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- Multidimensional `interpolate_na()` · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1511131414 | https://github.com/pydata/xarray/issues/6360#issuecomment-1511131414 | https://api.github.com/repos/pydata/xarray/issues/6360 | IC_kwDOAMm_X85aEgkW | thomas-fred 39301725 | 2023-04-17T11:01:14Z | 2023-04-17T11:01:14Z | NONE | I'd also find this very useful |
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Multidimensional `interpolate_na()` 1169750048 | |
1121288701 | https://github.com/pydata/xarray/issues/6360#issuecomment-1121288701 | https://api.github.com/repos/pydata/xarray/issues/6360 | IC_kwDOAMm_X85C1YH9 | dcherian 2448579 | 2022-05-09T16:02:29Z | 2022-09-16T08:23:19Z | MEMBER | @hafez-ahmad please open a new discussion topic with a fully reproducible example. |
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Multidimensional `interpolate_na()` 1169750048 | |
1120614431 | https://github.com/pydata/xarray/issues/6360#issuecomment-1120614431 | https://api.github.com/repos/pydata/xarray/issues/6360 | IC_kwDOAMm_X85Cyzgf | hafez-ahmad 20365917 | 2022-05-09T04:02:37Z | 2022-05-09T16:02:36Z | NONE |
faceted plot by monthg=data_mean.MODISA_L3m_ZLEE_2018_Zeu_lee.plot(x='lon',y='lat',col='month',col_wrap=4,cmap='RdBu_r',subplot_kws={ "projection": ccrs.Robinson()},figsize=(20,20)) for i, ax in enumerate(g.axes.flat): ax.set_title(data_mean.month.values[i]) ax.coastlines() ax.add_feature(cfeature.BORDERS.with_scale('50m'), linewidth=0.5, edgecolor='black') ax.gridlines(crs=ccrs.PlateCarree(), linewidth=0.5, linestyle='-') Would you please help me out with why I am not getting the proper surface? Thank you |
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Multidimensional `interpolate_na()` 1169750048 |
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