1 year ago
#382866
teralee
Backtrder animated plotting
Im looking for a way to animate backtest plotting of the Backtrder. I searched for appropriate tools and I found FuncAnimation
:
FuncAnimation(figure, animation_function, frames=None, init_func=None, fargs=None, save_count=None, *, cache_frame_data=True, **kwargs)
My problem is how to set its first 2 inputs in the plot
method of the cerebro
class:
def plot(self, plotter=None, numfigs=1, iplot=True, start=None, end=None,
width=16, height=9, dpi=300, tight=True, use=None,
**kwargs):
'''
Plots the strategies inside cerebro
If ``plotter`` is None a default ``Plot`` instance is created and
``kwargs`` are passed to it during instantiation.
``numfigs`` split the plot in the indicated number of charts reducing
chart density if wished
``iplot``: if ``True`` and running in a ``notebook`` the charts will be
displayed inline
``use``: set it to the name of the desired matplotlib backend. It will
take precedence over ``iplot``
``start``: An index to the datetime line array of the strategy or a
``datetime.date``, ``datetime.datetime`` instance indicating the start
of the plot
``end``: An index to the datetime line array of the strategy or a
``datetime.date``, ``datetime.datetime`` instance indicating the end
of the plot
``width``: in inches of the saved figure
``height``: in inches of the saved figure
``dpi``: quality in dots per inches of the saved figure
``tight``: only save actual content and not the frame of the figure
'''
if self._exactbars > 0:
return
if not plotter:
from . import plot
if self.p.oldsync:
plotter = plot.Plot_OldSync(**kwargs)
else:
plotter = plot.Plot(**kwargs)
# pfillers = {self.datas[i]: self._plotfillers[i]
# for i, x in enumerate(self._plotfillers)}
# pfillers2 = {self.datas[i]: self._plotfillers2[i]
# for i, x in enumerate(self._plotfillers2)}
figs = []
for stratlist in self.runstrats:
for si, strat in enumerate(stratlist):
rfig = plotter.plot(strat, figid=si * 100,
numfigs=numfigs, iplot=iplot,
start=start, end=end, use=use)
# pfillers=pfillers2)
figs.append(rfig)
plotter.show()
return figs
Thanks in advance
python
algorithmic-trading
matplotlib-animation
backtrader
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