python version problem, package problem #3
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This looks like a good pull requests with tests. I added some comments.
@AndreasBauerGit what do you think?
README.md
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| If you want to use jupyterlab with black packge | ||
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| conda install jupyterlab jupyterlab_code_formatter black isort -c conda-forge |
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This reference to jupyterlab and black seems a bit out of place as we are nowhere else referencing to jupyterlab. So I guess if the user knows about jupyterlab and wants to use it they know how to install it.
README.md
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| ## Readme | ||
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| pyTFM is a python package that allows you to analyze force generation and stresses in cell colonies and confluent cell layers growing on a 2 dimensional surface. This package implements the procedures of [Traction Force Microscopy](https://www.ncbi.nlm.nih.gov/pubmed/11832345) and [Monolayer Stress Microscopy](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055172). In addition to the standard measures for stress and force generation, it | ||
| also includes the line tension, a measure for the force transfer exclusively across cell-cell boundaries. | ||
| pyTFM includes an addon for the image annotation tool [clickpoints](https://clickpoints.readthedocs.io/en/latest/) allowing you to quickly analyze and vizualize large datasets. | ||
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| Please refer to the [Documentation](https://pytfm.readthedocs.io/en/latest/) of pyTFM for detailed instructions on installation and usage. | ||
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| ## Conda enviroment creation | ||
| You need to create python 3.7 enviroment. |
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Is there a reason why to focus on python 3.7? Are newer python versions not supported.
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@martinschatz-cz Thanks a lot for this feedback! I will check out the pip package asap. Also your unit test are definitely a great idea. I will probably even add some more. I will take a deeper look into everything by the end of next week! |
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Hi, |
Hi @AndreasBauerGit,
I like your package, and we would like to test it a bit in our core facility. However, I was missing some info on how to actually make your package work (python version, simple tests, and so on). So I am adding my bit of information. In the end, I am using jupyter-lab, and everything works.
Also, you might want to know that your pip package is broken (probably because of scikit-image version), and correct_stage_drift function is not working unless you install the package from git.
Great work, guys! I love what you have done. The documentation and examples helped me a lot. I hope I will be able to add my bit to ease of use :)
Cheers,
Martin