How to use the yfinance.utils.get_json function in yfinance

df.index = utils.camel2title(df.index)
            return df

        # setup proxy in requests format
        if proxy is not None:
            if isinstance(proxy, dict) and "https" in proxy:
                proxy = proxy["https"]
            proxy = {"https": proxy}

        if self._fundamentals:
            return

        # get info and sustainability
        url = '%s/%s' % (self._scrape_url, self.ticker)
        data = utils.get_json(url, proxy)

        # holders
        url = "{}/{}/holders".format(self._scrape_url, self.ticker)
        holders = _pd.read_html(url)
        self._major_holders = holders[0]
        self._institutional_holders = holders[1]
        if 'Date Reported' in self._institutional_holders:
            self._institutional_holders['Date Reported'] = _pd.to_datetime(
                self._institutional_holders['Date Reported'])
        if '% Out' in self._institutional_holders:
            self._institutional_holders['% Out'] = self._institutional_holders[
                '% Out'].str.replace('%', '').astype(float)/100

        # sustainability
        d = {}
        if isinstance(data.get('esgScores'), dict):

# 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:
            pass

        # get fundamentals
        data = utils.get_json(url+'/financials', proxy)

        # generic patterns
        for key in (
            (self._cashflow, 'cashflowStatement', 'cashflowStatements'),
            (self._balancesheet, 'balanceSheet', 'balanceSheetStatements'),
            (self._financials, 'incomeStatement', 'incomeStatementHistory')
        ):

            item = key[1] + 'History'
            if isinstance(data.get(item), dict):
                key[0]['yearly'] = cleanup(data[item][key[2]])

            item = key[1]+'HistoryQuarterly'
            if isinstance(data.get(item), dict):
                key[0]['quarterly'] = cleanup(data[item][key[2]])