sns.heatmap fails with OptionError: "No such keys(s): 'compute.use_numexpr'"
sns.heatmap fails with OptionError: "No such keys(s): 'compute.use_numexpr'"

```
OptionError                               Traceback (most recent call last)
<ipython-input-157-342bfcd26ea6> in <module>()
----> 1 plot_confusion_matrix(y_test, predicted_y)

<ipython-input-156-5c1d0cc2db4c> in plot_confusion_matrix(test_y, predict_y)
     35     cmap=sns.light_palette("blue")
     36     plt.subplot(1, 3, 1)
---> 37     sns.heatmap(C)
     38     plt.xlabel('Predicted Class')
     39     plt.ylabel('Original Class')

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/seaborn/matrix.py in heatmap(data, vmin, vmax, cmap, center, robust, annot, fmt, annot_kws, linewidths, linecolor, cbar, cbar_kws, cbar_ax, square, xticklabels, yticklabels, mask, ax, **kwargs)
    515     plotter = _HeatMapper(data, vmin, vmax, cmap, center, robust, annot, fmt,
    516                           annot_kws, cbar, cbar_kws, xticklabels,
--> 517                           yticklabels, mask)
    518 
    519     # Add the pcolormesh kwargs here

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/seaborn/matrix.py in __init__(self, data, vmin, vmax, cmap, center, robust, annot, fmt, annot_kws, cbar, cbar_kws, xticklabels, yticklabels, mask)
    111 
    112         # Validate the mask and convet to DataFrame
--> 113         mask = _matrix_mask(data, mask)
    114 
    115         plot_data = np.ma.masked_where(np.asarray(mask), plot_data)

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/seaborn/matrix.py in _matrix_mask(data, mask)
     90     # This works around an issue where `plt.pcolormesh` doesn't represent
     91     # missing data properly
---> 92     mask = mask | pd.isnull(data)
     93 
     94     return mask

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/core/ops.py in f(self, other, axis, level, fill_value)

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/core/frame.py in _combine_frame(self, other, func, fill_value, level)
   4749 
   4750         Returns
-> 4751         -------
   4752         DataFrame
   4753             DataFrame with NA entries dropped from it.

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/core/frame.py in _arith_op(left, right)
   4730             .. deprecated:: 0.23.0
   4731 
-> 4732                Pass tuple or list to drop on multiple axes.
   4733                Only a single axis is allowed.
   4734 

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/core/ops.py in na_op(x, y)

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/core/computation/expressions.py in <module>()
    166 
    167 # turn myself on
--> 168 set_use_numexpr(get_option("compute.use_numexpr"))
    169 
    170 

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/_config/config.py in __call__(self, *args, **kwds)
    231 
    232     def __call__(self, *args, **kwds):
--> 233         return self.__func__(*args, **kwds)
    234 
    235     @property

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/_config/config.py in _get_option(pat, silent)
    100 
    101 def _get_option(pat, silent=False):
--> 102     key = _get_single_key(pat, silent)
    103 
    104     # walk the nested dict

~/.pyenv/versions/anaconda3-5.2.0/lib/python3.6/site-packages/pandas/_config/config.py in _get_single_key(pat, silent)
     86         if not silent:
     87             _warn_if_deprecated(pat)
---> 88         raise OptionError("No such keys(s): {pat!r}".format(pat=pat))
     89     if len(keys) > 1:
     90         raise OptionError("Pattern matched multiple keys")

OptionError: "No such keys(s): 'compute.use_numexpr'"

```
Seaborn  and pandas version -
pandas==0.25.1
seaborn==0.9.0 
The code I am trying is -

labels = [1,2]
C = confusion_matrix(test_y, predict_y)
#[[9475 9411]
#[5490 5624]]

sns.heatmap(C, annot=True, cmap=cmap, fmt=".3f", xticklabels=labels, yticklabels=labels)
plt.xlabel('Predicted Class')
plt.ylabel('Original Class')
plt.title("Precision matrix")

I have tried reinstalling pandas as suggested here https://github.com/mwaskom/seaborn/issues/1789