Skip to main content

A python package for wave function analysis

Project description

pywfn -- 基于python的波函数分析工具

文档: https://www.xiaofei911.top/mkdocs/pywfn/

依赖

numpy>=2.1.1
rich>=13.8.0
matplotlib>=3.9.2

运行(CLI)

python main.py

示例(API)

from pywfn.base import Mole
from pywfn.reader import LogReader
from pywfn.atomprop import charge

path="D:\BaiduSyncdisk\gfile\CnHn\C6H6.log" # 高斯输出文件的路径
reader=LogReader(path) # 实例化log文件读取器
mol=Mole(reader) # 实例化分子对象

caler=charge.Calculator(mol) # 实例化原子电荷计算器,传入分子对象
result=caler.mulliken() # 计算mulliken电荷
print(result) # 打印结果

功能

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pywfn-1.0.9-cp310-abi3-win_amd64.whl (3.2 MB view details)

Uploaded CPython 3.10+Windows x86-64

File details

Details for the file pywfn-1.0.9-cp310-abi3-win_amd64.whl.

File metadata

  • Download URL: pywfn-1.0.9-cp310-abi3-win_amd64.whl
  • Upload date:
  • Size: 3.2 MB
  • Tags: CPython 3.10+, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.13.1

File hashes

Hashes for pywfn-1.0.9-cp310-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 48936142b9bd0282cd1cb2714fb78d3ae9036b4041677e68f5e8be3b0657d514
MD5 a1f34baeb5508737ec5c3ffb312b1a09
BLAKE2b-256 2f620eaa949f78fc50bf96c17e243efd8cc83794ece320b497e48f528db9c75b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page