Open Vaspra opened 1 year ago
Hi @Vaspra, it looks from your conda list
like you have a mix of packages from conda-forge
and pypi
. This generally doesn't work out well and leads to the kinds of DLL problems that you're reporting. Could you try creating a new environment that just uses conda-forge and see if that works out for you?
See: https://conda-forge.org/#about
conda config --add channels conda-forge
conda config --set channel_priority strict
conda create -y -n rasterio_test python=3.8 rasterio ...
In the last command, list as many packages as you need to. Then, do:
conda activate rasterio_test
There may be some Windows nuances that I don't know about. I'm a Linux user myself.
Hi @xylar, thanks for the quick reply.
I have created an environment entirely from conda-forge
and validated that all conda list
items are properly sourced (not from pypi
).
The application I am attempting to use (https://poissonfish.github.io/GRID/ch1_started/installation.html#step-3-install-grid-via-pypi) has instructions to install rasterio using conda-forge but then instructs to install the application itself through pip/pypi. I have tried to tell pip to install packages through the conda-forge index url, but packages wind up not being found as I guess they're only hosted on pypi.
I'm assuming the required rasterio files are only on conda-forge, so am I left in a situation where I cannot obtain 100% of packages required for both rasterio and this application from one source, unless I am mistaken.
@Vaspra, thanks for the clarification. It sounds like your issue isn't caused by mixing channels as I suspected. It seems like it might be the same as #240, which I'm sorry to say that I don't have the expertise to help with. I do hope someone with expertise in windows and a windows machine can help!
Hi @Vaspra , I ran into a similar issue when installing rasterio. I followed tips here: https://stackoverflow.com/questions/57518050/conda-install-and-update-do-not-work-also-solving-environment-get-errors You create an env and activate that, then do the installation within the env, it worked for me on my windows machine.
I recommend the package maintainer update the README to include this tip.
I recently ran into this issue as well: https://github.com/corteva/rioxarray/actions/runs/3652596990/jobs/6171179962.
The strange thing is that it was working fine 10 days ago and there hasn't been any rasterio release since then. :thinking:
I have this issue as well, it worked fine a month ago, I updated a different GDAL installation through OSGEO4W thogh(QGIS stuff)
Can confirm that the issue is going on today. I installed it on a functional and existing env, seems to be working on a completely empty env so I'm guessing there's a conflict somewhere
I needed to solve this by downgrading in a completely new Conda env which is really suboptimal
I got this error after updating pandas and accepteing all changes suggested by the pandas update.
I fixed it with: conda install rasterio=1.2.10
which made the following changes:
Package Version Build Channel Size
--------------------------------------------------------------------------------
Install:
--------------------------------------------------------------------------------
+ pcre 8.45 h0e60522_0 conda-forge/win-64 Cached
Change:
--------------------------------------------------------------------------------
- fiona 1.8.22 py39hb5a1417_5 conda-forge
+ fiona 1.8.22 py39h9e0966e_0 conda-forge/win-64 Cached
- geotiff 1.7.1 h720ab47_5 conda-forge
+ geotiff 1.7.1 h714bc5f_3 conda-forge/win-64 Cached
- lcms2 2.14 ha5c8aab_1 conda-forge
+ lcms2 2.14 h90d422f_0 conda-forge/win-64 1MB
- librttopo 1.1.0 he22b5cd_12 conda-forge
+ librttopo 1.1.0 h2842628_11 conda-forge/win-64 Cached
- libspatialite 5.0.1 h07bf483_22 conda-forge
+ libspatialite 5.0.1 hd9530bf_19 conda-forge/win-64 12MB
- openjpeg 2.5.0 ha2aaf27_2 conda-forge
+ openjpeg 2.5.0 hc9384bd_1 conda-forge/win-64 Cached
- shapely 1.8.5 py39h7c5f289_2 conda-forge
+ shapely 1.8.5 py39h6f18ba6_1 conda-forge/win-64 426kB
Downgrade:
--------------------------------------------------------------------------------
- cfitsio 4.2.0 h9ebe7e4_0 conda-forge
+ cfitsio 4.1.0 h5a969a9_0 conda-forge/win-64 Cached
- ffmpeg 5.1.2 gpl_h5b1d025_105 conda-forge
+ ffmpeg 4.4.2 gpl_h5b1d025_112 conda-forge/win-64 11MB
- gdal 3.6.2 py39h3be0312_3 conda-forge
+ gdal 3.5.2 py39h3be0312_4 conda-forge/win-64 Cached
- geos 3.11.1 h1537add_0 conda-forge
+ geos 3.11.0 h39d44d4_0 conda-forge/win-64 Cached
- kealib 1.5.0 h61be68b_0 conda-forge
+ kealib 1.4.15 hdf81f3a_1 conda-forge/win-64 Cached
- libdeflate 1.17 hcfcfb64_0 conda-forge
+ libdeflate 1.14 hcfcfb64_0 conda-forge/win-64 Cached
- libgdal 3.6.2 h060c9ed_3 conda-forge
+ libgdal 3.5.2 h2477998_4 conda-forge/win-64 Cached
- libpq 15.1 ha9684e8_3 conda-forge
+ libpq 14.5 ha9684e8_5 conda-forge/win-64 3MB
- libtiff 4.5.0 hf8721a0_2 conda-forge
+ libtiff 4.4.0 hc4f729c_5 conda-forge/win-64 806kB
- pillow 9.4.0 py39h9767c21_0 conda-forge
+ pillow 9.2.0 py39h595c93f_3 conda-forge/win-64 48MB
- poppler 22.12.0 h183ae7b_1 conda-forge
+ poppler 22.10.0 ha6c1112_0 conda-forge/win-64 Cached
- postgresql 15.1 hd87cd2b_3 conda-forge
+ postgresql 14.5 hd87cd2b_5 conda-forge/win-64 17MB
- proj 9.1.0 heca977f_1 conda-forge
+ proj 9.0.1 h1cfcee9_1 conda-forge/win-64 Cached
- pygeos 0.14 py39h7c5f289_0 conda-forge
+ pygeos 0.13 py39h6f18ba6_1 conda-forge/win-64 432kB
- pyproj 3.4.1 py39h9727d73_0 conda-forge
+ pyproj 3.4.0 py39h2de216b_0 conda-forge/win-64 Cached
- rasterio 1.3.4 py39hce277b7_0 conda-forge
+ rasterio 1.2.10 py39h223f425_7 conda-forge/win-64 8MB
- tiledb 2.13.2 h3132609_0 conda-forge
+ tiledb 2.11.3 h3132609_1 conda-forge/win-64 3MB
- vtk 9.2.5 qt_py39h52d64c9_201 conda-forge
+ vtk 9.2.2 qt_py39hca7f291_200 conda-forge/win-64 Cached
Now it works.
After doing my research I found a way to make GDAL and Rasterio work on Jupyter Notebooks to avoid the "dll load failed while importing"
Create New Environment called "EO" with
conda create --name EO -c conda-forge python=3.9.7 gdal=3.3.2 rasterio=1.2.10 ipykernel=6.4.1 jupyter=1.0.0
At this point you can import gdal from a normal ".py" file but not from a ".ipynb" (Jupyter Notebook)
from osgeo import gdal # Import gdal before rasterio
import rasterio
Example:
(base) C:\Users\xxx>conda activate EO
(EO) C:\Users\xxx>python
Python 3.9.7 | packaged by conda-forge | (default, Sep 29 2021, 19:15:42) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from osgeo import gdal
>>> import rasterio
>>> exit()
Activate the newly created environment from the Anaconda command prompt
conda activate EO
Create a new kernel called "gdal"
python -m ipykernel install --user --name=gdal
Example:
(EO) C:\Users\xxx>python -m ipykernel install --user --name=gdal
Installed kernelspec gdal in C:\Users\xxx\AppData\Roaming\jupyter\kernels\gdal
EXTRA NOTES
When trying to replicate the error after running this process for the first time I couldn't do it. Everything worked on jupyter notebooks after Step 3 with the "Python 3 ipykernel". Doing this may have changed something but I'm not certain what happened. I tried deleting the env but everything worked now.
The latest GDAL in Anaconda seems to install Python 3.10 which is one of the biggest issues (that's why I had to find working versions)
Solution #2
After installing 1 by 1 I figured out that GDAL version gets changed with Basemap, which messes up the packages and the dll error starts to appear.
I instead installed CartoPy and Everything Seems fine. Following is the lines I use to install and the dependencies:
Installation commands
conda create --name EO -c conda-forge python=3.9
conda install -c conda-forge sentinelsat rasterio
conda install -c conda-forge geopandas pyproj fiona
conda install -c conda-forge numpy matplotlib scipy scikit-learn netcdf4 xarray cartopy natsort
conda install -c conda-forge ipywidgets
Dependencies:
dependencies:
- affine=2.4.0
- appdirs=1.4.4
- attrs=22.2.0
- blosc=1.21.3
- boost-cpp=1.78.0
- branca=0.6.0
- brotli=1.0.9
- brotli-bin=1.0.9
- brotlipy=0.7.0
- bzip2=1.0.8
- ca-certificates=2022.12.7
- cairo=1.16.0
- cartopy=0.21.1
- certifi=2022.12.7
- cffi=1.15.1
- cfitsio=4.2.0
- cftime=1.6.2
- charset-normalizer=2.1.1
- click=8.1.3
- click-plugins=1.1.1
- cligj=0.7.2
- colorama=0.4.6
- contourpy=1.0.7
- cryptography=39.0.0
- curl=7.87.0
- cycler=0.11.0
- expat=2.5.0
- fiona=1.8.22
- folium=0.14.0
- font-ttf-dejavu-sans-mono=2.37
- font-ttf-inconsolata=3.000
- font-ttf-source-code-pro=2.038
- font-ttf-ubuntu=0.83
- fontconfig=2.14.1
- fonts-conda-ecosystem=1
- fonts-conda-forge=1
- fonttools=4.38.0
- freetype=2.12.1
- freexl=1.0.6
- gdal=3.6.2
- geojson=2.5.0
- geomet=1.0.0
- geopandas=0.12.2
- geopandas-base=0.12.2
- geos=3.11.1
- geotiff=1.7.1
- gettext=0.21.1
- glib=2.74.1
- glib-tools=2.74.1
- gst-plugins-base=1.21.3
- gstreamer=1.21.3
- hdf4=4.2.15
- hdf5=1.12.2
- html2text=2020.1.16
- icu=70.1
- idna=3.4
- intel-openmp=2023.0.0
- jinja2=3.1.2
- joblib=1.2.0
- jpeg=9e
- kealib=1.5.0
- kiwisolver=1.4.4
- krb5=1.20.1
- lcms2=2.14
- lerc=4.0.0
- libaec=1.0.6
- libblas=3.9.0
- libbrotlicommon=1.0.9
- libbrotlidec=1.0.9
- libbrotlienc=1.0.9
- libcblas=3.9.0
- libclang=15.0.7
- libclang13=15.0.7
- libcurl=7.87.0
- libdeflate=1.17
- libffi=3.4.2
- libgdal=3.6.2
- libglib=2.74.1
- libhwloc=2.8.0
- libiconv=1.17
- libjpeg-turbo=2.1.4
- libkml=1.3.0
- liblapack=3.9.0
- libnetcdf=4.8.1
- libogg=1.3.4
- libpng=1.6.39
- libpq=15.1
- librttopo=1.1.0
- libspatialindex=1.9.3
- libspatialite=5.0.1
- libsqlite=3.40.0
- libssh2=1.10.0
- libtiff=4.5.0
- libvorbis=1.3.7
- libwebp-base=1.2.4
- libxcb=1.13
- libxml2=2.10.3
- libzip=1.9.2
- libzlib=1.2.13
- lz4-c=1.9.3
- m2w64-gcc-libgfortran=5.3.0
- m2w64-gcc-libs=5.3.0
- m2w64-gcc-libs-core=5.3.0
- m2w64-gmp=6.1.0
- m2w64-libwinpthread-git=5.0.0.4634.697f757
- mapclassify=2.5.0
- markupsafe=2.1.2
- matplotlib=3.6.3
- matplotlib-base=3.6.3
- mkl=2022.1.0
- msys2-conda-epoch=20160418
- munch=2.5.0
- munkres=1.1.4
- netcdf4=1.6.2
- networkx=3.0
- numpy=1.24.1
- openjpeg=2.5.0
- openssl=3.0.7
- packaging=23.0
- pandas=1.5.3
- pcre2=10.40
- pillow=9.4.0
- pip=22.3.1
- pixman=0.40.0
- ply=3.11
- pooch=1.6.0
- poppler=22.12.0
- poppler-data=0.4.11
- postgresql=15.1
- proj=9.1.0
- pthread-stubs=0.4
- pthreads-win32=2.9.1
- pycparser=2.21
- pyopenssl=23.0.0
- pyparsing=3.0.9
- pyproj=3.4.1
- pyqt=5.15.7
- pyqt5-sip=12.11.0
- pyshp=2.3.1
- pysocks=1.7.1
- python=3.9.15
- python-dateutil=2.8.2
- python_abi=3.9
- pytz=2022.7.1
- qt-main=5.15.6
- rasterio=1.3.4
- requests=2.28.2
- rtree=1.0.1
- scikit-learn=1.2.0
- scipy=1.10.0
- sentinelsat=1.1.1
- setuptools=66.1.1
- shapely=2.0.0
- sip=6.7.5
- six=1.16.0
- snappy=1.1.9
- snuggs=1.4.7
- sqlite=3.40.0
- tbb=2021.7.0
- threadpoolctl=3.1.0
- tiledb=2.13.2
- tk=8.6.12
- toml=0.10.2
- tornado=6.2
- tqdm=4.64.1
- tzdata=2022g
- ucrt=10.0.22621.0
- unicodedata2=15.0.0
- urllib3=1.26.14
- vc=14.3
- vs2015_runtime=14.34.31931
- wheel=0.38.4
- win_inet_pton=1.1.0
- xarray=2023.1.0
- xerces-c=3.2.4
- xorg-libxau=1.0.9
- xorg-libxdmcp=1.1.3
- xyzservices=2022.9.0
- xz=5.2.6
- zlib=1.2.13
- zstd=1.5.2
Hi @DevAlvaroF
Thanks for your work! I also ran into this problem recently. So I came across your solution.
However, instead of doing all this environment stuff, I just simply tried to do what you wrote in step 2, while still having rasterio 1.3.7
and latest Python version installed.
At this point you can import gdal from a normal ".py" file but not from a ".ipynb" (Jupyter Notebook)
from osgeo import gdal # Import gdal before rasterio
import rasterio
Simply import gdal
before rasterio
and it works for me. If it doesn't work for you still, I am sorry. But it worked for me.
I just encountered the same issue with the latest conda build (after a conda update conda
, i.e. 3.25.0) on Windows 10 and with this simple environment file:
name: rasterio_39
channels:
- conda-forge
dependencies: # everything under this, installed by conda
- python=3.9
- rasterio
Error is:
(rasterio_39) PS D:\_EXTRACTEO\BUG\conda> python
Python 3.9.16 | packaged by conda-forge | (main, Feb 1 2023, 21:28:38) [MSC v.1929 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import rasterio
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\rbraun\Anaconda3\envs\rasterio_39\lib\site-packages\rasterio\__init__.py", line 28, in <module>
from rasterio._version import gdal_version, get_geos_version, get_proj_version
ImportError: DLL load failed while importing _version: La procédure spécifiée est introuvable.
>>>
The package list is:
(rasterio_39) PS C:\Users\rbraun> conda list
# packages in environment at C:\Users\rbraun\Anaconda3\envs\rasterio_39:
#
# Name Version Build Channel
affine 2.4.0 pyhd8ed1ab_0 conda-forge
attrs 23.1.0 pyh71513ae_1 conda-forge
blosc 1.21.4 hdccc3a2_0 conda-forge
boost-cpp 1.78.0 h9f4b32c_3 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
ca-certificates 2023.5.7 h56e8100_0 conda-forge
cairo 1.16.0 hdecc03f_1016 conda-forge
certifi 2023.5.7 pyhd8ed1ab_0 conda-forge
cfitsio 4.2.0 h9ebe7e4_0 conda-forge
click 8.1.4 win_pyh7428d3b_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
curl 8.1.2 h68f0423_0 conda-forge
expat 2.5.0 h63175ca_1 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.2 hbde0cde_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
freetype 2.12.1 h546665d_1 conda-forge
freexl 1.0.6 h67ca5e6_1 conda-forge
geos 3.12.0 h1537add_0 conda-forge
geotiff 1.7.1 h4e61e90_9 conda-forge
gettext 0.21.1 h5728263_0 conda-forge
hdf4 4.2.15 h1334946_6 conda-forge
hdf5 1.14.1 nompi_h73e8ff5_100 conda-forge
icu 72.1 h63175ca_0 conda-forge
intel-openmp 2023.1.0 h57928b3_46319 conda-forge
kealib 1.5.1 h96def13_4 conda-forge
krb5 1.20.1 heb0366b_0 conda-forge
lcms2 2.15 h3e3b177_1 conda-forge
lerc 4.0.0 h63175ca_0 conda-forge
libaec 1.0.6 h63175ca_1 conda-forge
libarchive 3.6.2 h6f8411a_1 conda-forge
libblas 3.9.0 17_win64_mkl conda-forge
libcblas 3.9.0 17_win64_mkl conda-forge
libcurl 8.1.2 h68f0423_0 conda-forge
libdeflate 1.18 hcfcfb64_0 conda-forge
libexpat 2.5.0 h63175ca_1 conda-forge
libffi 3.4.2 h8ffe710_5 conda-forge
libgdal 3.7.0 hc47cf30_5 conda-forge
libglib 2.76.4 he8f3873_0 conda-forge
libhwloc 2.9.1 nocuda_h15da153_6 conda-forge
libiconv 1.17 h8ffe710_0 conda-forge
libjpeg-turbo 2.1.5.1 hcfcfb64_0 conda-forge
libkml 1.3.0 hf2ab4e4_1015 conda-forge
liblapack 3.9.0 17_win64_mkl conda-forge
libnetcdf 4.9.2 nompi_h5902ca5_107 conda-forge
libpng 1.6.39 h19919ed_0 conda-forge
libpq 15.3 ha9684e8_1 conda-forge
librttopo 1.1.0 h92c5fdb_14 conda-forge
libspatialite 5.0.1 hc49ff46_28 conda-forge
libsqlite 3.42.0 hcfcfb64_0 conda-forge
libssh2 1.11.0 h7dfc565_0 conda-forge
libtiff 4.5.1 h6c8260b_0 conda-forge
libwebp-base 1.3.1 hcfcfb64_0 conda-forge
libxml2 2.11.4 hc3477c8_0 conda-forge
libzip 1.9.2 h519de47_1 conda-forge
libzlib 1.2.13 hcfcfb64_5 conda-forge
lz4-c 1.9.4 hcfcfb64_0 conda-forge
lzo 2.10 he774522_1000 conda-forge
mkl 2022.1.0 h6a75c08_874 conda-forge
numpy 1.25.1 py39h816b6a6_0 conda-forge
openjpeg 2.5.0 ha2aaf27_2 conda-forge
openssl 3.1.1 hcfcfb64_1 conda-forge
pcre2 10.40 h17e33f8_0 conda-forge
pip 23.1.2 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h8ffe710_0 conda-forge
poppler 23.07.0 h45d20d0_0 conda-forge
poppler-data 0.4.12 hd8ed1ab_0 conda-forge
postgresql 15.3 h96452e4_1 conda-forge
proj 9.2.1 h660b3b0_0 conda-forge
pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge
pyparsing 3.1.0 pyhd8ed1ab_0 conda-forge
python 3.9.16 h4de0772_0_cpython conda-forge
python_abi 3.9 3_cp39 conda-forge
rasterio 1.3.8 py39h2a7a4f8_0 conda-forge
setuptools 68.0.0 pyhd8ed1ab_0 conda-forge
snappy 1.1.10 hfb803bf_0 conda-forge
snuggs 1.4.7 py_0 conda-forge
sqlite 3.42.0 hcfcfb64_0 conda-forge
tbb 2021.9.0 h91493d7_0 conda-forge
tiledb 2.13.2 h3132609_0 conda-forge
tk 8.6.12 h8ffe710_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
ucrt 10.0.22621.0 h57928b3_0 conda-forge
vc 14.3 h64f974e_17 conda-forge
vc14_runtime 14.36.32532 hfdfe4a8_17 conda-forge
vs2015_runtime 14.36.32532 h05e6639_17 conda-forge
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
xerces-c 3.2.4 h63175ca_2 conda-forge
xz 5.2.6 h8d14728_0 conda-forge
zlib 1.2.13 hcfcfb64_5 conda-forge
zstd 1.5.2 h12be248_7 conda-forge
The conda info lines:
(rasterio_39) PS C:\Users\rbraun> conda info
active environment : rasterio_39
active env location : C:\Users\rbraun\Anaconda3\envs\rasterio_39
shell level : 2
user config file : C:\Users\rbraun\.condarc
populated config files : C:\Users\rbraun\.condarc
conda version : 23.5.0
conda-build version : 3.25.0
python version : 3.8.17.final.0
virtual packages : __archspec=1=x86_64
__cuda=12.1=0
__win=0=0
base environment : C:\Users\rbraun\Anaconda3 (writable)
conda av data dir : C:\Users\rbraun\Anaconda3\etc\conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/conda-forge/win-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : C:\Users\rbraun\Anaconda3\pkgs
C:\Users\rbraun\.conda\pkgs
C:\Users\rbraun\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\rbraun\Anaconda3\envs
C:\Users\rbraun\.conda\envs
C:\Users\rbraun\AppData\Local\conda\conda\envs
platform : win-64
user-agent : conda/23.5.0 requests/2.31.0 CPython/3.8.17 Windows/10 Windows/10.0.19045 solver/libmamba conda-libmamba-solver/23.5.0 libmambapy/1.4.7
administrator : False
netrc file : None
offline mode : False
Note that I managed to make it work for ages, and now somehow it breaks 🤷♂️
I tried again with conda 3.27.+
The same environment as above still fails. However, with:
name: rasterio_39
channels:
- conda-forge
dependencies: # everything under this, installed by conda
- python=3.9
- gdal
- rasterio>1.3.0
I get:
How come I need to import osgeo first to make it work ? Somebody knows ?
If importing osgeo before rasterio works for you it is a sign that you have some mixed installation. Maybe some packages from PyPI or an external installation of gdal.
I just tested taht env file on a fresh Windows machine, new miniforge installation, and everything works as expected.
Everything is done on a fresh conda install sadly… as you see there is nothing install via pip as stated in the yaml And everything worked and sudenly broke with conda 3.25.0 🤔 This is what is confusing!
Everything is done on a fresh conda install sadly…
You can still have some external gdal installation on your machine.
You are exactly right, it was a QGIS install that was messing with the rasterio's conda installation 😓 Maybe the versions of the two GDALs were the same before and now a discrepancy has appeared ?
However this is not ideal for us 😢 Our usecase needs the GDAL tools to be used in our everyday terminal. We managed it by setting our QGIS/bin in the path and everything worked fine. However this now messes with our Python environments. Do you have any workaround about that (except for activating a conda env with gdal inside) ?
Do you have any workaround about that (except for activating a conda env with gdal inside) ?
I'm not an expert on QGIS but most folks I know use the one provided by conda-forge to avoid those incompatibilities.
If you need features that are not in the QGIS available in conda-forge, then you'll have to figure out a way to isolate them to avoid this conflict.
Solution to issue cannot be found in the documentation.
Issue
Error as above, stack:
Seems to be running into trouble with
._version
. Local filename of this in sitepackages is_version.cp38-win_amd64.pyd
. I have tried multiple versions of python, all with fresh installs and environments. Any help would be appreciated.All instruction steps followed for install.
Installed packages
Environment info