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heres the stack trace... haven't investigated when it can happen yet:
│ /Users/talley/dev/self/ndv/src/ndv/controllers/_array_viewer.py:203 in _add_histogram │ │ │ │ 200 │ │ │ │ self._histogram.set_data(counts, edges) │ │ 201 │ │ │ │ 202 │ │ if self.data is not None: │ │ ❱ 203 │ │ │ self._update_hist_domain_for_dtype() │ │ 204 │ │ │ 205 │ def _update_hist_domain_for_dtype( │ │ 206 │ │ self, dtype: np.typing.DTypeLike | None = None │ │ │ │ /Users/talley/dev/self/ndv/src/ndv/controllers/_array_viewer.py:213 in │ │ _update_hist_domain_for_dtype │ │ │ │ 210 │ │ if dtype is None: │ │ 211 │ │ │ if (wrapper := self._data_model.data_wrapper) is None: │ │ 212 │ │ │ │ return │ │ ❱ 213 │ │ │ dtype = wrapper.dtype │ │ 214 │ │ else: │ │ 215 │ │ │ dtype = np.dtype(dtype) │ │ 216 │ │ if dtype.kind in "iu": │ │ │ │ /Users/talley/dev/self/ndv/src/ndv/models/_data_wrapper.py:118 in dtype │ │ │ │ 115 │ def dtype(self) -> np.dtype: │ │ 116 │ │ """Return the dtype for the data.""" │ │ 117 │ │ try: │ │ ❱ 118 │ │ │ return np.dtype(self._data.dtype) # type: ignore │ │ 119 │ │ except AttributeError as e: │ │ 120 │ │ │ raise NotImplementedError( │ │ 121 │ │ │ │ "`dtype` property not properly implemented for DataWrapper of type: " │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ TypeError: Cannot interpret 'dtype("uint16")' as a data type
The text was updated successfully, but these errors were encountered:
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heres the stack trace... haven't investigated when it can happen yet:
The text was updated successfully, but these errors were encountered: