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        "author": "Yoel Cortes-Pena",
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        "description": "=================\narray_collections\n=================\n\n.. image:: http://img.shields.io/pypi/v/array_collections.svg?style=flat\n   :target: https://pypi.python.org/pypi/array_collections\n   :alt: Version_status\n.. image:: http://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat\n   :target: https://array_collections.readthedocs.io/en/latest/\n   :alt: Documentation\n.. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat\n   :target: https://github.com/yoelcortes/array_collections/blob/master/LICENSE.txt\n   :alt: license\n\n\n.. contents::\n\nWhat is array_collections?\n--------------------------\n\narray_collections is a collection of numpy ndarray subclasses. Each array class serves an unrelated but broad purpose of its own. This package features 3 types of arrays: material_array, tuple_array, and property_array.\n\nInstallation\n------------\n\nGet the latest version of array_collections from\nhttps://pypi.python.org/pypi/array_collections/\n\nIf you have an installation of Python with pip, simple install it with:\n\n    $ pip install array_collections\n\nTo get the git version, run:\n\n    $ git clone git://github.com/yoelcortes/array_collections\n\nDocumentation\n-------------\n\narray_collections's documentation is available on the web:\n\n    http://array_collections.readthedocs.io/\n\nGetting started\n---------------\n\nA **material_array** issues a RuntimeWarning when a non-positive or non-finite value is encountered.\n\nCreate material_array:\n\n.. code-block:: python\n    \n   >>> arr = material_array([1, 18])\n   material_array([1, 18])\n           \nA negative value issues a RuntimeWarning:\n           \n.. code-block:: python\n         \n   >>> arr[1] = -1\n   __main__:1: RuntimeWarning:\n   Encountered negative or non-finite value in 'material_array' object.\n\nNew arrays are normal numpy arrays:\n\n.. code-block:: python\n         \n   >>> arr + 1\n   array([2, 19])\n\nA **tuple_array** is an immutable and hashable array:\n\nCreate a tuple_array object:\n            \n.. code-block:: python\n    \n   >>> arr = tuple_array([1, 18])\n   tuple_array([1, 18])\n   \ntuple_array objects are immutable:\n\n.. code-block:: python\n   \n   >>> arr[1] = 0\n   TypeError: 'tuple_array' objects are immutable.\n            \ntuple_array objects are hashable:\n\n.. code-block:: python\n            \n   >>> hash(arr)\n   3713080549427813581\n\nNew arrays are normal numpy arrays:\n\n.. code-block:: python\n         \n   >>> arr + 1\n   array([2, 19])\n     \nA **property_array** allows for array-like manipulation of property objects. All entries in a property_array must be instances of FreeProperty. Setting items of a property_array sets values of Property objects instead.\n\nUse the PropertyFactory to create a Weight property class which calculates weight based on density and volume:\n    \n.. code-block:: python\n        \n   >>> from array_collections import PropertyFactory\n   >>>        \n   >>> @PropertyFactory\n   >>> def Weight(self):\n   ...    '''Weight (kg) based on volume (m^3).'''\n   ...    data = self.data\n   ...    rho = data['rho'] # Density (kg/m^3)\n   ...    vol = data['vol'] # Volume (m^3)\n   ...    return rho * vol\n   >>>\n   >>> @Weight.setter\n   >>> def Weight(self, weight):\n   ...    data = self.data\n   ...    rho = data['rho'] # Density (kg/m^3)\n   ...    data['vol'] = weight / rho\n           \nCreate dictionaries of data and initialize new properties:\n       \n.. code-block:: python\n       \n   >>> water_data = {'rho': 1000, 'vol': 3}\n   >>> ethanol_data = {'rho': 789, 'vol': 3}\n   >>> weight_water = Weight('Water', water_data)\n   >>> weight_ethanol = Weight('Ethanol', ethanol_data)\n   >>> weight_water\n   Weight(Water) -> 3000 (kg)\n   >>> weight_ethanol\n   Weight(Ethanol) -> 2367 (kg)\n          \nCreate a property_array from data:\n           \n.. code-block:: python\n       \n   >>> prop_arr = property_array([weight_water, weight_water])\n   property_array([3000, 2367])\n           \nChanging the values of a property_array changes the value of its properties:\n           \n.. code-block:: python\n       \n   >>> # Addition in place\n   >>> prop_arr += 3000\n   >>> prop_arr\n   property_array([6000, 5367])\n   >>> # Note how the data also changes\n   >>> water_data\n   {'rho': 1000, 'vol': 6.0}\n   >>> ethanol_data\n   {'rho': 789, 'vol': 6.802281368821292}\n   >>> # Setting an item changes the property value\n   >>> prop_arr[1] = 2367\n   >>> ethanol_data\n   {'rho': 789, 'vol': 3}\n          \nNew arrays have no connection to the property_array:\n           \n.. code-block:: python\n       \n   >>> prop_arr - 1000 #  Returns a new array\n   array([5000.0, 1367.0], dtype=object)\n   >>> water_data #  Data remains unchanged\n   {'rho': 1000, 'vol': 6.0}\n      \nA representative DataFrame can also be made from the property_array:\n           \n.. code-block:: python\n       \n   >>> prop_arr.table()\n           Weight (kg)\n   Water        6000.0\n   Ethanol      2367.0\n           \n.. Note:: The DataFrame object contains the values of the properties, not the FreeProperty objects as a property_array would.\n\nLatest source code\n------------------\n\nThe latest development version of array_collections's sources can be obtained at:\n\n    https://github.com/yoelcortes/array_collections\n\n\nBug reports\n-----------\n\nTo report bugs, please use the array_collections' Bug Tracker at:\n\n    https://github.com/yoelcortes/array_collections\n\nLicense information\n-------------------\n\nSee ``LICENSE.txt`` for information on the terms & conditions for usage\nof this software, and a DISCLAIMER OF ALL WARRANTIES.\n\nAlthough not required by the array_collections' license, if it is convenient for you,\nplease cite array_collections if used in your work. Please also consider contributing\nany changes you make back, and benefit the community.\n\n\nCitation\n--------\n\nTo cite array_collections in publications use::\n\n    Yoel Cortes-Pena (2019). array_collections: A collection of numpy ndarray subclasses.\n    https://github.com/yoelcortes/array_collections\n",
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