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        "author": "zktuong",
        "author_email": "kt16@sanger.ac.uk",
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        "description": "# kelvinnypy\nIt is pronounced 'kelvinny-pee'\n\n## Intro\nHi there! I've put together the following python script/package for some work stuff!\n\n## Requirements\npython 3.7\n\n## Installation instructions\n```bash\n# using pip\npip install kelvinnypy\n\n# or using conda\nconda install -c kt16 kelvinnypy\n```\n\n## Main function (well, only function)\n### h5totxt\nTogether with another R function in zktuong/kelvinny (kelvinny::mtx_to_h5, or in a combined wrapper - kelvinny::mtx_to_h5totxt), this python script helps to parse large matrices in R to .h5 to .txt format. This packages are extremely light weight and should be relatively quick and easy to install and use. Have fun!\n\n## Usage\nI've created this as an executable that you can use directly via the terminal/console\n```bash\n# bash\nh5totxt counts.h5\n\n# for help,\nh5totxt -h\n```\n\nYou can also download the file called h5convert.py and call it in terminal via python\n```bash\n# bash\npython ./path/to/kelvinnypy.py counts.h5\n```\n\nOr use in R via reticulate\n```R\n# R\nreticulate::repl_python()\n```\n```python\n# python\nimport kelvinnypy as kp\nkp.h5totxt(\"counts.h5\")\n# or\nkp.h5totxt(\"counts.h5\", \"new_counts.txt\")\n```\nor\n```R\n# R\nlibrary(reticulate)\nkp <- import(\"kelvinnypy\")\nkp$h5totxt(\"counts.h5\")\n```\n\nor even as a complete workflow with the the R function\n```R\n# devtools::install_github('zktuong/kelvinny', dependencies = TRUE)\nmat <- matrix(rexp(2e8, rate=.1), ncol=20000, dimnames = list(paste0(\"gene\", 1:10000), paste0(\"cell\", 1:20000)))\ndim(mat)\n# [1] 10000 20000\n\n# try this!\nmtx_to_h5totxt(mat, \"mat\")\n\n```\n\n\n",
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        "name": "kelvinnypy",
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        "summary": "A python script to convert large matrices stored as .h5 to .txt",
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