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Thanks for your great work! I had trouble in the environment setting when I got start with this repo.
Environment Information
samgeo version: 0.10.5
Python version: 3.10.0
leafmap: 0.31.9
Operating System: Ubuntu 22.04.3 LTS
Description
I failed to add geotif image to the basemap.
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[7], [line 2](vscode-notebook-cell:?execution_count=7&line=2)
[1](vscode-notebook-cell:?execution_count=7&line=1) m.layers[-1].visible = False
----> [2](vscode-notebook-cell:?execution_count=7&line=2) m.add_raster(image, layer_name="Image")
[3](vscode-notebook-cell:?execution_count=7&line=3) m
File /data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2250, in Map.add_raster(self, source, indexes, colormap, vmin, vmax, nodata, attribution, layer_name, zoom_to_layer, visible, array_args, **kwargs)
[2228](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2228) """Add a local raster dataset to the map.
[2229](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2229) If you are using this function in JupyterHub on a remote server (e.g., Binder, Microsoft Planetary Computer) and
[2230](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2230) if the raster does not render properly, try installing jupyter-server-proxy using `pip install jupyter-server-proxy`,
(...)
[2247](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2247) array_args (dict, optional): Additional arguments to pass to `array_to_memory_file` when reading the raster. Defaults to {}.
[2248](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2248) """
[2249](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2249) import numpy as np
-> [2250](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2250) import xarray as xr
[2252](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2252) if isinstance(source, np.ndarray) or isinstance(source, xr.DataArray):
[2253](https://vscode-remote+ssh-002dremote-002b10-002e3-002e100-002e160.vscode-resource.vscode-cdn.net/data1/anaconda3/envs/samgeopip/lib/python3.10/site-packages/leafmap/leafmap.py:2253) source = array_to_image(source, **array_args)
ModuleNotFoundError: No module named 'xarray'
What I Did
Reproduce the bug
I created a new conda environment, and use pip install segment-geospatial to install the segment-geospatial package.
When installing segment-geospatial, it was reported that
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
docker-compose 1.29.2 requires distro<2,>=1.5.0, which is not installed.
docker-compose 1.29.2 requires jsonschema<4,>=2.5.1, but you have jsonschema 4.22.0 which is incompatible.
docker-compose 1.29.2 requires PyYAML<6,>=3.10, but you have pyyaml 6.0.1 which is incompatible.
docker-compose 1.29.2 requires websocket-client<1,>=0.32.0, but you have websocket-client 1.8.0 which is incompatible.
m.layers[-1].visible=Falsem.add_raster(image, layer_name="Image")
m
Fix the bug
After installing pip install xarray, I could seccessfully excecute the code block.
I guess it's a dependency issue. Shall we add the package xarray to the requirements.txt?
The text was updated successfully, but these errors were encountered:
Thanks for your great work! I had trouble in the environment setting when I got start with this repo.
Environment Information
Description
I failed to add geotif image to the basemap.
What I Did
Reproduce the bug
I created a new conda environment, and use
pip install segment-geospatial
to install the segment-geospatial package.When installing segment-geospatial, it was reported that
other packages were successfully installed.
when executing the following code block in the example notebook automatic_mask_generator.ipynb
Fix the bug
After installing
pip install xarray
, I could seccessfully excecute the code block.I guess it's a dependency issue. Shall we add the package
xarray
to the requirements.txt?The text was updated successfully, but these errors were encountered: