Skip to main content

Type hints for Abaqus/Python scripting

Project description

abqpy 2017

Documentation Status Documentation Status Tests CodeQL

Read this in other languages: English, 简体中文.

Type hints for Abaqus/Python scripting

abqpy is a Python package providing type hints for Python scripting of Abaqus, you can use it to write your Python script of Abaqus fluently, even without doing anything in Abaqus. It also provides some simple APIs to execute the Abaqus commands so that you can run your Python script to build the model, submit the job and extract the output data in just one Python script, even without opening the Abaqus/CAE.

Other links for this project

Pull Requests are Welcome

Since abqpy is reconstructed from the official Abaqus documentation, many of the docstrings are not well formatted, for example, the Raises section, the math equations, the attributes of the objects, due to the limitation of my time, those things are left behind, if anyone is willing to make any contributions, please feel free to create your pull requests.

Installation

abqpy supports Python 3.7 or a later version. If you are using Python 3.6 or an earlier version, please upgrade to Python 3.7 or a later version.

abqpy is uploaded to PyPI, you can simply install it using pip:

pip install abqpy

abqpy is also uploaded to anaconda, you can use conda to install it:

conda install -c haiiliin abqpy

You may install the latest development version by cloning the GitHub repository and use python to install from the local directory:

git clone https://github.com/haiiliin/abqpy.git
cd abqpy
pip install -r requirements.txt
python setup.py install

Install A Specific Version

You can specify the version number when installing abqpy, for example:

Using pip:

pip install abqpy==2017.3.4

Using conda:

conda install -c haiiliin abqpy=2017.3.4

A better way is to use * to match specific version:

pip install abqpy==2017.*

Optional Requirements

You can put your Abaqus/Python script into a Jupyter Notebook. When you run the notebook, the package will convert the notebook into a plain Python file with the same name but with .py suffix instead of .ipynb, and then it will be submitted to Abaqus kernel.

Go examples for tests using Jupyter Notebooks to build the Abaqus model.

In order to use the Jupyter Notebook feature, you have to install ipynbname:

pip install ipynbname

Setup Abaqus Environment

In order to use Abaqus command to execute the Python script and submit the job, you need to tell abqpy where the Abaqus command is located. Usually, Abaqus command locates in a directory like this:

C:/SIMULIA/Commands/abaqus.bat

You can add the directory C:/SIMULIA/Commands to the system environment variable Path, or you can create a new system variable named ABAQUS_BAT_PATH, and set the value to the file path of the Abaqus command, i.e., C:/SIMULIA/Commands/abaqus.bat.

Screenshots

  • Create an Abaqus Model

    Model

  • Extract Output Data

    Output

Explore more

For detailed usage of this package, please refer to the documentation.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

abqpy-2017.3.4.tar.gz (9.4 MB view details)

Uploaded Source

Built Distribution

abqpy-2017.3.4-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file abqpy-2017.3.4.tar.gz.

File metadata

  • Download URL: abqpy-2017.3.4.tar.gz
  • Upload date:
  • Size: 9.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for abqpy-2017.3.4.tar.gz
Algorithm Hash digest
SHA256 c1b365c184c398dbdb84e41bc398ffcdf5d0c59bf45f4ed781bde3eb878b04bc
MD5 fcb3848227441de6cf228eb51dcb01b0
BLAKE2b-256 5e2b1f0a1421a2b3591ececf8184d54e28080f0161f367587177404a83a3b925

See more details on using hashes here.

File details

Details for the file abqpy-2017.3.4-py3-none-any.whl.

File metadata

  • Download URL: abqpy-2017.3.4-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for abqpy-2017.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 d5e88278eb0b9617481886b5ef2660dafa3723089d5a53bd923de1f86fe56a07
MD5 e6045e5918c3d3cea3ec411be4832e9f
BLAKE2b-256 7fb5545c9ee92ed05c53ac339670c3763d822daee4308bc28e75beb32fde62ee

See more details on using hashes here.

Supported by

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