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datatype-tools-0.1.3
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تبلیغات ما
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مشاهده بیشترتوضیحات
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
[](https://travis-ci.org/edmundpf/datatype_tools)
[](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