Plotfingerprint na to nan #1002
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Cleaner commit history now, and now weird incidental extra changes that I didn't introduce. A fresh start is just better and less confusing than |
lparsons
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NA strings output correctly in deeptools/deepTools#1002
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NA strings output correctly in deeptools/deepTools#1002
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<!-- Ensure that the PR title follows conventional commit style (<type>: <description>)--> <!-- Possible types are here: https://github.com/commitizen/conventional-commit-types/blob/master/index.json --> Wrapper previously failed if the optional output `qc_metrics` was not supplied due to NA replacement code that was not in a conditional. The code is no longer required since NA strings are now output correctly in deeptools/deepTools#1002 <!-- Add a description of your PR here--> ### QC <!-- Make sure that you can tick the boxes below. --> * [x] I confirm that: For all wrappers added by this PR, * there is a test case which covers any introduced changes, * `input:` and `output:` file paths in the resulting rule can be changed arbitrarily, * either the wrapper can only use a single core, or the example rule contains a `threads: x` statement with `x` being a reasonable default, * rule names in the test case are in [snake_case](https://en.wikipedia.org/wiki/Snake_case) and somehow tell what the rule is about or match the tools purpose or name (e.g., `map_reads` for a step that maps reads), * all `environment.yaml` specifications follow [the respective best practices](https://stackoverflow.com/a/64594513/2352071), * the `environment.yaml` pinning has been updated by running `snakedeploy pin-conda-envs environment.yaml` on a linux machine, * wherever possible, command line arguments are inferred and set automatically (e.g. based on file extensions in `input:` or `output:`), * all fields of the example rules in the `Snakefile`s and their entries are explained via comments (`input:`/`output:`/`params:` etc.), * `stderr` and/or `stdout` are logged correctly (`log:`), depending on the wrapped tool, * temporary files are either written to a unique hidden folder in the working directory, or (better) stored where the Python function `tempfile.gettempdir()` points to (see [here](https://docs.python.org/3/library/tempfile.html#tempfile.gettempdir); this also means that using any Python `tempfile` default behavior works), * the `meta.yaml` contains a link to the documentation of the respective tool or command, * `Snakefile`s pass the linting (`snakemake --lint`), * `Snakefile`s are formatted with [snakefmt](https://github.com/snakemake/snakefmt), * Python wrapper scripts are formatted with [black](https://black.readthedocs.io). * Conda environments use a minimal amount of channels, in recommended ordering. E.g. for bioconda, use (conda-forge, bioconda, nodefaults, as conda-forge should have highest priority and defaults channels are usually not needed because most packages are in conda-forge nowadays). --------- Co-authored-by: Filipe G. Vieira <[email protected]>
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<!-- Ensure that the PR title follows conventional commit style (<type>: <description>)--> <!-- Possible types are here: https://github.com/commitizen/conventional-commit-types/blob/master/index.json --> Wrapper previously failed if the optional output `qc_metrics` was not supplied due to NA replacement code that was not in a conditional. The code is no longer required since NA strings are now output correctly in deeptools/deepTools#1002 <!-- Add a description of your PR here--> ### QC <!-- Make sure that you can tick the boxes below. --> * [x] I confirm that: For all wrappers added by this PR, * there is a test case which covers any introduced changes, * `input:` and `output:` file paths in the resulting rule can be changed arbitrarily, * either the wrapper can only use a single core, or the example rule contains a `threads: x` statement with `x` being a reasonable default, * rule names in the test case are in [snake_case](https://en.wikipedia.org/wiki/Snake_case) and somehow tell what the rule is about or match the tools purpose or name (e.g., `map_reads` for a step that maps reads), * all `environment.yaml` specifications follow [the respective best practices](https://stackoverflow.com/a/64594513/2352071), * the `environment.yaml` pinning has been updated by running `snakedeploy pin-conda-envs environment.yaml` on a linux machine, * wherever possible, command line arguments are inferred and set automatically (e.g. based on file extensions in `input:` or `output:`), * all fields of the example rules in the `Snakefile`s and their entries are explained via comments (`input:`/`output:`/`params:` etc.), * `stderr` and/or `stdout` are logged correctly (`log:`), depending on the wrapped tool, * temporary files are either written to a unique hidden folder in the working directory, or (better) stored where the Python function `tempfile.gettempdir()` points to (see [here](https://docs.python.org/3/library/tempfile.html#tempfile.gettempdir); this also means that using any Python `tempfile` default behavior works), * the `meta.yaml` contains a link to the documentation of the respective tool or command, * `Snakefile`s pass the linting (`snakemake --lint`), * `Snakefile`s are formatted with [snakefmt](https://github.com/snakemake/snakefmt), * Python wrapper scripts are formatted with [black](https://black.readthedocs.io). * Conda environments use a minimal amount of channels, in recommended ordering. E.g. for bioconda, use (conda-forge, bioconda, nodefaults, as conda-forge should have highest priority and defaults channels are usually not needed because most packages are in conda-forge nowadays). --------- Co-authored-by: Filipe G. Vieira <[email protected]>
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Welcome to deepTools GitHub repository! Please check the following regarding
your pull request :
Fresh start from the develop branch (compare PRs #999 and #1000 )
This problem came up when parsing the OutputQualityMetrics txt output file downstream when it contains the
NAvalues in columns. To be exact, the conversion tofloat()in the multiqc module throws an error and leads to the respective plot being skipped. The conversion that fails is this line:https://github.com/ewels/MultiQC/blob/9760f7561a56c1295a661471d7447abd085b8020/multiqc/modules/deeptools/plotFingerprint.py#L110
According to the documentation of
float(), this should instead readnanto be parsed correctly. And this is whatprint(numpy.NAN)gives (also see numpy.NAN docs and what is used elsewhere in deeptools (a quick grep on thedeeptools/directory did not give any other results for"NA").