class_docstr: This class implements all the api calls to times series
      
class_docstr_tok: ["This","class","implements","all","the","api","calls","to","times","series"]
docstr: Return monthly time series in two json objects as data and
  meta_data. It raises ValueError when problems arise
  
  Keyword Arguments:
      symbol:  the symbol for the equity we want to get its data
docstr_tok: ["Return","monthly","time","series","in","two","json","objects","as","data","and","meta_data",".","It","raises","ValueError","when","problems","arise","Keyword","Arguments",":","symbol",":","the","symbol","for","the","equity","we","want","to","get","its","data"]
code: def get_monthly_adjusted(self, symbol):
      """Return monthly time series in two json objects as data and
      meta_data. It raises ValueError when problems arise
  
      Keyword Arguments:
          symbol:  the symbol for the equity we want to get its data
  
      """
      _FUNCTION_KEY = "TIME_SERIES_MONTHLY_ADJUSTED"
      return _FUNCTION_KEY, "Monthly Adjusted Time Series", "Meta Data"
  
file_path: alpha_vantage/alpha_vantage/async_support/timeseries.py
imports: from .alphavantage import AlphaVantage
label_desc: Use image node_id 8 for calling the TimeSeries obj's underlying member method code with example usage: obj.get_monthly_adjusted(symbol) and returns: _FUNCTION_KEY,  str,  str