new box is added to the renko chart

[mooldacc]

How to know when the new box is added to the renko chart since the plot function doesn't return any value
I found out the way to save the plot to a file then compare the old photo with the new one
Is there any other way to know about new added boxes to the renko chart
I am creating real time renko chart and I need some help from you guys , thanks in advance.

[DanielGoldfarb]

When you call mpf.plot() you can use kwarg return_calculated_values to get the list of renko bricks.

You must pass an empty dictionary as the return_calculated_values value. This dictionary will bill filled with the calculated values. Here is an example:

import pandas as pd
import mplfinance as mpf
from pprint import pprint

df = pd.read_csv('examples/data/yahoofinance-SPY-20200901-20210113.csv',index_col=0,parse_dates=True)
cv = {}
mpf.plot(df,type='renko',return_calculated_values=cv)
pprint(cv)

Output from pprint:

{'maxx': 27.964285714285715,
 'maxy': 382.01501500000006,
 'minx': -0.9642857142857143,
 'miny': 327.3871411428571,
 'renko_bricks': [356.80215014285716,
                  352.600006,
                  348.39786185714286,
                  344.1957177142857,
                  339.99357357142856,
                  335.7914294285714,
                  331.58928528571425,
                  327.3871411428571,
                  331.58928528571425,
                  335.7914294285714,
                  339.99357357142856,
                  344.1957177142857,
                  348.39786185714286,
                  344.1957177142857,
                  339.99357357142856,
                  335.7914294285714,
                  331.58928528571425,
                  335.7914294285714,
                  339.99357357142856,
                  344.1957177142857,
                  348.39786185714286,
                  352.600006,
                  356.80215014285716,
                  361.0042942857143,
                  365.20643842857146,
                  369.4085825714286,
                  373.61072671428576,
                  377.8128708571429],
 'renko_dates': [datetime.datetime(2020, 9, 1, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 2, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 3, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 4, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 4, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 17, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 18, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 22, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 25, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 9, 30, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 10, 6, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 10, 8, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 10, 9, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 10, 23, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 10, 27, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 10, 27, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 10, 27, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 2, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 3, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 4, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 4, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 6, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 12, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 13, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 11, 30, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 12, 3, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2020, 12, 30, 0, 0, tzinfo=datetime.timezone.utc),
                 datetime.datetime(2021, 1, 6, 0, 0, tzinfo=datetime.timezone.utc)],
 'renko_size': 4.202144142857151,
 'renko_volumes': None}