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        "description": "# Navigation Grid Visualization\n\nA lightweight Python3 library for visualizing high-dimensional data.\nIt is designed for experimental research on Navigation problems. However, the same APIs could be useful for a variety of applications.\n\nIt is built on Matplotlib with the goal provide an easy interface for 2D representation and annotation of high dimensional state spaces.\n\nFor instance, using just one line of code, this library could\n- Render n x n state space.\n- Label each state.\n- Enable state/feature level grid.\n- Draw trajectories\n- Visualize features such as one-hot indicator variable, vector, and RGB image.\n\n\n## Installation\n\nTo install current release with [pip](https://pypi.python.org/pypi/pip):\n\n    pip install navigation-vis\n\n\nTo install from source:\n\n    python setup.py install\n\n\n## Usage\nIf you're curious what it can do, check out some examples on\n\n### 1. Jupyter Notebook\n[Raster grid view](./navgridviews_raster.ipynb)\n\n### 2. Google Colab\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yrevar/navigation_vis/blob/main/navgridviews_raster.ipynb)\n\n### 3. My Binder\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/yrevar/navigation_vis/HEAD)\n\n\n",
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