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        "description": "# plottingtools\nA collection of tools that I use for plotting often enough (or with enough\ncomplexity) to necessitate creating a useful API.\n\n\n## Overview\n---\nThis package is intended to make plotting as easy as possible for simple data\nscience visualizations. It's essentially a wrapper around matplotlib and is\ndesigned to simplify the process of creating quick plots. While it's certainly\nnot as powerful as using matplotlib directly, it hopefully makes it a lot\neasier to display information quickly.\n\nThis package does not rely on (or currently support) pandas `DataFrames`, and\nexpects data to be in vector form (ideally a numpy `ndarray`). \n\n\n## What's new?\n---\n### v1.0.0\n- Object-oriented model for plotting\n- More useful utilities\n- Support for line plots\n- Examples for line plots\n- Better organization of examples\n\n\n## Functionality\n---\nCurrently, this package does the following:\n- Display data as bars on a single plot\n    - Single/multi color\n    - Scaled by a scalar or broadcastable array-like object\n    - Shown as percentages\n    - Text:\n        - Titles\n        - legends\n        - X-axis labels\n        - over-bar labels\n    - Examples:\n        located in plottingtools/examples/bars\n- Display line plots\n    - Single or multiple lines\n    - Formatting options for each line\n    - Labeling\n    - Titles\n    - Simple formatting of the figure\n\n\n## Installation\n` pip install plottingtools `\n\n\n## Updates and contribution\nKeep your eyes here to see updates. Please submit issues or PRs as you see fit.\n\n\n\n",
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