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        "author": "Martin Roelfs",
        "author_email": "martin.roelfs@kuleuven.be",
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            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "============\nDeconvoluted\n============\n\n\n.. image:: https://img.shields.io/pypi/v/deconvoluted.svg\n        :target: https://pypi.python.org/pypi/deconvoluted\n\n.. image:: https://img.shields.io/travis/tbuli/deconvoluted.svg\n        :target: https://travis-ci.org/tbuli/deconvoluted\n\n.. image:: https://readthedocs.org/projects/deconvoluted/badge/?version=latest\n        :target: https://deconvoluted.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n\n\nDeconvoluted makes performing numerical integral transforms simple and pythonic!\n\n\n* Free software: MIT license\n* Documentation: https://deconvoluted.readthedocs.io.\n\n\nFeatures\n--------\n\nFourier Transforms\n~~~~~~~~~~~~~~~~~~\n\nAs a first example, let's perform a Fourier transform:\n\n.. code-block:: python\n\n    t = np.linspace(0, 10, 201)\n    f = np.sin(3 * 2 * np.pi * t)\n    F, nu = fourier_transform(f, t)\n\nBy default, Fourier transforms use Fourier coefficients `a=0`,\n`b=-2\\pi`. Using another convention is simple:\n\n.. code-block:: python\n\n    F, omega = fourier_transform(f, t, convention=(-1, 1))\n\nAs a physicist myself, I therefore switch the labelling of the output from\n`\\nu` for frequency, to `\\omega` for angular frequency.\n\nPerforming multidimensional transforms is just as easy. For example:\n\n.. code-block:: python\n\n    F_pq, p, q = fourier_transform(f_xy, x, y)\n\ntransforms both `x` and `y` at the same time.\nTransforming only one of the two variables can be done simply by setting those\nthat shouldn't transform to ``None``:\n\n.. code-block:: python\n\n    F_py, p = fourier_transform(f_xy, x, None)\n    F_xq, q = fourier_transform(f_xy, None, y)\n\nSee the documentation for more examples!\n\n\n=======\nHistory\n=======\n\n0.1.1 (2019-06-05)\n------------------\n\n* Implemented support for different FT conventions.\n\n0.1.0 (2019-06-03)\n------------------\n\n* First release on PyPI.\n\n\n",
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