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        "author": "Wouter De Coster",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
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        "description": "# nanoplotter\nThis module provides functions for plotting data extracted from Oxford Nanopore sequencing reads and alignments, but some of it's functions can also be used for other applications.\n\n[![Twitter URL](https://img.shields.io/twitter/url/https/twitter.com/wouter_decoster.svg?style=social&label=Follow%20%40wouter_decoster)](https://twitter.com/wouter_decoster)\n[![install with conda](https://anaconda.org/bioconda/nanoplotter/badges/installer/conda.svg)](https://anaconda.org/bioconda/nanoplotter)\n[![Build Status](https://travis-ci.org/wdecoster/nanoplotter.svg?branch=master)](https://travis-ci.org/wdecoster/nanoplotter)\n\n\n\n## FUNCTIONS\n* Check if a specified color is a valid matplotlib color `checkvalidColor(color)`  \n* Check if a specified output format is valid `checkvalidFormat(format)`  \n* Create a bivariate plot with dots, hexbins and/or kernel density estimates. Also arguments for specifying axis names, color and xlim/ylim. `scatter(x, y, names, path, color, format, plots, stat=None, log=False, minvalx=0, minvaly=0)`  \n* Create cumulative yield plot and evaluate read length and quality over time `timePlots(df, path, color, format)`  \n* Create length distribution histogram and density curve `lengthPlots(array, name, path, n50, color, format, log=False)`  \n* Create flowcell physical layout in numpy array `makeLayout()`  \n* Present the activity (number of reads) per channel on the flowcell as a heatmap `spatialHeatmap(array, title, path, color, format)`  \n\n\n## INSTALLATION\n```bash\npip install nanoplotter\n```\nor  \n[![install with conda](https://anaconda.org/bioconda/nanoplotter/badges/installer/conda.svg)](https://anaconda.org/bioconda/nanoplotter)\n```\nconda install -c bioconda nanoplotter\n```\n\n## CITATION\nIf you use this tool, please consider citing our [publication](https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/bty149/4934939).",
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