LinePlotterIndicator: plot y-axis in log scale

jf

Dear Community,

I succeeded in plotting a custom-built indicator with bt.LinePlotterIndicator, but I just couldn't figure out how to convert the y-axis to log-scale.

This is my first attempt:

signalplotter = bt.LinePlotterIndicator(self.inds['signal1'], plotlog=True)

And I also tried:

signalplotter = bt.LinePlotterIndicator(self.inds['signal1'])
signalplotter.plotinfo.plotlog = True

... but this also did not work.

It would be fantastic if someone could point me into the right direction!

Thanks a lot,
J

ab_trader

i think plotlog should be set on the indicator level, not for LinePLotterIndicator.

Docs - Plotting - Object-wide plotting options

jf

@ab_trader Thanks for your quick reply, this is highly appreciated!

I tried to do this, but it did not work. I guess the issue is that the indicator that I plan to plot is not a plain-vanilla indicator, but rather an indicator that I divided by a value.

import numpy as np

... (blabla)...

self.inds['signal1'] = self.inds['signalA']/np.log(23) #just taking 23 to make things understandable, this is not what I am actually doing :-)...
self.inds['signal1'].plotinfo.plotlog = True
signalplotter = bt.LinePlotterIndicator(self.inds['signal1'])

Without the "self.inds['signal1'].plotinfo.plotlog = True" the line is plotted nicely, just not in log scale. When I add the ".plotinfo.plotlog" then I receive the following Error:

AttributeError: 'LinesOperation' object has no attribute 'plotinfo'

I also tried to define the logplot for "self.inds['signalA']". While I don't get an error message there (which makes sense because it is an indicator and not a "LinesOperation"), the information seems to get lost on the way down to the LinePlotterIndicator...

Would be amazing if you have an idea how to solve this puzzle :-)!

Best,
J

ab_trader

Based on one old comment from the 'bt' author (search forum for 'lineplotterindicator') 'lineplotterindicator' was made to quickly show a line. So you may need to make an indicator from 'self.inds['signal1']' to be able to customize it's plotting.