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Commit e91c8cd

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Merge pull request avinashkranjan#943 from Ayushjain2205/NSE-stocks-GUI
Nse stocks GUI
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‎NSE Stocks GUI/README.md

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# NSE Stock Data
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Running this Script would allow the user to go through NSE Stock data scraped from [NSE Website](https://www.nseindia.com), based on their choice of available categories.
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## Setup instructions
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In order to run this script, you need to have Python and pip installed on your system. After you're done installing Python and pip, run the following command from your terminal to install the requirements from the same folder (directory) of the project.
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```
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pip install -r requirements.txt
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```
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As this script uses selenium, you will need to install the chrome webdriver from [this link](https://sites.google.com/a/chromium.org/chromedriver/downloads)
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After satisfying all the requirements for the project, Open the terminal in the project folder and run
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```
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python stocks.py
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```
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or
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```
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python3 stocks.py
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```
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depending upon the python version. Make sure that you are running the command from the same virtual environment in which the required modules are installed.
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## Output
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The user can select different categories from the GUI as shown in the sample screen shot below
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![Screenshot of the GUI](https://i.postimg.cc/FRnNzQMP/nse.png)
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## Author
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[Ayush Jain](https://github.com/Ayushjain2205)

‎NSE Stocks GUI/requirements.txt

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requests
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beautifulsoup4
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selenium

‎NSE Stocks GUI/stocks.py

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import requests
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from bs4 import BeautifulSoup
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import tkinter as tk
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from tkinter import ttk
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from tkinter import font as tkFont
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from selenium import webdriver
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from selenium.webdriver.common.keys import Keys
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import time
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driver_path = input('Enter path for chromedriver: ')
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# Categories and their URL slugs
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most_active = {'Most Active equities - Main Board':'mae_mainboard_tableC','Most Active equities - SME':'mae_sme_tableC','Most Active equities - ETFs':'mae_etf_tableC',
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'Most Active equities - Price Spurts':'mae_pricespurts_tableC', 'Most Active equities - Volume Spurts':'mae_volumespurts_tableC'}
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top_20 = {'NIFTY 50 Top 20 Gainers':'topgainer-Table','NIFTY 50 Top 20 Losers':'toplosers-Table'}
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# Function to generate request url based on user choice
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def generate_url():
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category_choice = category.get()
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if(category_choice in most_active):
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page = 'most-active-equities'
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else:
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page = 'top-gainers-loosers'
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url = 'https://www.nseindia.com/market-data/{}'.format(page)
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return url
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# Function to scrape stock data from generated URL
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def scraper():
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url = generate_url()
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driver = webdriver.Chrome(driver_path)
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driver.get(url)
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# Wait for results to load
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time.sleep(5)
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html = driver.page_source
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# Start scraping resultant html data
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soup = BeautifulSoup(html, 'html.parser')
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# Based on choice scrape div
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category_choice = category.get()
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if category_choice in most_active :
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category_div = most_active[category_choice]
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else :
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category_div = top_20[category_choice]
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# Find the table to scrape
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results = soup.find("table", {"id": category_div})
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rows = results.findChildren('tr')
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table_data = []
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row_values = []
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# Append stock data into a list
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for row in rows:
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cells = row.findChildren(['th', 'td'])
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for cell in cells:
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value = cell.text.strip()
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value = " ".join(value.split())
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row_values.append(value)
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table_data.append(row_values)
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row_values = []
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# Formatting the stock data stored in the list
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stocks_data = ""
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for stock in table_data:
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single_record = ""
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for cell in stock:
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format_cell = "{:<20}"
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single_record += format_cell.format(cell[:20])
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single_record += "\n"
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stocks_data += single_record
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# Adding the formatted data into tkinter GUI
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query_label.config(state=tk.NORMAL)
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query_label.delete(1.0,"end")
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query_label.insert(1.0,stocks_data)
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query_label.config(state=tk.DISABLED)
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driver.close()
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# Creating tkinter window
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window = tk.Tk()
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window.title('NSE Stock data')
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window.geometry('1200x1000')
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window.configure(bg='white')
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style = ttk.Style()
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style.configure('my.TButton', font=('Helvetica', 16))
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style.configure('my.TFrame', background='white')
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# label text for title
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ttk.Label(window, text="NSE Stock market data",
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background='white', foreground="SpringGreen2",
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font=("Helvetica", 30, 'bold')).grid(row=0, column=1)
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# label
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ttk.Label(window, text="Select Market data to get:", background = 'white',
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font=("Helvetica", 15)).grid(column=0,
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row=5, padx=10, pady=25)
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# Combobox creation
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category = ttk.Combobox(
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window, width=60, state='readonly',font="Helvetica 15")
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submit_btn = ttk.Button(window, text="Get Stock Data!", style='my.TButton', command = scraper)
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# Adding combobox drop down list
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category['values'] = ('Most Active equities - Main Board','Most Active equities - SME','Most Active equities - ETFs','Most Active equities - Price Spurts',
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'Most Active equities - Volume Spurts','NIFTY 50 Top 20 Gainers','NIFTY 50 Top 20 Losers')
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category.grid(column=1, row=5, padx=10)
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category.current(0)
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submit_btn.grid(row=5, column=3, pady=5, padx=15, ipadx=5)
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frame = ttk.Frame(window, style='my.TFrame')
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frame.place(relx=0.50, rely=0.12, relwidth=0.98, relheight=0.90, anchor="n")
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# To display stock data
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query_label = tk.Text(frame ,height="52" ,width="500", bg="alice blue")
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query_label.grid(row=7, columnspan=2)
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window.mainloop()

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