def test_get_financial_comparisons(quarter, timeframe, recorder): result_df = marketwatch_model.get_financial_comparisons( all_stocks=["TSLA", "GM"], data="income", timeframe=timeframe, quarter=quarter, ) recorder.capture(result_df)
def display_cashflow_comparison( ticker: str, similar: List[str], timeframe: str, quarter: bool = False, export: str = "", ): """Compare cashflow between companies Parameters ---------- ticker : str Main ticker to compare income similar : List[str] Similar companies to compare income with timeframe : str Whether to use quarterly or annual quarter : bool, optional Whether to use quarterly statements, by default False export : str, optional Format to export data """ all_stocks = [ticker, *similar] df_financials_compared = marketwatch_model.get_financial_comparisons( all_stocks, "cashflow", timeframe, quarter) # Export data before the color export_data( export, os.path.dirname(os.path.abspath(__file__)), "cashflow", df_financials_compared, ) if gtff.USE_COLOR: df_financials_compared = df_financials_compared.applymap( financials_colored_values) patch_pandas_text_adjustment() if not quarter: df_financials_compared.index.name = timeframe if gtff.USE_TABULATE_DF: print( tabulate( df_financials_compared, headers=df_financials_compared.columns, showindex=True, tablefmt="fancy_grid", ), "\n", ) else: print(df_financials_compared.to_string(), "\n")
def display_cashflow_comparison( similar: List[str], timeframe: str, quarter: bool = False, export: str = "", ): """Compare cashflow between companies. [Source: Marketwatch] Parameters ---------- ticker : str Main ticker to compare income similar : List[str] Similar companies to compare income with timeframe : str Whether to use quarterly or annual quarter : bool, optional Whether to use quarterly statements, by default False export : str, optional Format to export data """ df_financials_compared = marketwatch_model.get_financial_comparisons( similar, "cashflow", timeframe, quarter ) # Export data before the color export_data( export, os.path.dirname(os.path.abspath(__file__)), "cashflow", df_financials_compared, ) if rich_config.USE_COLOR: df_financials_compared = df_financials_compared.applymap( lambda_financials_colored_values ) patch_pandas_text_adjustment() if not quarter: df_financials_compared.index.name = timeframe print_rich_table( df_financials_compared, headers=list(df_financials_compared.columns), show_index=True, title="Cashflow Comparison", ) console.print("")
def display_income_comparison( similar: List[str], timeframe: str, quarter: bool = False, export: str = "", ): """Display income data. [Source: Marketwatch] Parameters ---------- similar : List[str] List of tickers to compare timeframe : str Whether to use quarterly or annual quarter : bool, optional Whether to use quarterly statements, by default False export : str, optional Format to export data """ df_financials_compared = marketwatch_model.get_financial_comparisons( similar, "income", timeframe, quarter) # Export data before the color export_data( export, os.path.dirname(os.path.abspath(__file__)), "income", df_financials_compared, ) if gtff.USE_COLOR: df_financials_compared = df_financials_compared.applymap( financials_colored_values) patch_pandas_text_adjustment() if not quarter: df_financials_compared.index.name = timeframe if gtff.USE_TABULATE_DF: print( tabulate( df_financials_compared, headers=df_financials_compared.columns, showindex=True, tablefmt="fancy_grid", ), "\n", ) else: print(df_financials_compared.to_string(), "\n")