mesutcanalkan

def BRING_SEASONAL_PLAYER_STATS(URL_LINK):

    driver = webdriver.Chrome(ChromeDriverManager().install())
    
    # Open the URL on a google chrome window
    driver.get(URL_LINK)
    
    # As this is a dynamic html web-page, wait for 3 seconds for everything to be loaded
    time.sleep(3)
    

mesutcanalkan

# !pip install webdriver-manager
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
import time
import pandas as pd

from bs4 import BeautifulSoup
from urllib.request import Request, urlopen
import re

mesutcanalkan

df_CSV_Files = pd.DataFrame([x.split('_') for x in 
                                  
                                  glob.glob('Data/'+ 'ninja_pv_coordinate_*.csv')],
                                 
    columns=['NINJA', 'RENEWABLE', 'TYPE', 'YEAR', 'LATITUDE', 'LONGITUDE', 'SYSTEM_LOSS', 
             'TRACKING', 'TILT_DEGREE', 'AZIMUTH_DEGREE', 'EXTENSION']).astype(str)


df_CSV_Files['CF'] = pd.Series([pd.read_csv(x)['CF'].mean() for x in 
                                     glob.glob('Data/'+ 'ninja_pv_coordinate_*.csv')])

mesutcanalkan

TRACKING_OPTIONS_LIST = [0, 1, 2]

TILT_DEGREE_OPTIONS_LIST = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90]

AZIMUTH_DEGREE_OPTIONS_LIST = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180]

# Coordinates of the Chelsea and Westminster Hospital
LATITUDE = 51.48437
LONGITUDE = -0.18183
YEAR = 2017

mesutcanalkan

def loading_generation_profile_data_from_ninja(PARAMS, WEATHER_YEAR, CAPACITY_CAL):

    """for a selected parameter dictionary, weather year, and capacity volume, an hourly capacity factor data frame is calculated.
    in:  parameters
    out: dataframe
    """
    
    TOKEN_ORDER = 0

    TOKEN_LIST = LIST_OF_TOKENS