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array_collections-0.1.9


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توضیحات

A collection of numpy ndarray subclasses.
ویژگی مقدار
سیستم عامل -
نام فایل array_collections-0.1.9
نام array_collections
نسخه کتابخانه 0.1.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Yoel Cortes-Pena
ایمیل نویسنده yoelcortes@gmail.com
آدرس صفحه اصلی https://github.com/yoelcortes/array_collections
آدرس اینترنتی https://pypi.org/project/array_collections/
مجوز MIT
================= array_collections ================= .. image:: http://img.shields.io/pypi/v/array_collections.svg?style=flat :target: https://pypi.python.org/pypi/array_collections :alt: Version_status .. image:: http://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat :target: https://array_collections.readthedocs.io/en/latest/ :alt: Documentation .. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat :target: https://github.com/yoelcortes/array_collections/blob/master/LICENSE.txt :alt: license .. contents:: What is array_collections? -------------------------- array_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. Installation ------------ Get the latest version of array_collections from https://pypi.python.org/pypi/array_collections/ If you have an installation of Python with pip, simple install it with: $ pip install array_collections To get the git version, run: $ git clone git://github.com/yoelcortes/array_collections Documentation ------------- array_collections's documentation is available on the web: http://array_collections.readthedocs.io/ Getting started --------------- A **material_array** issues a RuntimeWarning when a non-positive or non-finite value is encountered. Create material_array: .. code-block:: python >>> arr = material_array([1, 18]) material_array([1, 18]) A negative value issues a RuntimeWarning: .. code-block:: python >>> arr[1] = -1 __main__:1: RuntimeWarning: Encountered negative or non-finite value in 'material_array' object. New arrays are normal numpy arrays: .. code-block:: python >>> arr + 1 array([2, 19]) A **tuple_array** is an immutable and hashable array: Create a tuple_array object: .. code-block:: python >>> arr = tuple_array([1, 18]) tuple_array([1, 18]) tuple_array objects are immutable: .. code-block:: python >>> arr[1] = 0 TypeError: 'tuple_array' objects are immutable. tuple_array objects are hashable: .. code-block:: python >>> hash(arr) 3713080549427813581 New arrays are normal numpy arrays: .. code-block:: python >>> arr + 1 array([2, 19]) A **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. Use the PropertyFactory to create a Weight property class which calculates weight based on density and volume: .. code-block:: python >>> from array_collections import PropertyFactory >>> >>> @PropertyFactory >>> def Weight(self): ... '''Weight (kg) based on volume (m^3).''' ... data = self.data ... rho = data['rho'] # Density (kg/m^3) ... vol = data['vol'] # Volume (m^3) ... return rho * vol >>> >>> @Weight.setter >>> def Weight(self, weight): ... data = self.data ... rho = data['rho'] # Density (kg/m^3) ... data['vol'] = weight / rho Create dictionaries of data and initialize new properties: .. code-block:: python >>> water_data = {'rho': 1000, 'vol': 3} >>> ethanol_data = {'rho': 789, 'vol': 3} >>> weight_water = Weight('Water', water_data) >>> weight_ethanol = Weight('Ethanol', ethanol_data) >>> weight_water Weight(Water) -> 3000 (kg) >>> weight_ethanol Weight(Ethanol) -> 2367 (kg) Create a property_array from data: .. code-block:: python >>> prop_arr = property_array([weight_water, weight_water]) property_array([3000, 2367]) Changing the values of a property_array changes the value of its properties: .. code-block:: python >>> # Addition in place >>> prop_arr += 3000 >>> prop_arr property_array([6000, 5367]) >>> # Note how the data also changes >>> water_data {'rho': 1000, 'vol': 6.0} >>> ethanol_data {'rho': 789, 'vol': 6.802281368821292} >>> # Setting an item changes the property value >>> prop_arr[1] = 2367 >>> ethanol_data {'rho': 789, 'vol': 3} New arrays have no connection to the property_array: .. code-block:: python >>> prop_arr - 1000 # Returns a new array array([5000.0, 1367.0], dtype=object) >>> water_data # Data remains unchanged {'rho': 1000, 'vol': 6.0} A representative DataFrame can also be made from the property_array: .. code-block:: python >>> prop_arr.table() Weight (kg) Water 6000.0 Ethanol 2367.0 .. Note:: The DataFrame object contains the values of the properties, not the FreeProperty objects as a property_array would. Latest source code ------------------ The latest development version of array_collections's sources can be obtained at: https://github.com/yoelcortes/array_collections Bug reports ----------- To report bugs, please use the array_collections' Bug Tracker at: https://github.com/yoelcortes/array_collections License information ------------------- See ``LICENSE.txt`` for information on the terms & conditions for usage of this software, and a DISCLAIMER OF ALL WARRANTIES. Although not required by the array_collections' license, if it is convenient for you, please cite array_collections if used in your work. Please also consider contributing any changes you make back, and benefit the community. Citation -------- To cite array_collections in publications use:: Yoel Cortes-Pena (2019). array_collections: A collection of numpy ndarray subclasses. https://github.com/yoelcortes/array_collections


نحوه نصب


نصب پکیج whl array_collections-0.1.9:

    pip install array_collections-0.1.9.whl


نصب پکیج tar.gz array_collections-0.1.9:

    pip install array_collections-0.1.9.tar.gz