issue_comments: 223709530
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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 |
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https://github.com/pydata/xarray/issues/866#issuecomment-223709530 | https://api.github.com/repos/pydata/xarray/issues/866 | 223709530 | MDEyOklzc3VlQ29tbWVudDIyMzcwOTUzMA== | 10050469 | 2016-06-03T22:26:50Z | 2016-06-03T23:08:25Z | MEMBER | @shoyer I thought that the colorbar was not very meaningful for contours, but I changed my mind. [EDIT] I just updated the PR again. See the following example generated with the PR branch: ``` python import numpy as np import matplotlib.pyplot as plt import xarray as xr x, y = np.meshgrid(np.arange(12), np.arange(12)) z = xr.DataArray(np.sqrt(x2 + y2)) ds = z.to_dataset(name='z') f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(6, 6)) ds.z.plot.contour(ax=ax1, levels=[4]) ds.z.plot.contour(ax=ax2, levels=[-1, 2, 4, 6, 8]) ds.z.plot.contour(ax=ax3, levels=[4], colors=['k']) ds.z.plot.contour(ax=ax4, levels=[2, 4, 6, 8], colors=['k', 'r', 'g', 'b']) plt.tight_layout() plt.show() ``` I think it's ok now, and the 1-level examples now run just fine. |
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