerValue--2rO41 AirQuality--pollutantDialText--3Y7DJ")air_data=[data.text for data in air_data]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]) |
Output:
Air Quality : 85 O3 level : 67 NO2 level : 22 SO2 level : 13 PM2.5 level : 30 PM10 level : 45 co level : 479
Step 5: Now Analyze the Air Quality with the given data:
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) |
Output:
Satisfactory Minor breathing discomfort to sensitive people
Application for the live Air Quality information with Tkinter: This Script implements the above Implementation into a GUI.
Python3
from tkinter import *import requestsfrom bs4 import BeautifulSoup# link for extract html datadef getdata(url): r = requests.get(url) return r.textdef airinfo(): htmldata = getdata("https://weather.com/en-IN/forecast/air-quality/l/3dbed5c769584b3604a70d40a1a0a9f6ebc99c253d955b548f4978ca101eeca1") soup = BeautifulSoup(htmldata, 'html.parser') res_data = soup.find(class_="DonutChart--innerValue--2rO41 AirQuality--extendedDialText--2AsJa").text air_data = soup.find_all(class_="DonutChart--innerValue--2rO41 AirQuality--pollutantDialText--3Y7DJ") air_data=[data.text for data in air_data] 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 greymaster = Tk()master.configure(bg='light grey')# Variable Classes in tkinterair_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 LabelLabel(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 label for class variable# name using widget EntryLabel(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 widgetb = Button(master, text="Check", command=airinfo, bg="Blue")b.grid(row=0, column=2, columnspan=2, rowspan=2, padx=5, pady=5,)mainloop() |
Output:
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