class_docstr: Displays charts from downloaded data, in a single line code call. Ideal for quickly generating charts from sources
  including Bloomberg, Quandl, ALFRED/FRED etc.
class_docstr_tok: ["Displays","charts","from","downloaded","data",",","in","a","single","line","code","call",".","Ideal","for","quickly","generating","charts","from","sources","including","Bloomberg",",","Quandl",",","ALFRED\/FRED","etc","."]
code: def __init__(
      self,
      engine="plotly",
      data_source="bloomberg",
      market_data_generator=MarketDataGenerator(),
  ):
      self._chart = Chart(engine=engine)
      self._market = Market(market_data_generator=market_data_generator)
      self._data_source = data_source
  
file_path: finmarketpy/finmarketpy/economics/quickchart.py
imports: from chartpy import Chart, Style, ChartConstants
  from findatapy.util.dataconstants import DataConstants
  from findatapy.market import Market, MarketDataRequest, MarketDataGenerator
  from findatapy.timeseries import Calculations, RetStats
  import datetime
  from datetime import timedelta
label_desc: Use image node_id 1 to create a new QuickChart object from inherited base classes: object with example: obj = QuickChart(engine, data_source, market_data_generator)