numpy version 1.16.1 issue in Lecture2_reliability.ipynb

[benpeloquin7]

Just a note that I ran into an error running Lecture2_reliability.ipynb in a conda env that used numpy version 1.16.1. Problem was fixed downgrading to version 1.15.1. Error occurred running cell 12 during the filtering in plt.fill_between. Stack trace below:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-12-50aa727add6e> in <module>()
      6 plt.plot(neuron_i_data)
      7 plt.fill_between(np.arange(192), minval, maxval, 
----> 8                  where=(np.arange(192) / 24) % 2, color='k', alpha=0.2)
      9 plt.xticks(np.arange(0, 192, 24) + 12, unique_categories, rotation=30);
     10 plt.ylabel('Neural Response')

~/anaconda/envs/py36/lib/python3.6/site-packages/matplotlib/pyplot.py in fill_between(x, y1, y2, where, interpolate, step, data, **kwargs)
   2608     return gca().fill_between(
   2609         x, y1, y2=y2, where=where, interpolate=interpolate, step=step,
-> 2610         **({"data": data} if data is not None else {}), **kwargs)
   2611 
   2612 

~/anaconda/envs/py36/lib/python3.6/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
   1808                         "the Matplotlib list!)" % (label_namer, func.__name__),
   1809                         RuntimeWarning, stacklevel=2)
-> 1810             return func(ax, *args, **kwargs)
   1811 
   1812         inner.__doc__ = _add_data_doc(inner.__doc__,

~/anaconda/envs/py36/lib/python3.6/site-packages/matplotlib/axes/_axes.py in fill_between(self, x, y1, y2, where, interpolate, step, **kwargs)
   5057             where = True
   5058         where = where & ~functools.reduce(np.logical_or,
-> 5059                                           map(np.ma.getmask, [x, y1, y2]))
   5060 
   5061         x, y1, y2 = np.broadcast_arrays(np.atleast_1d(x), y1, y2)

TypeError: ufunc 'bitwise_and' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''