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        "author": "QuantumBlack Labs",
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        "description": "# QB Styles\n\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n[![Python Version](https://img.shields.io/pypi/pyversions/qbstyles.svg)](https://pypi.org/project/qbstyles/)\n[![PyPI version](https://badge.fury.io/py/qbstyles.svg)](https://pypi.org/project/qbstyles/)\n[![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)\n\nQB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style.\n\nDark style | Light style\n|-----------|----------- |\n| ![Line plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/line.png?raw=true \"Line plot\") | ![Distribution plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/distribution_light.png?raw=true \"Distribution plot\") |\n\n## How do I install QB Styles?\n\n`qbstyles` is a Python package. To install it, simply run:\n\n\n```bash\npip install qbstyles\n```\n\n## How do I use QB Styles?\n\nYou can use the dark Matplotlib style theme in the following way:\n\n```python\nfrom qbstyles import mpl_style\n\nmpl_style(dark=True)\n```\n\nAnd to use the light Matplotlib style theme, you can do the following: \n\n```python\nfrom qbstyles import mpl_style\n\nmpl_style(dark=False)\n```\n\n### How do I use QB Styles in Jupyter Notebooks?\n\n> \u26a0\ufe0f Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details.\n\n```python\n# first cell\nfrom qbstyles import mpl_style\n```\n```python\n# second cell\nmpl_style()\n```\n\n## What chart types can use QB Styles?\n\n- Line plots\n- Scatter plots\n- Bubble plots\n- Bar charts\n- Pie charts\n- Histograms and distribution plots\n- 3D surface plots\n- Stream plots\n- Polar plots\n\n## Can you show me a few examples?\n\nTo run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice.\n\n```python\nimport matplotlib.pyplot as plt\nfrom qbstyles import mpl_style\n\ndef plot(dark):\n    mpl_style(dark)\n    fig, axes = plt.subplots(2, 2, figsize=(15, 10))\n\n    # the following functions are defined in example.ipynb \n    line_plot(axes[0, 0])\n    scatter_plot(axes[0, 1])\n    distribution_plot(axes[1, 0])\n    ax = plt.subplot(2, 2, 4, projection='polar')\n    polar_plot(ax)\n\nplot(dark=True)\n```\n\n![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_6_0.png?raw=true)\n\n```python\nplot(dark=False)\n```\n\n![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_7_0.png?raw=true)\n\n## How do I create my own styles? \n\nHave a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise.\n\nTo do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows:\n\n```python\nimport matplotlib.pyplot as plt\nfrom qbstyles import mpl_style\n\nmpl_style()\nplt.style.use('./your-style.mplstyle')\n```\n\nAll of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file).\n\n## What licence do you use?\n\nQB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).\n\n\n",
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