page = requests.get(url)
soup = bs(page.content, 'html.parser')

# Get data from header
forecast_table = soup.find('table', attrs={'class': 'forecast__table forecast__table--js'})
days = forecast_table.find('tr', attrs={'data-row': 'days'}).find_all('td')

# Get rows from body
times = forecast_table.find('tr', attrs={'data-row': 'time'}).find_all('td')
winds = forecast_table.find('tr', attrs={'data-row': 'wind'}).find_all('img')  # Use "img" instead of "td" to get direction of wind
summaries = forecast_table.find('tr', attrs={'data-row': 'summary'}).find_all('td')
rains = forecast_table.find('tr', attrs={'data-row': 'rain'}).find_all('td')
snows = forecast_table.find('tr', attrs={'data-row': 'snow'}).find_all('td')
max_temps = forecast_table.find('tr', attrs={'data-row': 'max-temperature'}).find_all('td')
min_temps = forecast_table.find('tr', attrs={'data-row': 'min-temperature'}).find_all('td')
chills = forecast_table.find('tr', attrs={'data-row': 'chill'}).find_all('td')
freezings = forecast_table.find('tr', attrs={'data-row': 'freezing-level'}).find_all('td')
sunrises = forecast_table.find('tr', attrs={'data-row': 'sunrise'}).find_all('td')
sunsets = forecast_table.find('tr', attrs={'data-row': 'sunset'}).find_all('td')

# Iterate over days
for i, day in enumerate(days):
    current_day = clean(day.get_text())
    elevation = url.rsplit('/', 1)[-1]
    num_cols = int(day['data-columns'])

    if current_day != '':

        date = str(datetime.date(datetime.date.today().year, datetime.date.today().month, int(current_day.split(' ')[1])))  # Avoid using date format. Pandas adds 00:00:00 for some reason. Figure out better way to format

        # Iterate over forecast
        for j in range(i, i + num_cols):

            time_cell = clean(times[j].get_text())
            wind = clean(winds[j]['alt'])
            summary = clean(summaries[j].get_text())
            rain = clean(rains[j].get_text())
            snow = clean(snows[j].get_text())
            max_temp = clean(max_temps[j].get_text())
            min_temp = clean(min_temps[j].get_text())
            chill = clean(chills[j].get_text())
            freezing = clean(freezings[j].get_text())
            sunrise = clean(sunrises[j].get_text())
            sunset = clean(sunsets[j].get_text())

            rows.append(np.array([mountain_name, date, elevation, time_cell, wind, summary, rain, snow, max_temp, min_temp, chill, freezing, sunrise, sunset]))