ImportError: Can't determine version for numexpr

I copy and pasted the tutorial for creating data visualizations in Seaborn (link found here), but I run into this issue where it says that it cannot determine the version of numexpr. I tried reinstalling pandas, seaborn, numpy, and numexpr but it has not changed the result. Any feedback would be greatly appreciated.

`--------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-178-1b75b91045e5> in <module> 1 dots = sns.load_dataset(“dots”) ----> 2 sns.relplot( 3 data=dots, kind=“line”, 4 x=“time”, y=“firing_rate”, col=“align”, 5 hue=“choice”, size=“coherence”, style=“choice”,

~\anaconda3\lib\site-packages\seaborn\relational.py in relplot(x, y, hue, size, style, data, row, col, col_wrap, row_order, col_order, palette, hue_order, hue_norm, sizes, size_order, size_norm, markers, dashes, style_order, legend, kind, height, aspect, facet_kws, **kwargs)

~\anaconda3\lib\site-packages\seaborn\axisgrid.py in map_dataframe(self, func, *args, **kwargs) 818 “”“Label the x axis on the bottom row of the grid.”“” 819 if label is None: –> 820 label = self._x_var 821 for ax in self._bottom_axes: 822 ax.set_xlabel(label, **kwargs)

~\anaconda3\lib\site-packages\seaborn\axisgrid.py in _facet_plot(self, func, ax, plot_args, plot_kwargs) 836 ax.set_ylabel(“”) 837 return self –> 838 839 def set_xticklabels(self, labels=None, step=None, **kwargs): 840 “”“Set x axis tick labels of the grid.”“”

~\anaconda3\lib\site-packages\seaborn\relational.py in lineplot(x, y, hue, size, style, data, palette, hue_order, hue_norm, sizes, size_order, size_norm, dashes, markers, style_order, units, estimator, ci, n_boot, sort, err_style, err_kws, legend, ax, **kwargs) 1082 Grouping variable that will produce elements with different styles. 1083 Can have a numeric dtype but will always be treated as categorical. -> 1084 {params.core.data} 1085 {params.facets.rowcol} 1086 {params.facets.col_wrap}

~\anaconda3\lib\site-packages\seaborn\relational.py in plot(self, ax, kws) 764 Returns 765 ------- –> 766 {returns.ax} 767 768 See Also

~\anaconda3\lib\site-packages\seaborn\relational.py in subset_data(self) 319 marker=attrs.get(“marker”, “”), 320 dashes=attrs.get(“dashes”, “”), –> 321 ) 322 323 func = getattr(ax, self._legend_func)

~\anaconda3\lib\site-packages\pandas\core\ops\common.py in new_method(self, other) 63 other = item_from_zerodim(other) 64 —> 65 return method(self, other) 66 67 return new_method

~\anaconda3\lib\site-packages\pandas\core\ops_init_.py in wrapper(self, other) 368 rvalues = extract_array(other, extract_numpy=True) 369 –> 370 res_values = comparison_op(lvalues, rvalues, op) 371 372 return self._construct_result(res_values, name=res_name)

~\anaconda3\lib\site-packages\pandas\core\ops\array_ops.py in comparison_op(left, right, op) 249 warnings.simplefilter(“ignore”, DeprecationWarning) 250 with np.errstate(all=“ignore”): –> 251 res_values = na_arithmetic_op(lvalues, rvalues, op, is_cmp=True) 252 253 return res_values

~\anaconda3\lib\site-packages\pandas\core\ops\array_ops.py in na_arithmetic_op(left, right, op, is_cmp) 138 TypeError : invalid operation 139 “”" –> 140 import pandas.core.computation.expressions as expressions 141 142 try:

~\anaconda3\lib\site-packages\pandas\core\computation\expressions.py in <module> 15 from pandas.core.dtypes.generic import ABCDataFrame 16 —> 17 from pandas.core.computation.check import _NUMEXPR_INSTALLED 18 from pandas.core.ops import roperator 19

~\anaconda3\lib\site-packages\pandas\core\computation\check.py in <module> 1 from pandas.compat._optional import import_optional_dependency 2 ----> 3 ne = import_optional_dependency(“numexpr”, raise_on_missing=False, on_version=“warn”) 4 _NUMEXPR_INSTALLED = ne is not None 5 if _NUMEXPR_INSTALLED:

~\anaconda3\lib\site-packages\pandas\compat_optional.py in import_optional_dependency(name, extra, raise_on_missing, on_version) 114 minimum_version = VERSIONS.get(name) 115 if minimum_version: –> 116 version = _get_version(module) 117 if distutils.version.LooseVersion(version) < minimum_version: 118 assert on_version in {“warn”, “raise”, “ignore”}

~\anaconda3\lib\site-packages\pandas\compat_optional.py in _get_version(module) 55 56 if version is None: —> 57 raise ImportError(f"Can’t determine version for {module.name}") 58 return version 59

ImportError: Can’t determine version for numexpr`

[robbmcleod]

The attribute is numexpr.__version__, not numexpr.version.

How did you install pandas? Are you using a mixture of pip and conda?

Maybe take a look in the directory ~\anaconda3\lib\site-packages\ and look and see what’s in the numexpr sub-directory? Sounds like you have a broken numexpr install. Cleaning up site-packages and reinstalling it might fix the problem.

[vunietto]

I’m going to close this one as we haven’t heard back from the reporter in a couple of months.

You solve my problem,thx a lot