This is the repository for the PyCon Colombia 2019 tutorial on Scientific visualization.
The previous animation presents a visualization for the heat transfer in a
plate with fixed temperature in the borders set to zero degrees and an initial
temperature distribution following a smiley shape. If we wait long enough the
solution should converge to a stationary state of zero degrees over the whole
domain. The animation can be reproduced running the example provided in
./code/heat_iteration.py, for example
python heat_iteration.py
Contents
We strongly encourage you to use conda to install the required packages for
this tutorial. There are non-Python dependencies required that make manual
installation or installing with pip very involved.
Note also that this tutorial is written for Python 3.6. No guarantees of any kind are made that it will be compatible with Python 2.
Create a conda environment using the file environment.yml in the root
of the repository using
conda env create -f environment.ymlfor Windows use
conda env create -f environment_win.ymlinstead.
This will create a conda environment named scivistutorial with all of the
required packages.
You can activate the environment with
conda activate scivistutorialTo activate the X3D backend for Mayavi, that can be used for interactive visualization in the Jupyter notebook use the following:
jupyter nbextension install --py mayavi --userWe would also discuss ParaView as a platform for visualization. The suggested installation method is to download the package for your particular operative system on the official websise.
vtki (previously known as VTKInterface) is a VTK helper module that
takes a different approach on interfacing with VTK through NumPy and direct
array access.
To install vtki use
pip install vtkiin your environment.
After installation you can check if everything is installed
python check_install.pyTo check if everything is working run the demos with
python demo.pyAll code is under MIT license and media under Creative Commons Attribute.
The content of this repository is licensed under the Creative Commons Attribution 4.0 license, and the source code that accompany the content is licensed under the MIT license.