How to use the yfinance.utils.camel2title function in yfinance

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:
            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'

def cleanup(data):
            df = _pd.DataFrame(data).drop(columns=['maxAge'])
            for col in df.columns:
                df[col] = _np.where(
                    df[col].astype(str) == '-', _np.nan, df[col])

            df.set_index('endDate', inplace=True)
            try:
                df.index = _pd.to_datetime(df.index, unit='s')
            except ValueError:
                df.index = _pd.to_datetime(df.index)
            df = df.T
            df.columns.name = ''
            df.index.name = 'Breakdown'

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