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I am trying to open a windowed dataset in rasterio, but I have a bounding box to work with. I thought it would be easy to do this but it seems that it involves some complicated process with a "Mixin", something I am having a very hard time understanding, even after reading the thread here.

The documentation says:

A subclass with this mixin MUST provide the following properties: transform, height and width

But I don't know how I can implement these properties if I don't know ahead of time what the height and width are going to be, and I'm not even sure that I am implementing the code properly anyway. This is what I have so far:

import rasterio
from rasterio.windows import WindowMethodsMixin, Window
from rasterio.enums import Resampling

class MyWindow(WindowMethodsMixin, Window):
    pass

with rasterio.open("flask/Docker/app/dem/slope_sm.tif") as src:
    rst1 = src.read(1, window=MyWindow.window(...))

I know this is hardly complete but I am really confused about how to proceed.

My IDE tells me that the call to MyWindow.window() takes the following parameters:

  1. self
  2. left
  3. bottom
  4. right
  5. top
  6. precision (optional)

But I don't know what to pass to the "self" parameter. The rest of the parameters are understandable - they are the edges of my bounding box from which I am constructing the window.

The documentation doesn't supply any working example of this, which I find odd because this seems to me like a pretty typical operation.

Can somebody please show me how to do this, or at least explain what I am missing here?

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6

Use the rasterio.windows.from_bounds function. No need for a class or mixin.

import rasterio
from rasterio.windows import from_bounds
from rasterio.enums import Resampling


with rasterio.open(filepath) as src:
    rst = src.read(1, window=from_bounds(left, bottom, right, top, src.transform))
1
  • That is it, thank you, I don't know how I missed this. I knew it could not be the case that such a simple typical operation wouldn't have a built-in function for it. – wfgeo Sep 26 '19 at 7:49

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