hi @benmack. I am having an issue (I am using eobox version 0.3.1.). Python version 3.6.10. I can import fine eobox.

import convert_df_to_geodf

Error

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-22-bb79235e32c0> in <module>
----> 1 import convert_df_to_geodf

ModuleNotFoundError: No module named 'convert_df_to_geodf'

Thank you!

from v0.0.3 onwards the package will have a simple structure again, i.e. it will not be possible to install the sub-pacakges independently. I started to set it up like this to learn and understand, however it makes it more difficult to extend and maintain the package and since it is rather a playground and learning package the easier way seems better to me now.

So Up to v0.0.2 you read this in the READMY:

The structure of this project has been created following the eo-learn project of Sinergise. For a package containing diverse functionalities as it is envisaged for this package as well, it is convincing to subdivide the pacakge into "several subpackages according to different functionalities and external package dependencies".

But that will change.

Hello, I want to want to do pixel-based processing with eo-box. I am following the blog post in https://benmack.github.io/blog/2020-01-06-1_federsee-blog-series_part-3_clf/ to do so. I have one tif image and a shapefile with some polygons (same projection). The error I get when I run the extraction is the following:

CalledProcessError: Command 'C:\DIR\lib\site-packages\GDAL-3.1.4-py3.7-win-amd64.egg-info\scripts\gdal_proximity.py C:\DIR\TEMPDIR_aux_vector_dist2pb_5yp1nyvy\interim_sample_vector_dataset_lines.tif C:\DIR\aux_vector_dist2pb.tif -ot Float32 -distunits PIXEL -values 1 -maxdist 255' returned non-zero exit status 1.

Any idea what might be wrong?

Build a docker image for running jupyterlab in a container with a non-root user, e.g.

docker run -u $(id -u $USER):$(id -g $USER) -v ${PWD}:/home/eoboxer/lucas-hls -p 8888:8888 benmack/eobox:latest

This is currently not possible and throws an exeption (see below).

The problem is that on the one hand we need a geospatial setup on the other hand we need a proper jupyter setup. Both can be tricky. Options for base images:

• https://github.com/OSGeo/gdal - relatively slim geo option
• https://jupyter-docker-stacks.readthedocs.io/en/latest/ - slim jupyter options
• https://github.com/SCiO-systems/cgspatial-notebook - very large option that might contain both

Current exception

docker run -u $(id -u $USER):$(id -g $USER) -v ${PWD}:/home/eoboxer/lucas-hls -p 8888:8888 benmack/eobox:latest
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/traitlets/traitlets.py", line 528, in get
    value = obj._trait_values[self.name]
KeyError: 'runtime_dir'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/bin/jupyter-notebook", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.8/dist-packages/jupyter_core/application.py", line 270, in launch_instance
    return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/traitlets/config/application.py", line 663, in launch_instance
    app.initialize(argv)
  File "<decorator-gen-7>", line 2, in initialize
  File "/usr/local/lib/python3.8/dist-packages/traitlets/config/application.py", line 87, in catch_config_error
    return method(app, *args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/notebook/notebookapp.py", line 1766, in initialize
    self.init_configurables()
  File "/usr/local/lib/python3.8/dist-packages/notebook/notebookapp.py", line 1380, in init_configurables
    connection_dir=self.runtime_dir,
  File "/usr/local/lib/python3.8/dist-packages/traitlets/traitlets.py", line 556, in __get__
    return self.get(obj, cls)
  File "/usr/local/lib/python3.8/dist-packages/traitlets/traitlets.py", line 535, in get
    value = self._validate(obj, dynamic_default())
  File "/usr/local/lib/python3.8/dist-packages/jupyter_core/application.py", line 100, in _runtime_dir_default
    ensure_dir_exists(rd, mode=0o700)
  File "/usr/local/lib/python3.8/dist-packages/jupyter_core/utils/__init__.py", line 13, in ensure_dir_exists
    os.makedirs(path, mode=mode)
  File "/usr/lib/python3.8/os.py", line 213, in makedirs
    makedirs(head, exist_ok=exist_ok)
  File "/usr/lib/python3.8/os.py", line 213, in makedirs
    makedirs(head, exist_ok=exist_ok)
  File "/usr/lib/python3.8/os.py", line 213, in makedirs
    makedirs(head, exist_ok=exist_ok)
  File "/usr/lib/python3.8/os.py", line 223, in makedirs
    mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: '/.local'

This makes sense since at the moment we only store the polygon ID but usually we want to frequently work with at least the class ID which we have stored in the vector file.

At the moment the user has to join that data on the pixel level by himself. But we could do that in the extraction function or provide as a separate function which works on top of an existing extraction folder.

Practically we only need to wrap what ther is already in ./examples/raster/cube_custom_functions_with_eocubescenecollection.ipynb in a method like EOCubeSceneCollection.create_virtual_time_series

See what parts are useful of the following ones:

• ./examples/raster/cube_calculate_virtual_time_series_with_eocube.ipynb

• ./examples/raster/cube_eocubescenecollection_and_virtual_time_series.ipynb