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"author": "Philippe Pinard",
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"Intended Audience :: Science/Research",
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"Programming Language :: Python :: 2",
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"description": "matplotlib-colorbar\n===================\n\n.. image:: https://travis-ci.org/ppinard/matplotlib-colorbar.svg\n :target: https://travis-ci.org/ppinard/matplotlib-colorbar\n\n.. image:: https://badge.fury.io/py/matplotlib-colorbar.svg\n :target: http://badge.fury.io/py/matplotlib-colorbar\n\n.. image:: https://codecov.io/github/ppinard/matplotlib-colorbar/coverage.svg?branch=master\n :target: https://codecov.io/github/ppinard/matplotlib-colorbar?branch=master\n\nProvides a new artist for matplotlib to display a colorbar,\ninstead of an axis as it is the default in matplotlib.\nThe position of the colorbar artist can be decided as for the legend.\n\n.. image:: https://raw.githubusercontent.com/ppinard/matplotlib-colorbar/master/doc/example1.png\n\nThe artist supports customization either directly from the *Colorbar* object or\nfrom the matplotlibrc.\n\nInstallation\n------------\n\nEasiest way to install using ``pip``::\n\n $ pip install matplotlib-colorbar\n\nFor development installation from the git repository::\n\n $ git clone git@github.com:ppinard/matplotlib-colorbar.git\n $ pip install -e matplotlib-colorbar\n\nExample\n-------\n\nHere is an example how to add a color bar::\n\n >>> import numpy as np\n >>> import matplotlib.pyplot as plt\n >>> import matplotlib.cbook as cbook\n >>> from matplotlib_colorbar.colorbar import Colorbar\n >>> plt.figure()\n >>> data = np.array(plt.imread(cbook.get_sample_data('grace_hopper.png')))\n >>> mappable = plt.imshow(data[...,0], cmap='viridis')\n >>> colorbar = Colorbar(mappable, location='lower left')\n >>> colorbar.set_ticks([0.0, 0.5, 1.0])\n >>> plt.gca().add_artist(colorbar)\n >>> plt.show()\n\nColorbar arguments\n------------------\n\nHere are parameters of the **Colorbar** class constructor.\n\n* ``mappable``: scalar mappable object which implements the methods *get_cmap* and *get_array* (default: ``None``, the mappable can be specified later)\n* ``label``: label on top of the color bar (default: ``None``, no label is shown)\n* ``orientation``: orientation, ``vertical`` or ``horizontal`` (default: ``vertical``)\n* ``length_fraction``: length of the color bar as a fraction of the axes's width (horizontal) or height (vertical) depending on the orientation (default: ``0.2``)\n* ``width_fraction``: width of the color bar as a fraction of the axes's height (horizontal) or width (vertical) depending on the orientation (default: ``0.02``)\n* ``location``: a location code (same as legend) (default: ``upper right``)\n* ``pad``: fraction of the font size (default: ``0.2``)\n* ``border_pad``: fraction of the font size (default: ``0.1``)\n* ``sep``: separation between color bar and label in points (default: ``5``)\n* ``frameon``: if True, will draw a box around the color bar (default: ``True``)\n* ``color``: color for the tick text and label (default: ``k``)\n* ``box_color``: color of the box (if *frameon*) (default: ``w``)\n* ``box_alpha``: transparency of box (default: ``1.0``)\n* ``font_properties``: font properties of the label text, specified either as dict or `fontconfig `_ pattern (XML).\n* ``ticks``: ticks location (default: minimal and maximal values)\n* ``ticklabels``: a list of tick labels (same length as ``ticks`` argument)\n* ``ticklocation``: location of the ticks: ``left`` or ``right`` for vertical oriented colorbar, ``bottom`` or ``top for horizontal oriented colorbar, or ``auto`` for automatic adjustment (``right`` for vertical and ``bottom`` for horizontal oriented colorbar). (default: ``auto``)\n\nmatplotlibrc parameters\n-----------------------\n\nHere are parameters that can be customized in the matplotlibrc file.\n\n* ``orientation``: orientation, ``vertical`` or ``horizontal`` (default: ``vertical``)\n* ``length_fraction``: length of the color bar as a fraction of the axes's width (horizontal) or height (vertical) depending on the orientation (default: ``0.2``)\n* ``width_fraction``: width of the color bar as a fraction of the axes's height (horizontal) or width (vertical) depending on the orientation (default: ``0.02``)\n* ``location``: a location code (same as legend) (default: ``upper right``)\n* ``pad``: fraction of the font size (default: ``0.2``)\n* ``border_pad``: fraction of the font size (default: ``0.1``)\n* ``sep``: separation between color bar and label in points (default: ``5``)\n* ``frameon``: if True, will draw a box around the color bar (default: ``True``)\n* ``color``: color for the tick text and label (default: ``k``)\n* ``box_color``: color of the box (if *frameon*) (default: ``w``)\n* ``box_alpha``: transparency of box (default: ``1.0``)\n* ``ticklocation``: location of the ticks (default: ``auto``)\n\nRelease notes\n-------------\n0.3.6\n^^^^^\n\n* Fix deprecated usage of is_string_like\n\n0.3.5\n^^^^^\n\n* Fix: UserWarning This call to matplotlib.use() has no effect (`#9 `_)\n\nContributors\n------------\n\n`@cphyc `_ and `@jnth `_\n\nLicense\n-------\n\nLicense under the BSD License, compatible with matplotlib.\n\nCopyright (c) 2015-2017 Philippe Pinard\n\n\n",
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