datatypeplus 1.1.1

A lightweight Python library for flexible data structures and reactive lists.

datatypeplus

Datatypeplus is a Python library that provides advanced data structures and reactive containers.

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Import

from datatypeplus import FlexString, NList, EvolveList, EvolveElement, info

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FlexString

A mutable, list-like string class with full edit and transformation support.

Example

fs = FlexString("Hello") fs.append(" World") fs[0] = "h" fs.replace("World", "Python") fs.upper() fs[0:3] = "Hey" fs.extend("!!") fs.insert(0, ">") print(fs) # >>> HEYLO PYTHON!!

Methods

append(value)
 Add text to the end of the string.

extend(value)
 Extend with multiple characters or another string.

insert(index, value)
 Insert text at a specific position.

replace(old, new)
 Replace all occurrences of a substring.

upper()
 Convert all characters to uppercase (in place).

lower()
 Convert all characters to lowercase (in place).

getitem(index) / setitem(index, value)
 Access or modify by index or slice.

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NList

A labeled, multi-dimensional datatypeplus for structured data access.
Each axis has a name and markers, which can be used to locate data points.

Example

nl = NList( axes={ "Year": [2011, 2012, 2013], "Month": ["Jan", "Feb"], "City": ["NY", "LA"] }, default=0 )

nl.set(2011, "Jan", "NY", value=100) nl.set(2012, "Feb", "LA", value=200)

print(nl.get(2011, "Jan", "NY")) # 100 print(nl.get(2012, "Feb", "LA")) # 200 print(nl.get(2013, "Jan", "NY")) # 0 (default)

Methods

set(*markers, value)
 Set a value at the specified axis markers.

get(*markers)
 Retrieve a value using axis markers.

axes
 Dictionary of all defined axes.

shape
 List of axis lengths.

repr()
 Returns a string summary of the structure.

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EvolveList and EvolveElement

Reactive lists that automatically trigger actions when certain conditions become true.

Example

el = EvolveList([10, 20, 30])

el[0].when(el[0] == 10).print("Element 0 hit 10!") el[2].when(el[2] == 15).do(lambda: print("Element 2 hit 15!"))

el[0].value = 10 el[2] = 15 el.append(40)

Multi-condition using & (and), | (or), and ~ (not)

el[1].when((el[1] == 20) & (el[2] != 30)).do(lambda: el.setitem(1, 99)) el[2].when((el[2] > 10) | (el[0] == 10)).print("Element 2 triggered by OR condition") el[0].when(~(el[0] == 5)).print("Element 0 is NOT 5")

print(el)

Methods

append(value)
 Add an element to the list.

setitem(index, value)
 Set a value at a position; triggers conditions if met.

getitem(index)
 Return an EvolveElement wrapper for the element.

el[i].value
 Access or modify an element’s stored value.

el[i].when(condition)
 Define a reactive condition for an element.

el[i].when(...).do(action)
 Run a custom function when the condition becomes true.

el[i].when(...).print(message)
 Print a message when the condition becomes true.

check()
 Manually re-evaluate all conditions.

|=or &=and ~=not

info()

Prints metadata about the library.

Example

print(info())

Output:

Datatypeplus v1.1.1
Includes: FlexString, NList, EvolveList, EvolveElement
License: MIT

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File Structure

datatypeplus/
│
├── init.py
├── flow.py
├── setup.py
├── test.py
├── README.md
└── LICENSE.txt

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Installation

Local install for development:

pip install -e .

After install:

from datatypeplus import *

Upgrade

To upgrade:

pip install datatypeplus --upgrade