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        "author": "Jason L Weirather",
        "author_email": "jason.weirather@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "# pythologist-test-images\n\nImages for use in unit tests etc.\n\nList available datasets:\n\n```python\nfrom pythologist_test_images import TestImages\n\nprint(TestImages().datasets)\n```\n\n> ['IrisSpatialFeatures', 'Small', 'Tiny']\n\nget a path pointing to the dataset\n\n```python\npath = TestImages().raw('IrisSpatialFeatures')\nprint(path)\n```\n> '/Source/pythologist-test-images/data/IrisSpatialFeatures/Example'\n\nget a CellDataFrame pythologist object (requires pythologistreader and pythologist `pip install pythologist-test-images[h5]`)\n\n```python\ncdf = TestImages().celldataframe('Tiny')\ntdf = cdf.threshold('T-CELL','PD1').threshold('OTHER','PDL1').threshold('TUMOR','PDL1')\ntdf.loc[tdf['sample_name'].str.contains('I'),'project_name'] = 'SlideModelInfiltrated'\ntdf.loc[tdf['sample_name'].str.contains('E'),'project_name'] = 'SlideModelExcluded'\ntdf.loc[tdf['sample_name'].str.contains('U'),'project_name'] = 'SlideModelUniform'\ntdf['project_id'] = tdf['project_name']\n(ggplot(cnts,aes(x='sample_name',y='mean_density_mm2',\n                 ymin='mean_density_mm2+stderr_density_mm2',\n                 ymax='mean_density_mm2-stderr_density_mm2',fill='project_name'))\n + geom_bar(stat='identity')\n + geom_errorbar()\n + facet_wrap('phenotype_label',scales='free_y')\n + theme_bw()\n + theme(panel_spacing_x=0.5)\n + theme(figure_size=(6,6))\n)\n```\n\n![Image of counts](https://github.com/jason-weirather/pythologist-test-images/raw/master/images/counts.png?raw=true)\n\n\n",
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        "license": "Apache License, Version 2.0",
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