uvw/6e2599d104e4master
README.md
UVW - Universal VTK Writer
UVW is a small utility library to write VTK files from data contained in Numpy arrays. It handles fully-fledged ndarrays defined over {1, 2, 3}-d domains, with arbitrary number of components. There are no constraints on the particular order of components, although copy of data can be avoided if the array is Fortran contiguous, as VTK files are written in Fortran order. Future developments will include multi-process write support.
Getting Started
Here is how to install and use uvw.
Prerequisites
- Python 3. It may work with python 2, but it hasn't been tested.
- Numpy. This code has been tested with Numpy version 1.14.3.
Installing
This library can be installed with pip:
pip install --user uvw
Writing Numpy arrays
As a first example, let us write a multi-component numpy array into a rectilinear grid:
python import numpy as np from uvw import RectilinearGrid, DataArray # Creating coordinates x = np.linspace(-0.5, 0.5, 10) y = np.linspace(-0.5, 0.5, 20) z = np.linspace(-0.9, 0.9, 30) # Creating the file grid = RectilinearGrid('grid.vtr', (x, y, z)) # A centered ball x, y, z = np.meshgrid(x, y, z, indexing='ij') r = np.sqrt(x**2 + y**2 + z**2) ball = r < 0.3 # Some multi-component multi-dimensional data data = np.zeros([10, 20, 30, 3, 3]) data[ball, ...] = np.array([[0, 1, 0], [1, 0, 0], [0, 1, 1]]) # Adding the point data (see help(DataArray) for more info) grid.addPointData(DataArray(data, range(3), 'data')) grid.write()
UVW also supports writing data on 2D and 1D physical domains, for example:
python import sys import numpy as np from uvw import RectilinearGrid, DataArray # Creating coordinates x = np.linspace(-0.5, 0.5, 10) y = np.linspace(-0.5, 0.5, 20) # A centered disk xx, yy = np.meshgrid(x, y, indexing='ij') r = np.sqrt(xx**2 + yy**2) R = 0.3 disk = r < R data = np.zeros([10, 20]) data[disk] = np.sqrt(1-(r[disk]/R)**2) # File object can be used as a context manager # and you can write to stdout! with RectilinearGrid(sys.stdout, (x, y)) as grid: grid.addPointData(DataArray(data, range(2), 'data'))
List of features
Here is a list of what is available in UVW:
VTK file formats
- Image data (.vti)
- Rectilinear grid (.vtr)
- Structured grid (.vts)
Data representation
- ASCII
- Base64 (uncompressed)
Planned developments
Here is a list of future developments:
- Image data
- Unstructured grid
- Structured grid
- Parallel writing (multi-process)
- Benchmarking + performance comparison with pyevtk
Developing
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Git repository
First clone the git repository:
git clone https://c4science.ch/source/uvw.git
Then you can use pip in development mode (possibly in virtualenv):
pip install --user -e .
Running the tests
The tests can be run using pytest:
cd tests; pytest
License
This project is licensed under the MIT License - see the LICENSE.md file for details.