A Python library of periodic data statically generated from **PeriodicTableJSON.json** (https://github.com/NMRbox/Periodic-Table-JSON) on 2023 Jan 28.
An *Element* dataclass and *PeriodicTable* container class is generated from the JSON data.
Currently only the single valued str, float, and int are supported. The JSON fields *shells*, *ionization_energies*, *image* are omitted.
# Installation
pip install periodic_table_dataclasses
# Usage
from periodic_table import PeriodicTable
pt = PeriodicTable()
h = pt.search_name('hydrogen')
s = pt.search_number(16)
fe = pt.search_symbol('Fe')
for element in pt.elements:
print(element)
# Discussion
### Unnecessary
This module is not necessary to use PeriodicTableJSON.json in Python.
with open('PeriodicTableJSON.json') as f:
data = json.load(f)
elements = data['elements']
will bring all data into Pyton as nested data structure.
### Convenient
The module was implemented for the convenience of named class fields. A static definition allows type
checking and code completion when working in Python integrated development environments (IDE).
### Additional feature
The *PeriodicTable.search_name* features supports the British spellings *aluminium* and *sulphur*.
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"description": "A Python library of periodic data statically generated from **PeriodicTableJSON.json** (https://github.com/NMRbox/Periodic-Table-JSON) on 2023 Jan 28.\n\nAn *Element* dataclass and *PeriodicTable* container class is generated from the JSON data.\n\nCurrently only the single valued str, float, and int are supported. The JSON fields *shells*, *ionization_energies*, *image* are omitted. \n\n\n# Installation \n pip install periodic_table_dataclasses\n\n# Usage\n\n from periodic_table import PeriodicTable\n pt = PeriodicTable()\n h = pt.search_name('hydrogen')\n s = pt.search_number(16)\n fe = pt.search_symbol('Fe')\n for element in pt.elements:\n print(element)\n\n# Discussion\n### Unnecessary\nThis module is not necessary to use PeriodicTableJSON.json in Python. \n\n with open('PeriodicTableJSON.json') as f:\n data = json.load(f)\n elements = data['elements']\n\nwill bring all data into Pyton as nested data structure.\n\n### Convenient\nThe module was implemented for the convenience of named class fields. A static definition allows type\nchecking and code completion when working in Python integrated development environments (IDE).\n\n### Additional feature\nThe *PeriodicTable.search_name* features supports the British spellings *aluminium* and *sulphur*.\n\n",
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