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# ensight-reader
This library provides a pure Python reader (with some writing capability) for the EnSight Gold data format,
a common format for results of computational fluid dynamics (CFD) simulations.
It also comes with a few CLI tools, notably `ensight_transform` which
allows you to perform in-place scaling/translation/etc. of the geometry in your case.
The library designed for efficient, selective, memory-mapped access to data from EnSight Gold case –
something that would be useful when importing the data into other systems. If you're looking for a more "batteries included" solution, look at
[`vtkEnSightGoldBinaryReader`](https://vtk.org/doc/nightly/html/classvtkEnSightGoldBinaryReader.html)
from the VTK library ([see docs for comparison](https://ensight-reader.readthedocs.io/en/latest/design-howto.html#comparison-with-vtk-library)).
### Requirements
- Python 3.9+
- NumPy 1.21+
### Installation
```sh
pip install ensight-reader
```
### Example – Python API
```python
import ensightreader
import numpy as np
case = ensightreader.read_case("example.case")
geofile = case.get_geometry_model()
part_names = geofile.get_part_names() # ["internalMesh", ...]
part = geofile.get_part_by_name(part_names[0])
N = part.number_of_nodes
with geofile.open() as fp_geo:
node_coordinates = part.read_coordinates(fp_geo) # np.ndarray((N, 3), dtype=np.float32)
variable = case.get_variable("UMean")
with variable.mmap_writable() as mm_var:
data = variable.read_node_data(mm_var, part.part_id)
data[:] = np.sqrt(data) # transform variable data in-place
```
### Example – CLI
```sh
# increment X coordinate
ensight_transform --translate 1 0 0 sphere.case
# scale by 1000 (eg. m -> mm conversion)
ensight_transform --scale 1e3 1e3 1e3 sphere.case
# rotation matrix
ensight_transform --matrix \
0 -1 0 0 \
1 0 0 0 \
0 0 1 0 \
0 0 0 1 \
sphere.case
# transform only "internalMesh" part
ensight_transform --translate 1 0 0 --only-parts internalMesh motorbike.case
```
To learn more, please [see the documentation](https://ensight-reader.readthedocs.io).
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