Numpy Array to LineBuffer

Developing Coder

I'm doing some math in an indicator and in the process LineBuffer is converted into a Numpy ndarray. Is it possible to convert back?

Example:

log_hl = np.log(self.datas[0].high / self.datas[0].low)

backtrader

As one of the goals of backtrader is to NOT depend on external packages, there is neither a

@developing-coder said in Numpy Array to LineBuffer:

LineBuffer is converted into a Numpy ndarray

nor

@developing-coder said in Numpy Array to LineBuffer:

Is it possible to convert back?

You have gotten a standard Python list from from of the lines and used to create a ndarray.

In any case there is no need to do neither a nor b. Use ApplyN and use the function of your choosing (apparently log) - Docs - Indicator Reference

adamb032

im not particularly sure that it matters, but there is a workaround:

inside your indicator class

from copy import deepcopy

some_data_linebuff = deepcopy(self.data.close)
my_new_array = [.....] #same len as self.data.close
for idx in range(len(my_new_array)):
     some_data_linebuff.set(my_new_array[idx], ago=idx)

self.lines.new_line = some_data_linebuff

basically whats happening is you make a copy of a linebuffer object, with all the dates already determined, and then reassign all the values for your array into it. presto chango.