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- Windowed read in open_rasterio · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 486589435 | https://github.com/pydata/xarray/issues/2918#issuecomment-486589435 | https://api.github.com/repos/pydata/xarray/issues/2918 | MDEyOklzc3VlQ29tbWVudDQ4NjU4OTQzNQ== | fmaussion 10050469 | 2019-04-25T09:22:03Z | 2019-04-25T09:22:03Z | MEMBER |
Correction: only the windowed operations can be done lazily, the other ones will fail unless you load the data first. |
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Windowed read in open_rasterio 437058245 | |
| 486574195 | https://github.com/pydata/xarray/issues/2918#issuecomment-486574195 | https://api.github.com/repos/pydata/xarray/issues/2918 | MDEyOklzc3VlQ29tbWVudDQ4NjU3NDE5NQ== | fmaussion 10050469 | 2019-04-25T08:38:11Z | 2019-04-25T08:38:28Z | MEMBER | Xarray already supports this, the syntax is that of xarray though. It reads the files lazily, then access only what you select, e.g.: ```python import os import urllib.request import matplotlib.pyplot as plt import xarray as xr Download the file from rasterio's repositoryurl = 'https://github.com/mapbox/rasterio/raw/master/tests/data/RGB.byte.tif' urllib.request.urlretrieve(url, 'RGB.byte.tif') Read the datada = xr.open_rasterio('RGB.byte.tif') da[:, 400:600, 400:600].plot.imshow(); ``` (or any other indexing operation) |
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Windowed read in open_rasterio 437058245 |
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