Access to mplfinance Calculated Values

Sometimes you may want to see or use values that mplfinance calculated internally. This is particularly helpful to gain access to Renko and/or Point-and-Figure data. But other values (such as moving averages, minimums and maximums) are also returned.

To gain access to calculated values, you must set a variable equal to an empty dictionary. Then pass this variable as the value of **kwarg return_calculated_values. Mplfinance will fill the empty dictionary with various calculated values. Here is an example:

---

import pandas as pd
import mplfinance as mpf
import pprint

daily = pd.read_csv('data/SPY_20110701_20120630_Bollinger.csv',index_col=0,parse_dates=True)

renko_kwargs = dict(type='renko',mav=(8,20,30), volume=True,figratio=(10,8),figscale=0.75)
cv = {}
mpf.plot(daily,**renko_kwargs,style='blueskies',return_calculated_values=cv)

pp = pprint.PrettyPrinter(indent=4)
pp.pprint(cv)