get_fundamental_price_data_function.py

def formatFundamentals(ticker, dropna=False):
    """
    Formats the given ticker's fundamental and price data. Cleans up the data by dropping
    any empty/nan values if requested.
    """
    
    # Getting fundamental data
    fund_data = getFundamentals(ticker)
    
    # Getting accompanying price data
    df = getPrices(fund_data, ticker)
    
    # Dropping if all items are na in respective row
    df = df.dropna(how='all')
    
    if dropna:
        # Dropping mostly nan columns and rows if requested
        df = df.dropna(
            axis=0,
            thresh=round(df.shape[0]*.5) # If 50% of the values in the row are Nans, drop the whole row
        ).dropna(
            axis=1,
            thresh=round(df.shape[1]*.5) # If 50% of the values in the columns are Nans, drop the whole column
        )
    
    return df