issue_comments: 351825070
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/1780#issuecomment-351825070 | https://api.github.com/repos/pydata/xarray/issues/1780 | 351825070 | MDEyOklzc3VlQ29tbWVudDM1MTgyNTA3MA== | 10050469 | 2017-12-14T20:21:18Z | 2017-12-14T20:21:18Z | MEMBER |
ups yes, I might have been confused by the warning, but it does work with latest mpl yes. The warning says: ``` In [1]: import numpy as np In [2]: import matplotlib.pyplot as plt In [3]: a = np.full((2, 2), np.NaN) In [4]: plt.imshow(a) In [5]: plt.show() /home/mowglie/.pyvirtualenvs/py3/lib/python3.5/site-packages/matplotlib/colors.py:897: UserWarning: Warning: converting a masked element to nan. dtype = np.min_scalar_type(value) /home/mowglie/.pyvirtualenvs/py3/lib/python3.5/site-packages/numpy/ma/core.py:748: UserWarning: Warning: converting a masked element to nan. data = np.array(a, copy=False, subok=subok) ``` |
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