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example.ipynb does not work

See original GitHub issue

Chart(df,
    # style: which mplfinance chart style to use. Added "random" as an option.
    # rpad: how many bars to leave empty on the right of the chart
    style="yahoo", title=ticker, last=recent_bars(df), rpad=10,
    
    # Overlap Indicators
    linreg=True, midpoint=False, ohlc4=False, archermas=True,
    
    # Example Indicators with default parameters
    volume=True, rsi=True, clr=True, macd=True, zscore=False, squeeze=False, lazybear=False,

    # Archer OBV and OBV MAs (https://www.tradingview.com/script/Co1ksara-Trade-Archer-On-balance-Volume-Moving-Averages-v1/)
    archerobv=False,

    # Create trends and see their returns
    trendreturn=False,
    # Example Trends or create your own. Trend must yield Booleans
    long_trend=ta.sma(closedf,10) > ta.sma(closedf,20), # trend: sma(close,10) > sma(close,20) [Default Example]
#     long_trend=closedf > ta.ema(closedf,5), # trend: close > ema(close,5)
#     long_trend=ta.sma(closedf,10) > ta.ema(closedf,50), # trend: sma(close,10) > ema(close,50)
#     long_trend=macdh > 0, # trend: macd hist > 0
#     long_trend=ta.increasing(ta.sma(ta.rsi(closedf), 10), 5, asint=False), # trend: rising sma(rsi, 10) for the previous 5 periods
    show_nontrading=False, # Intraday use if needed
    verbose=True, # More detail
)

output:

[i] Loaded SPY(5262, 62)
[+] Strategy: Common Price and Volume SMAs
[i] Indicator arguments: {'append': True}
[i] Multiprocessing: 16 of 16 cores.
[i] Total indicators: 5
[i] Columns added: 0
D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\cbook\__init__.py:1377: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.
  x[:, None]
D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axes\_base.py:239: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.
  y = y[:, np.newaxis]
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-44-f7c14830084c> in <module>
     26 #     long_trend=ta.increasing(ta.sma(ta.rsi(closedf), 10), 5, asint=False), # trend: rising sma(rsi, 10) for the previous 5 periods
     27     show_nontrading=False, # Intraday use if needed
---> 28     verbose=True, # More detail
     29 )

<ipython-input-35-df099406cc6a> in __init__(self, df, strategy, *args, **kwargs)
     20         # Build TA and Plot
     21         self.df.ta.strategy(self.strategy, verbose=self.verbose)
---> 22         self._plot(**kwargs)
     23 
     24     def _validate_ta_strategy(self, strategy):

<ipython-input-35-df099406cc6a> in _plot(self, **kwargs)
    340             show_nontrading=self.mpfchart["non_trading"],
    341             vlines=vlines_,
--> 342             addplot=taplots
    343         )
    344 

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\mplfinance\plotting.py in plot(data, **kwargs)
    610 
    611     if config['volume']:
--> 612         volumeAxes.figure.canvas.draw()  # This is needed to calculate offset
    613         offset = volumeAxes.yaxis.get_major_formatter().get_offset()
    614         volumeAxes.yaxis.offsetText.set_visible(False)

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
    400         toolbar = self.toolbar
    401         try:
--> 402             self.figure.draw(self.renderer)
    403             # A GUI class may be need to update a window using this draw, so
    404             # don't forget to call the superclass.

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     48                 renderer.start_filter()
     49 
---> 50             return draw(artist, renderer, *args, **kwargs)
     51         finally:
     52             if artist.get_agg_filter() is not None:

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
   1647 
   1648             mimage._draw_list_compositing_images(
-> 1649                 renderer, self, artists, self.suppressComposite)
   1650 
   1651             renderer.close_group('figure')

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    136     if not_composite or not has_images:
    137         for a in artists:
--> 138             a.draw(renderer)
    139     else:
    140         # Composite any adjacent images together

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     48                 renderer.start_filter()
     49 
---> 50             return draw(artist, renderer, *args, **kwargs)
     51         finally:
     52             if artist.get_agg_filter() is not None:

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
   2626             renderer.stop_rasterizing()
   2627 
-> 2628         mimage._draw_list_compositing_images(renderer, self, artists)
   2629 
   2630         renderer.close_group('axes')

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    136     if not_composite or not has_images:
    137         for a in artists:
--> 138             a.draw(renderer)
    139     else:
    140         # Composite any adjacent images together

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     48                 renderer.start_filter()
     49 
---> 50             return draw(artist, renderer, *args, **kwargs)
     51         finally:
     52             if artist.get_agg_filter() is not None:

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in draw(self, renderer, *args, **kwargs)
   1183         renderer.open_group(__name__)
   1184 
-> 1185         ticks_to_draw = self._update_ticks(renderer)
   1186         ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
   1187                                                                 renderer)

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in _update_ticks(self, renderer)
   1021 
   1022         interval = self.get_view_interval()
-> 1023         tick_tups = list(self.iter_ticks())  # iter_ticks calls the locator
   1024         if self._smart_bounds and tick_tups:
   1025             # handle inverted limits

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in iter_ticks(self)
    969         self.major.formatter.set_locs(majorLocs)
    970         majorLabels = [self.major.formatter(val, i)
--> 971                        for i, val in enumerate(majorLocs)]
    972 
    973         minorLocs = self.minor.locator()

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in <listcomp>(.0)
    969         self.major.formatter.set_locs(majorLocs)
    970         majorLabels = [self.major.formatter(val, i)
--> 971                        for i, val in enumerate(majorLocs)]
    972 
    973         minorLocs = self.minor.locator()

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\mplfinance\_utils.py in __call__(self, x, pos)
   1135         else:
   1136             date = self.dates[ix]
-> 1137             dateformat = mdates.num2date(date).strftime(self.fmt)
   1138         #print('x=',x,'pos=',pos,'dates[',ix,']=',date,'dateformat=',dateformat)
   1139         return dateformat

ValueError: Invalid format string

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
    339                 pass
    340             else:
--> 341                 return printer(obj)
    342             # Finally look for special method names
    343             method = get_real_method(obj, self.print_method)

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
    246 
    247     if 'png' in formats:
--> 248         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
    249     if 'retina' in formats or 'png2x' in formats:
    250         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
    130         FigureCanvasBase(fig)
    131 
--> 132     fig.canvas.print_figure(bytes_io, **kw)
    133     data = bytes_io.getvalue()
    134     if fmt == 'svg':

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, **kwargs)
   2047                         orientation=orientation,
   2048                         dryrun=True,
-> 2049                         **kwargs)
   2050                     renderer = self.figure._cachedRenderer
   2051                     bbox_artists = kwargs.pop("bbox_extra_artists", None)

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
    508 
    509         """
--> 510         FigureCanvasAgg.draw(self)
    511         renderer = self.get_renderer()
    512 

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
    400         toolbar = self.toolbar
    401         try:
--> 402             self.figure.draw(self.renderer)
    403             # A GUI class may be need to update a window using this draw, so
    404             # don't forget to call the superclass.

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     48                 renderer.start_filter()
     49 
---> 50             return draw(artist, renderer, *args, **kwargs)
     51         finally:
     52             if artist.get_agg_filter() is not None:

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
   1647 
   1648             mimage._draw_list_compositing_images(
-> 1649                 renderer, self, artists, self.suppressComposite)
   1650 
   1651             renderer.close_group('figure')

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    136     if not_composite or not has_images:
    137         for a in artists:
--> 138             a.draw(renderer)
    139     else:
    140         # Composite any adjacent images together

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     48                 renderer.start_filter()
     49 
---> 50             return draw(artist, renderer, *args, **kwargs)
     51         finally:
     52             if artist.get_agg_filter() is not None:

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
   2626             renderer.stop_rasterizing()
   2627 
-> 2628         mimage._draw_list_compositing_images(renderer, self, artists)
   2629 
   2630         renderer.close_group('axes')

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    136     if not_composite or not has_images:
    137         for a in artists:
--> 138             a.draw(renderer)
    139     else:
    140         # Composite any adjacent images together

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     48                 renderer.start_filter()
     49 
---> 50             return draw(artist, renderer, *args, **kwargs)
     51         finally:
     52             if artist.get_agg_filter() is not None:

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in draw(self, renderer, *args, **kwargs)
   1183         renderer.open_group(__name__)
   1184 
-> 1185         ticks_to_draw = self._update_ticks(renderer)
   1186         ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
   1187                                                                 renderer)

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in _update_ticks(self, renderer)
   1021 
   1022         interval = self.get_view_interval()
-> 1023         tick_tups = list(self.iter_ticks())  # iter_ticks calls the locator
   1024         if self._smart_bounds and tick_tups:
   1025             # handle inverted limits

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in iter_ticks(self)
    969         self.major.formatter.set_locs(majorLocs)
    970         majorLabels = [self.major.formatter(val, i)
--> 971                        for i, val in enumerate(majorLocs)]
    972 
    973         minorLocs = self.minor.locator()

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\matplotlib\axis.py in <listcomp>(.0)
    969         self.major.formatter.set_locs(majorLocs)
    970         majorLabels = [self.major.formatter(val, i)
--> 971                        for i, val in enumerate(majorLocs)]
    972 
    973         minorLocs = self.minor.locator()

D:\ProgramData\Anaconda3\envs\vnpy\lib\site-packages\mplfinance\_utils.py in __call__(self, x, pos)
   1135         else:
   1136             date = self.dates[ix]
-> 1137             dateformat = mdates.num2date(date).strftime(self.fmt)
   1138         #print('x=',x,'pos=',pos,'dates[',ix,']=',date,'dateformat=',dateformat)
   1139         return dateformat

ValueError: Invalid format string

<Figure size 1200x1000 with 10 Axes>

Issue Analytics

State:
Created 3 years ago
Comments:13 (8 by maintainers)

Top GitHub Comments

1reaction

yhmickeycommented, Oct 5, 2020

@twopirllc

Yes, it is very easy to use and working.

Thanks. YH

0reactions

twopirllccommented, Oct 5, 2020

@yhmickey,

Great! Glad to hear.

Regards, KJ

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