fdgrid provides some tools to create regular, adaptative or curvilinear 2D grids. fdgrid has been designed to work with nsfds2 but can also be used alone. fdgrid provides tool to:
generate 2D meshes : x and z coordinates,
subdivide the grid into Subdomain objects used by nsfds2.
Requirements
- python:
>= 3.7
- matplotlib:
>= 3.0
- numpy:
>= 1.1
- scipy:
>= 1.1
- ofdlib2:
>= 0.8
- mplutils:
>= 0.3
Installation
Clone the github repo and
$ python setup.py installor install via Pypi
$ pip install fdgridLinks
Documentation: http://perso.univ-lemans.fr/~cdesjouy/fdgrid/
Source code: https://github.com/ipselium/fdgrid
Bug reports: https://github.com/ipselium/fdgrid/issues
1 maintainer
Metadata
1 maintainer
Release files for fdgrid 0.11.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fdgrid-0.11.1.tar.gz | 255.0 kB | Details |
Release files / fdgrid-0.11.1.tar.gz
| Download URL | fdgrid-0.11.1.tar.gz |
|---|---|
| Size | 255.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d19ea6acb3498d68fe422d87e3ab4e3572dd22d098c6b26991adcec7ca8a6253
|
|
BLAKE2b-256 checksum How to use checksums |
216598a8f522f7c4525e15a85a1b820a2579e14e4798f8e051b096c0ad7490f1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.10.2
|
