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        "author": "Yi-Xin Liu",
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            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Education",
            "Topic :: Scientific/Engineering"
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        "description": "mpltex\n======\n\n``mpltex`` is a python package for producing publication quality images using ``matplotlib``.\nInspired by `Olga Botvinnik <http://olgabotvinnik.com/>`_'s python package `prettyplotlib <https://github.com/olgabot/prettyplotlib>`_.\n\nThe internal ``matplotlib`` color cycle is replaced by Tableau classic 10 color scheme which looks less saturated and more pleasing to eyes.\nOther available color schemes for multi-line plots are ColorBrewer Set 1 and Tableau classic 20.\nFor more information on these color schemes, see `documentation of palettable <https://jiffyclub.github.io/palettable>`_.\n\n``mpltex`` also provide a way to generate highly configurable line styles with colors, line types, and line markers.\nHollow markers are supported.\n\nQuickstart\n----------\n\n1. Install\n^^^^^^^^^^\n\n::\n\n    $ pip install mpltex\n\n**Required Packages**\n\n-  `matplotlib <http://matplotlib.org/>`_. Can be installed via\n   ``pip install matplotlib``.\n-  `palettable <https://github.com/jiffyclub/palettable>`_. Can be\n   installed via ``pip install palettable``.\n\n2. Usage\n^^^^^^^^\n\nExamples and sample plots can be found `here <http://www.yxliu.group/2014/09/mpltex>`_.\n\nTo use `mpltex`, just add one of ``mpltex`` decorators before your plot functions.\n\n.. code:: python\n\n    import mpltex\n\n    @mpltex.acs_decorator\n    def myplot():\n        # plot images by matplotlib ...\n\n        # Save the image. Give a file name without extension.\n        # You can also save figure outside your_plot if you like.\n        fig.save_fig('/path/to/save/fig/figname')\n\n    # Then use your_plot in a normal way.\n    myplot()\n\nAnd it will create a plot ready for publishing in journals published by American Chemical Society (ACS).\n\n**Available Decorators**\n\n* ``mpltex.acs_decorator``: output EPS images for publishing in ACS (American Chemical Society).\n* ``mpltex.aps_decorator``: output EPS images for publishing in APS (American Physical Society).\n* ``mpltex.rsc_decorator``: output EPS images for publishing in RSC (Royal Society of Chemistry).\n* ``mpltex.presentation_decorator``: output PDF images for presentation slides (Keynote).\n* ``mpltex.web_decorator``: output PNG images for web pages.\n\n``mpltex`` also provides several helper functions to facilitate production of specific type of images.\nFollowing codes will produce a set of line arts with cycled line styles with the help of ``mpltex.linestyle_generator`` function.\nNote that since version 0.5, ``linestyles`` is a shorthand for ``linestyle_generator``.\n\n.. code:: python\n\n    import matplotlib.pyplot as plt\n    import mpltex\n\n    @mpltex.acs_decorator\n    def myplot():\n        # ...   # generate data x and y\n        fig, ax = plt.subplots(111)\n\n        # The default line style is iterating over\n        # color, line, and marker with hollow types.\n        linestyles = mpltex.linestyles()\n        # equivalently\n        # linestyles = mpltex.linestyle_generator()\n\n        for i in range(number_of_lines):\n            ax.plot(x[i], y[i], label=str(i), **next(linestyles)\n\n        ax.locator_params(nbins=5)  # limit the number of major ticks\n        ax.legend(loc='best')  # show legend in a best location\n        fig.tight_layout(pad=0.1)  # make layout as tight as possible\n        fig.savefig('/path/to/save/fig/figname')\n\nContribute\n----------\n\nFork the project at `github.com <https://github.com/liuyxpp/mpltex>`_ and file a pull request.\n\nLinks\n-----\n\n* `Yi-Xin Liu's personal academic website <http://www.yxliu.group>`_\n* `Development version at github.com <https://github.com/liuyxpp/mpltex>`_\n",
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