A library of convenient utility functions and pure Python data structures.
Project description
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: convutils and convstructs. Typically, the user will want to import one or the other, e.g.:
from convutils import convutils
convutils
convutils provides the following classes:
ExcelTabNewlineDialect is similar to the csv.excel_tab dialect, but uses the newline character ('\n') as the line separator, giving a more Unix-friendly tsv (tab-separated values) format.
convutils 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_csv_dict_writer creates a csv.DictWriter instance with the convenience of not having to manually enter the header row yourself; uses ExcelTabNewlineDialect as the dialect, by default.
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 version 1.1.)
sample_list_dict is like random.sample but for dictionaries whose values are lists or other enumerable, iterable container types. (New in version 1.1.)
sample_list_dict_low_mem is similar to sample_list_dict but has a lower memory consumption for larger dictionaries. (New in version 1.1.)
convstructs
convstructs 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.
Installation
Installation is easy with pip; simply run
pip install ConvUtils
Availability
PyPI page: http://pypi.python.org/pypi/ConvUtils/
GitHub project page: https://github.com/gotgenes/python-ConvUtils
Project details
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