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datatype-tools-0.1.3


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توضیحات

Additional methods for Python's immutable data types.
ویژگی مقدار
سیستم عامل -
نام فایل datatype-tools-0.1.3
نام datatype-tools
نسخه کتابخانه 0.1.3
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Edmund Pfeil
ایمیل نویسنده edmundpf@buffalo.edu
آدرس صفحه اصلی https://github.com/edmundpf/datatype_tools
آدرس اینترنتی https://pypi.org/project/datatype-tools/
مجوز -
# Data Type Tools [![Build Status](https://travis-ci.org/edmundpf/datatype_tools.svg?branch=master)](https://travis-ci.org/edmundpf/datatype_tools) [![PyPI version](https://badge.fury.io/py/datatype-tools.svg)](https://badge.fury.io/py/datatype-tools) > Includes useful helper methods for Python's immutable data types using the *forbiddenfruit* library. ## Install * `python3 -m pip install datatype-tools` ## Usage * Import single datatype * `from datatype_tools.lib import Float` * Import all datatypes * `from datatype_tools.lib import *` ## Dict Tools * *sort_by_val* * Sorts dictionary by values, expects dictionary with a depth of 1 ``` python >>> obj = {'a': 3, 'b': 1, 'c': 2} >>> obj.sort_by_val(sort_type='int') {'b': 1, 'c': 2, 'a': 3} ``` * Arguments * *self*: dictionary * *asc*: boolean (True) * Ascending order when True, Descending when False * *sort_type*: string ('string') * Data Type for sort, includes 'string', 'int', 'float', and 'date' types * Date Type is a string representing a date * Data does not need to match type i.e. a string with an int value '1' * Returns original data type * *date_input*: string ('mdy') * Date input format * i.e. 'ymd', 'mdy', etc. * Returns sorted dict * *sort_by_key* * Sorts dictionary by keys, expects dictionary with a depth of 1 ``` python >>> obj = {'c': 1, 'a': 3, 'b': 2} >>> obj.sort_by_key(sort_type='string') {'a': 3, 'b': 2, 'c': 1} ``` * Arguments * *self*: dictionary * *asc*: boolean (True) * Ascending order when True, Descending when False * *sort_type*: string ('string') * Data Type for sort, includes 'string', 'int', 'float', and 'date' types * Date Type is a string representing a date * Data does not need to match type i.e. a string with an int value '1' * Returns original data type * *date_input*: string ('mdy') * Date input format * i.e. 'ymd', 'mdy', etc. * Returns sorted dict * *nested_sort* * Sorts dictionary by nested key value ``` python >>> obj = {'a': {'b': {'c': 2}}, 'b': {'b': {'c': 1}}} >>> obj.nested_sort(nested_args=[{'keys': ['b', 'c'], 'sort_type': 'int'}]) {'b': {'b': {'c': 1}}, 'a': {'b': {'c': 2}}} ``` * Arguments * *self*: dictionary * *asc*: boolean (True) * Ascending order when True, Descending when False * *nested_args*: list * List of sort argument dicts, can include multiple to sort by multiple nested keys respectively * Args * *keys*: list * list of nested keys respectively i.e. ['b', 'c', 'd'] will sort by key ['b']['c']['d'] * *sort_type*: string ('string') * Data Type for sort, includes 'string', 'int', 'float', and 'date' types * Date Type is a string representing a date * Data does not need to match type i.e. a string with an int value '1' * Returns original data type * *date_input*: string ('mdy') * Date input format * i.e. 'ymd', 'mdy', etc. * Returns sorted dict ## List Tools * *sort_by_val* * Sorts list of dictionaries by values, expects dictionaries with a depth of 1 ``` python >>> li = [{'a': 3}, {'b': 1}, {'c': 2}] >>> li.sort_by_val(sort_type='int') [{'b': 1}, {'c': 2}, {'a': 3}] ``` * Arguments * *self*: list * *asc*: boolean (True) * Ascending order when True, Descending when False * *sort_type*: string ('string') * Data Type for sort, includes 'string', 'int', 'float', and 'date' types * Date Type is a string representing a date * Data does not need to match type i.e. a string with an int value '1' * Returns original data type * *date_input*: string ('mdy') * Date input format * i.e. 'ymd', 'mdy', etc. * Returns sorted list * *sort_by_key* * Sorts list of dictionaries by keys, expects dictionaries with a depth of 1 ``` python >>> li = [{'c': 1}, {'a': 3}, {'b': 2}] >>> li.sort_by_key(sort_type='string') [{'a': 3}, {'b': 2}, {'c': 1}] ``` * Arguments * *self*: list * *asc*: boolean (True) * Ascending order when True, Descending when False * *sort_type*: string ('string') * Data Type for sort, includes 'string', 'int', 'float', and 'date' types * Date Type is a string representing a date * Data does not need to match type i.e. a string with an int value '1' * Returns original data type * *date_input*: string ('mdy') * Date input format * i.e. 'ymd', 'mdy', etc. * Returns sorted list * *sort_by_key_val* * Sorts list of dictionaries by specific key value, expects dictionaries with a depth of 1 ``` python >>> li = [{'a': 1, 'b': 2}, {'a': 2, 'b': 1}] >>> li.sort_by_key_val(key='b', sort_type='string') [{'a': 2, 'b': 1}, {'a': 1, 'b': 2}] ``` * Arguments * *self*: list * *asc*: boolean (True) * Ascending order when True, Descending when False * *sort_type*: string ('string') * Data Type for sort, includes 'string', 'int', 'float', and 'date' types * Date Type is a string representing a date * Data does not need to match type i.e. a string with an int value '1' * Returns original data type * *date_input*: string ('mdy') * Date input format * i.e. 'ymd', 'mdy', etc. * Returns sorted list * *nested_sort* * Sorts list of dictionaries by nested key value ``` python >>> li = [{'a': {'b': {'c': 2}}}, {'b': {'b': {'c': 1}}}] >>> li.nested_sort(nested_args=[{'keys': ['b', 'c'], 'sort_type': 'int'}]) [{'b': {'b': {'c': 1}}}, {'a': {'b': {'c': 2}}}] ``` * Arguments * *self*: list * *asc*: boolean (True) * Ascending order when True, Descending when False * *nested_args*: list * List of sort argument dicts, can include multiple to sort by multiple nested keys respectively * Args * *keys*: list * list of nested keys respectively i.e. ['b', 'c', 'd'] will sort by key ['b']['c']['d'] * *sort_type*: string ('string') * Data Type for sort, includes 'string', 'int', 'float', and 'date' types * Date Type is a string representing a date * Data does not need to match type i.e. a string with an int value '1' * Returns original data type * *date_input*: string ('mdy') * Date input format * i.e. 'ymd', 'mdy', etc. * Returns sorted list ## String Tools * *replace_multiple* * Replace multiple substrings or characters in a string with their respective replacements ``` python >>> 'The Apple is Red'.replace_multiple({'Apple': 'Grass', 'Red': 'Green'}) 'The Grass is Green' ``` * Arguments * *self*: string * *dictionary*: dict * dict keys are the values to replace, and key values will be their respective replacements in the string * Returns string with replacements * *format_date* * Formats string representing date in multiple formats ``` python >>> '1/01/75'.format_date(date_input='mdy', date_format='mmddyyyy', delimiter='-') '01-01-1975' ``` * Arguments * *self*: string * *date_input*: string ('mdy') * date input order, i.e. 'mdy' for month, day, year, and 'ymd' for year, month, day * *date_format* string ('mmddyy') * date output format, the number of each letter correspond to date digits, i.e. a date with 'mmddyyyy' will have 4 digits for year while a date with 'mmddyy' will only have 2 digits for year * delimiter: string ('') * delimiter for date output, i.e. '/' yields 01/01/2019 * Returns formatted date string * *find_nth* * Find nth occurence of substring in string ``` python >>> 'apple picking'.find_nth('p', 3) 11 ``` * Arguments * *self*: string * *string*: string * substring to search in string * *n*: int * 1-based occurence number of substring to find in string. * Returns int index * *b64_enc* * Base64 encode string ``` python >>> 'plain_text'.b64_enc() 'cGxhaW5fdGV4dA==' ``` * Arguments * *self*: string * Returns string * *b64_dec* * Base64 decode string ``` python >>> 'cGxhaW5fdGV4dA=='.b64_dec() 'plain_text' ``` * Arguments * *self*: string * Returns string * *get_iso_date* * Get ISO Date from string ``` python >>> '2019-05-27T19:09:04.285211Z'.get_iso_date() {'date': '05/27/2019', 'time': '19:09:04', 'micros': '285211', 'date_and_time': '05/27/2019-19:09:04', 'full_date': '05/27/2019-19:09:04.285211'} ``` * Arguments * *self*: string * iso_format: string, ISO datetime format for strftime * date_format: string, date output format * delimiter: string, date output delimiter * Returns dict ## Float Tools * *round* * Round value to n decimal places (scientific rounding, fixes python rounding errors) ``` python >>> 4.055.round(2) 4.06 >>> 4.054(2) 4.05 ``` * Arguments * *self*: float * *places*: int (2) * Number of places to round to * Returns rounded float


نیازمندی

مقدار نام
- forbiddenfruit


نحوه نصب


نصب پکیج whl datatype-tools-0.1.3:

    pip install datatype-tools-0.1.3.whl


نصب پکیج tar.gz datatype-tools-0.1.3:

    pip install datatype-tools-0.1.3.tar.gz