sns.heatmap fails with OptionError: "No such keys(s): 'compute.use_numexpr'" #28551
Description
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 mwaskom/seaborn#1789