Hi I wonder if I can create in-memory multi-dataset dataset, something like `gdalbuildvrt` but in memory The use case I have in mind, is that I have a list of urls some of them construct the same

Hi Brendan, Thanks! Indeed, that what I am trying to achieve. and your hint to ints is great! In fact, I could boil it down to store binary masks - feature id would be stored in the Z dimension

Thank you very much, Sean!

Hi Denis, I discovered that I had to patch GDAL 2.3.1 to build with OpenJPEG for the ancient manylinux1 platform. I've uploaded new wheels with a "-1" build tag to

I'm not entirely sure I follow what you are aiming for here yet. Are you trying to aggregate across features per pixel to calculate various statistics? Like, what is the average feature size of all

OS: Ubuntu 16.04.5 Wheel: rasterio-1.0.3.post1-cp35-cp35m-manylinux1_x86_64.whl Full example: $ pip install -U rasterioCollecting rasterio Using cached

Even, Thanks for the pointer! In configuring my GDAL 2.3.1 builds, pkg-config and openjpeg were found: (full logs here:

So what I am trying to achieve in the end is the same as basic `rasterio.feature.rasterize`, but with more flexible aggregation strategies, like median, mean, percentile and std - currently it

oh sure! here is the link: https://gist.github.com/Casyfill/0b0dc927fad892bbef2bfd7275d9fd14 And indeed, I am using geoseries.apply, but it is pretty much the same as looping - and obviously

Sean, Your wheels use openjpeg for GDAL JPEG2000 capability, right ? There has been a change in GDAL ./configure in 2.3.0 related to openjpeg detection. It now requires pkg-config to be available

Hi Philipp, How are you looping over each value to create a new raster? Are you able to share a gist of what you are doing?

Hi! I am trying to produce a map using rasterio's rasterization and datashader, following this gist https://gist.github.com/brendancol/db030013e981c46acb2886060dde607e It works perfectly well, when I

Thanks for the report, Denis. I had upgraded GDAL to 2.3.1 in these wheel builds, and was blaming my inability to access these jp2 files on a lack of credentials, but maybe something has changed

Hi Sean! After updating rasterio I get the following error: In [1]: from rasterio import open In [2]:

Hi all, The 1.0.3 wheels I built for OSX and uploaded to PyPI included a GDAL library with no curl support. I've made a post-release that fixes this problem. If you installed one of these wheels,

Hi all, Rasterio 1.0.3 is on PyPI now, finally. It fixes 2 bugs found since 1.0.2: - A regression in GeoJSON source handling in rio-rasterize (#1425) has been fixed. - Rasterization of linear rings

Hi Luke, I don't understand the issue entirely, but as Even Rouault explains in https://lists.osgeo.org/pipermail/gdal-dev/2015-June/041917.html a "naive" use of the write() method of a Rasterio

I stacked some singleband rasters into a multiband raster using `rio stack` with a compress=deflate creation option. The compressed output filesize was approx 1.4x the sum of the uncompressed input

clicked send too soon: 2. when using masked overviews, it looked like it was using the overview later today I will try to run tests again Do you care on how we created the original raster?

He Sean, We are creating cog files using our code that takes as input any raster, tiles it add overviews and rearrange the tif to be a cog. For doing so we are using rasetio shutils copy and rasterio