معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

A library of convenient utility functions and pure Python data structures.

ویژگی	مقدار
سیستم عامل	-
نام فایل	ConvUtils-2.0
نام	ConvUtils
نسخه کتابخانه	2.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Christopher D. Lasher
ایمیل نویسنده	chris.lasher@gmail.com
آدرس صفحه اصلی	http://pypi.python.org/pypi/ConvUtils/
آدرس اینترنتی	https://pypi.org/project/ConvUtils/
مجوز	MIT License

********* ConvUtils ********* ConvUtils provides a small library of convenience functions for dealing with a variety of tasks, such as creating CSV readers and writers, and convenient data structures, such as a two-way dictionary. This package provides two modules: ``utils`` and ``structs``. Typically, the user will want to import one or the other, e.g. :: from convutils import utils ##### utils ##### ``utils`` provides the following classes: * ``SimpleTsvDialect`` is similar to the ``csv.excel_tab`` dialect, but uses the newline character (``'\n'``) as the line separator, and does no special quoting, giving a more Unix-friendly TSV (tab-separated values) format. (*New in v2.0: formerly ExcelTabNewlineDialect.*) ``utils`` also provides the following functions: * ``make_csv_reader`` creates a ``csv.DictReader`` or ``csv.Reader`` instance with the convenience of the user not having to explicitly specify the CSV dialect. * ``make_simple_tsv_reader`` is similar to ``make_csv_reader``, but always uses ``SimpleTsvDialect``. (*New in v2.0.*) * ``make_csv_dict_writer`` creates a ``csv.DictWriter`` instance with the convenience of not having to manually enter the header row yourself; uses ``csv.excel`` as the dialect, by default. * ``make_simple_tsv_dict_writer`` is similar to ``make_csv_dict_writer``, but uses the ``SimpleTsvDialect`` instead. (*New in v2.0.*) * ``append_to_file_base_name`` will return a modified file name given an original one and a string between the base name and the extension (e.g., ``append_to_file_base_name('myfile.txt', '-2')`` returns ``'myfile-2.txt'``). * ``count_lines`` counts the number of lines in a file. * ``split_file_by_parts`` takes one large file and splits it into new files, the maximum number of which is given by the user. * ``split_file_by_num_lines`` takes one large file and splits it into new file, the maximum number of lines in each being defined by the user. * ``column_args_to_indices`` takes a string representing desired columns (e.g., ``'1-4,6,8'``) and converts it into actual indices and slices of an indexable Python sequence. * ``cumsum`` produces the cumulative sum of any iterable whose elements support the add operator. (*New in v1.1.*) ####### structs ####### ``structs`` provides two convenient data structures, both specialized subclasses of Python's ``dict``. * ``SortedTupleKeysDict`` is a dictionary which expects 2-tuples as keys, and will always sort the tuples, either when setting or retrieving values. * ``TwoWaySetDict`` is a dictionary that assumes the values are sets, and will store a reverse lookup dictionary to tell you, for each set in the values that some item belongs to, the keys with which item is associated. ``structs`` also provides two functions for sampling Python dictionaries whose values are lists: * ``sample_list_dict`` is like ``random.sample`` but for dictionaries whose values are lists or other enumerable, iterable container types. (*New in v1.1; relocated to* ``structs`` *in v2.0.*) * ``sample_list_dict_low_mem`` is similar to ``sample_list_dict`` but has a lower memory consumption for larger dictionaries. (*New in v1.1; relocated to* ``structs`` *in v2.0.*) ############ Installation ############ Installation is easy with `pip`_; simply run :: pip install ConvUtils .. _pip: http://pypi.python.org/pypi/pip ############ Availability ############ * PyPI page: http://pypi.python.org/pypi/ConvUtils/ * GitHub project page: https://github.com/gotgenes/python-ConvUtils ######### CHANGELOG ######### v2.0 ==== * Refactored code for Python 3 compatibility via 2to3 during installation. * Dropped compatibility for Python 2 versions less than 2.7. * Added dependency on `mock`_ for unit tests. This dependency is satisfied by the standard library for Python 3.3 and newer. * Renamed ``convutils.convutils`` to ``convutils.utils``; renamed ``convutils.convstructs`` to ``convutils.structs``. * Added unit tests for ``convutils.utils``. * Renamed ``ExcelTabNewlineDialect`` to ``SimpleTsvDialect``, and changed its quoting style to no quoting. * Refactored ``make_csv_reader`` and ``make_simple_tsv_dict_writer`` to use the ``csv.excel`` dialect by default, to be more in line with the standard library. Added new functions ``make_simple_tsv_reader`` and ``make_simple_tsv_dict_writer`` for the previous functionality. * Renamed the ``headers`` parameter to ``header`` for ``make_csv_reader`` and ``make_simple_tsv_reader``. * Changed the signatures of ``split_file_by_num_lines`` and ``split_file_by_parts``. The functions now accept a file handle instead of a file name. The parameter ``has_header`` has been renamed ``header``. Added two new parameters, ``pad_file_names`` and ``num_lines_total``. If ``pad_file_names`` is ``True``, the numerical portion of the output file names will be zero-padded. If ``num_lines_total`` is provided in addition to ``pad_file_names``, ``split_file_by_num_lines`` and ``split_file_by_parts`` will skip counting the number of lines in the file, itself, which can save time. * ``SortedTupleKeysDict`` and ``TwoWaySetDict`` now subclass ``collections.MutableMapping`` instead of ``dict`` directly due to the suggestions on best-practices from Stack Overflow: http://stackoverflow.com/questions/3387691/python-how-to-perfectly-override-a-dict * Relocated ``sample_list_dict`` and ``sample_list_dict_low_mem`` to ``convutils.structs``. * Added Sphinx-based documentation. .. _mock: http://www.voidspace.org.uk/python/mock/ v1.1 2012-03-23 =============== * Changed docstrings to use Sphinx info field lists. * Added ``cumsum`` * Added ``sample_list_dict`` and ``sample_list_dict_low_mem``. v1.0.1 2011-01-18 ================= * Added imports of modules into package __init__.py. v1.0 2011-01-10 =============== * Initial release.

نحوه نصب

نصب پکیج whl ConvUtils-2.0:

pip install ConvUtils-2.0.whl

نصب پکیج tar.gz ConvUtils-2.0:

pip install ConvUtils-2.0.tar.gz