I would suggest you to recreate your env but when doing conda install qcodes do conda install qcodes python=3. There is not (for the moment) Spyder packages on conda (neither on the default channel or the conda-forge channel) compatible with Python 3.10. Assuming your conda-env is named cenv, it is as simple as : conda activate cenv (cenv) conda install ipykernel (cenv) ipython kernel install -user. Seems like you have python 3.10 in you qcodes env.
#Conda install imagemagick update
I get the same with conda update anaconda Prefix: C:\Users\nr2-roberts\.conda\envs\qcodes PackageNotInstalledError: Package is not installed in prefix. As far as I can tell, I have the necessary conda packages installed: conda list libpng libpng 1.6.34 0 conda-forge conda list imagemagick imagemagick 7.0.7 pl5.22.2.12 conda-forge I wonder if there is something fishy going on with the shared object files / linking that occurs at run time. I tried to update conda using, conda update condaĪnd got. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Solving environment: failed with initial frozen solve. The default installation directory is similar to C:\Program Files\ImageMagick-5.5.3-Q16.
#Conda install imagemagick free
Approximately 13MB of free disk space is required to install ImageMagick. However, to use the pretext/pretext script to create SVG images from sources like PDF/PNG images, Sage, Asymptote, or TikZ, you need to install ImageMagick. Or you can simply install Wand and its entire dependencies using the package manager of your system (it’s way convenient but the version might be outdated): Debian/Ubuntu. Select Destination Directory Specify what drive and directory to install ImageMagick into. Which gives me the following error, Collecting package metadata (current_repodata.json): done Wand is a Python binding of ImageMagick, so you have to install it as well: Debian/Ubuntu. Once that is finished, we can activate & run.I have created a conda environment for qcodes using the Anaconda prompt as follows, conda create -n qcodesĬonda config -add channels conda-forge -envĬonda config -set channel_priority strict -envĪs Spyder isn't in the environment I tried to install using, conda install spyder Every now and then you will run into packages that should be installed using pip and if you started you Python journey completely with Anaconda this might be confusing. It usually goes something like this: conda install libraryname. if xTESTALL xyes conda install -q ffmpeg inkscape miktex pillow missing packages on conda-forge for avconv imagemagick This install sometimes. convert -version Version: ImageMagick 7.0.8-35 Q16 x8664. This kinda works but generates two warnings that don’t seem to impact the tools (but perhaps I haven’t use specific functions that depend on these) cellprofiler 3.1.8 has requirement prokaryote=2.4.1, but you'll have prokaryote 2.4.0 which is incompatible.Ĭellprofiler 3.1.8 has requirement python-bioformats=1.5.2, but you'll have python-bioformats 1.4.0 which is incompatible. Lots of major Python packages have instructions to install with Anaconda. Clojupyter development cmdline command: Build a conda installation package for. While debugging you can also use : (to update) conda env update -f environment.yml # in order of priority: highest (top) to lowest (bottom)Īfter this, make the environment using : (will take a while) conda env create -f environment.yml # run: conda env update -f environment.yml wget Ĭhmod 755 Miniconda2-latest-Linux-x86_64.sh Install CellProfilerįinally we are ready to try the installation Create a directory “cellprofiler” (not specific) mkdir cellprofilerĮnvironment.yml should contain (using nano, vi, vim, emacs,…) # run: conda env create -f environment.yml
Get the latest version for Linux 64bit (or other) and make it executable On Centos python 2.7 is default, and I believe it is required for CellProfiler. yum install java-1.8.0-openjdk java-1.8.0-openjdk-devel bzip2 mariadb-devel libstdc++-devel gcc-c++ gtk2 ImageMagick ImageMagick-develĪnother issue is that the installation requires is libjbig.so.0 which can not be found, however jbigkit-libs provides libjbig.so.2.0 which can be soft-linked and it will then work cd /usr/lib64/
I don’t know if these are all the dependencies but at some point I had to install them. This is just a documentation of how I got it working. Install CellProfiler on Centos 7.6 using conda.ĬellProfiler is not an easy to install tool or perhaps I was clumsy on the first attempt (building from source) but I could not get it to work properly on a Linux machine After another attempt using miniconda, I managed to get it running.
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