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GH5005 fix documentation on open_rasterio #5021

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merged 7 commits into from
Mar 15, 2021
Merged

GH5005 fix documentation on open_rasterio #5021

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660eb7e
GH5005 fix documentation on open_rasterio
gabriel-abrahao Mar 10, 2021
262b8e3
Example gets the transformation from attrs instead of da.transform
gabriel-abrahao Mar 10, 2021
44b2194
Doctest example in open_rasterio
gabriel-abrahao Mar 15, 2021
648b0a6
Doctest for open_rasterio, reverting commit
gabriel-abrahao Mar 15, 2021
bdc3e10
Applying blackdoc
gabriel-abrahao Mar 15, 2021
3f052e4
Remove unnecessary imports
gabriel-abrahao Mar 15, 2021
f475851
Getting transform from attribute
gabriel-abrahao Mar 15, 2021
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47 changes: 42 additions & 5 deletions xarray/backends/rasterio_.py
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Original file line number Diff line number Diff line change
Expand Up @@ -174,11 +174,48 @@ def open_rasterio(filename, parse_coordinates=None, chunks=None, cache=None, loc

You can generate 2D coordinates from the file's attributes with::

from affine import Affine
da = xr.open_rasterio('path_to_file.tif')
transform = Affine.from_gdal(*da.attrs['transform'])
nx, ny = da.sizes['x'], da.sizes['y']
x, y = np.meshgrid(np.arange(nx)+0.5, np.arange(ny)+0.5) * transform
>>> from affine import Affine
>>> import xarray as xr
>>> import numpy as np
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>>> da = xr.open_rasterio(
... "https://github.com/mapbox/rasterio/raw/master/tests/data/RGB.byte.tif"
... )
>>> da
<xarray.DataArray (band: 3, y: 718, x: 791)>
[1703814 values with dtype=uint8]
Coordinates:
* band (band) int64 1 2 3
* y (y) float64 2.827e+06 2.826e+06 2.826e+06 ... 2.612e+06 2.612e+06
* x (x) float64 1.021e+05 1.024e+05 1.027e+05 ... 3.389e+05 3.392e+05
Attributes:
transform: (300.0379266750948, 0.0, 101985.0, 0.0, -300.041782729805...
crs: +init=epsg:32618
res: (300.0379266750948, 300.041782729805)
is_tiled: 0
nodatavals: (0.0, 0.0, 0.0)
scales: (1.0, 1.0, 1.0)
offsets: (0.0, 0.0, 0.0)
AREA_OR_POINT: Area
>>> transform = Affine(*da.transform)
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>>> transform
Affine(300.0379266750948, 0.0, 101985.0,
0.0, -300.041782729805, 2826915.0)
>>> nx, ny = da.sizes["x"], da.sizes["y"]
>>> x, y = transform * np.meshgrid(np.arange(nx) + 0.5, np.arange(ny) + 0.5)
>>> x
array([[102135.01896334, 102435.05689001, 102735.09481669, ...,
338564.90518331, 338864.94310999, 339164.98103666],
[102135.01896334, 102435.05689001, 102735.09481669, ...,
338564.90518331, 338864.94310999, 339164.98103666],
[102135.01896334, 102435.05689001, 102735.09481669, ...,
338564.90518331, 338864.94310999, 339164.98103666],
...,
[102135.01896334, 102435.05689001, 102735.09481669, ...,
338564.90518331, 338864.94310999, 339164.98103666],
[102135.01896334, 102435.05689001, 102735.09481669, ...,
338564.90518331, 338864.94310999, 339164.98103666],
[102135.01896334, 102435.05689001, 102735.09481669, ...,
338564.90518331, 338864.94310999, 339164.98103666]])

Parameters
----------
Expand Down