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At the moment, it just uses plt.plot and gives this error if we try to use them:
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-214-67a022bd432d> in <module> ----> 1 showOccupancies(dali_ens, normed=True, atoms=dali_ens.getAtoms()) 2 plt.ylim([0, 1.1]) /mnt/c/Users/james/code/ProDy/prody/ensemble/functions.py in showOccupancies(pdbensemble, *args, **kwargs) 333 if weights is None: 334 return None --> 335 show = plt.plot(weights, *args, **kwargs) 336 axis = list(plt.axis()) 337 axis[2] = 0 ~/anaconda3/lib/python3.8/site-packages/matplotlib/pyplot.py in plot(scalex, scaley, data, *args, **kwargs) 2838 @_copy_docstring_and_deprecators(Axes.plot) 2839 def plot(*args, scalex=True, scaley=True, data=None, **kwargs): -> 2840 return gca().plot( 2841 *args, scalex=scalex, scaley=scaley, 2842 **({"data": data} if data is not None else {}), **kwargs) ~/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_axes.py in plot(self, scalex, scaley, data, *args, **kwargs) 1741 """ 1742 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D) -> 1743 lines = [*self._get_lines(*args, data=data, **kwargs)] 1744 for line in lines: 1745 self.add_line(line) ~/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_base.py in __call__(self, data, *args, **kwargs) 271 this += args[0], 272 args = args[1:] --> 273 yield from self._plot_args(this, kwargs) 274 275 def get_next_color(self): ~/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs) 416 if ncx > 1 and ncy > 1 and ncx != ncy: 417 raise ValueError(f"x has {ncx} columns but y has {ncy} columns") --> 418 return [func(x[:, j % ncx], y[:, j % ncy], kw, kwargs) 419 for j in range(max(ncx, ncy))] 420 ~/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_base.py in <listcomp>(.0) 416 if ncx > 1 and ncy > 1 and ncx != ncy: 417 raise ValueError(f"x has {ncx} columns but y has {ncy} columns") --> 418 return [func(x[:, j % ncx], y[:, j % ncy], kw, kwargs) 419 for j in range(max(ncx, ncy))] 420 ~/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_base.py in _makeline(self, x, y, kw, kwargs) 310 default_dict = self._getdefaults(set(), kw) 311 self._setdefaults(default_dict, kw) --> 312 seg = mlines.Line2D(x, y, **kw) 313 return seg 314 ~/anaconda3/lib/python3.8/site-packages/matplotlib/lines.py in __init__(self, xdata, ydata, linewidth, linestyle, color, marker, markersize, markeredgewidth, markeredgecolor, markerfacecolor, markerfacecoloralt, fillstyle, antialiased, dash_capstyle, solid_capstyle, dash_joinstyle, solid_joinstyle, pickradius, drawstyle, markevery, **kwargs) 388 # update kwargs before updating data to give the caller a 389 # chance to init axes (and hence unit support) --> 390 self.update(kwargs) 391 self.pickradius = pickradius 392 self.ind_offset = 0 ~/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in update(self, props) 994 func = getattr(self, f"set_{k}", None) 995 if not callable(func): --> 996 raise AttributeError(f"{type(self).__name__!r} object " 997 f"has no property {k!r}") 998 ret.append(func(v)) AttributeError: 'Line2D' object has no property 'atoms'
The text was updated successfully, but these errors were encountered:
using showAtomicLines from dynamics.plotting is not an option because of circular imports related to ClustENM
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At the moment, it just uses plt.plot and gives this error if we try to use them:
The text was updated successfully, but these errors were encountered: