blob: 4d41ba00fad78b3409733830c8853b53d7a3d592 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
|
Visualization with openPMD-viewer (for openPMD data)
====================================================
openPMD-viewer is an open-source Python package to access openPMD data.
It allows to:
- Quickly browse through the data, with a GUI-type interface in the Jupyter notebook
- Have access to the data numpy array, for more detailed analysis
Installation
------------
openPMD-viewer can be installed via ``conda`` or ``pip``:
::
conda install -c rlehe openpmd_viewer
::
pip install openPMD-viewer
Usage
-----
openPMD-viewer can be used either in simple Python scripts, or in a Jupyter
notebook. In both cases, you can import openPMD-viewer, and load the data
with the following commands:
::
from opmd_viewer import OpenPMDTimeSeries
ts = OpenPMDTimeSeries('./diags/hdf5')
.. note::
If you are using the Jupyter notebook, then you can start a pre-filled
notebook, which already contains the above lines, by typing in a terminal:
::
openPMD_notebook
When using the Jupyter notebook, you can quickly browse through the data
by using the command:
::
ts.slider()
You can also access the particle and field data as numpy arrays with the
methods ``ts.get_field`` and ``ts.get_particle``. See the openPMD-viewer
tutorials `here <https://github.com/openPMD/openPMD-viewer/tree/master/tutorials>`_ for more info.
|
