How to use the yfinance.utils function in yfinance

self._info['logo_url'] = ""
        try:
            domain = self._info['website'].split(
                '://')[1].split('/')[0].replace('www.', '')
            self._info['logo_url'] = 'https://logo.clearbit.com/%s' % domain
        except Exception:
            pass

        # events
        try:
            cal = _pd.DataFrame(
                data['calendarEvents']['earnings'])
            cal['earningsDate'] = _pd.to_datetime(
                cal['earningsDate'], unit='s')
            self._calendar = cal.T
            self._calendar.index = utils.camel2title(self._calendar.index)
            self._calendar.columns = ['Value']
        except Exception:
            pass

        # analyst recommendations
        try:
            rec = _pd.DataFrame(
                data['upgradeDowngradeHistory']['history'])
            rec['earningsDate'] = _pd.to_datetime(
                rec['epochGradeDate'], unit='s')
            rec.set_index('earningsDate', inplace=True)
            rec.index.name = 'Date'
            rec.columns = utils.camel2title(rec.columns)
            self._recommendations = rec[[
                'Firm', 'To Grade', 'From Grade', 'Action']].sort_index()
        except Exception:

self._base_url = 'https://query1.finance.yahoo.com'
        self._scrape_url = 'https://finance.yahoo.com/quote'

        self._fundamentals = False
        self._info = None
        self._sustainability = None
        self._recommendations = None
        self._major_holders = None
        self._institutional_holders = None
        self._isin = None

        self._calendar = None
        self._expirations = {}

        self._earnings = {
            "yearly": utils.empty_df(),
            "quarterly": utils.empty_df()}
        self._financials = {
            "yearly": utils.empty_df(),
            "quarterly": utils.empty_df()}
        self._balancesheet = {
            "yearly": utils.empty_df(),
            "quarterly": utils.empty_df()}
        self._cashflow = {
            "yearly": utils.empty_df(),
            "quarterly": utils.empty_df()}