.. highlight:: python
PYGENE
Simple tools to analyze GENE output (http://genecode.org/)
Runs on Python 2/3 with numpy, scipy, matplotlib
Usage
Linear scan analysis:
.. code-block:: python
from pygene import GeneLinearScan scan = GeneLinearScan('problem_003/scanfiles0016') scan.plot_nsq() scan.plot_omega() scan.phi.plot_mode() scan.apar.plot_mode(scannum=2) scan.ions.plot_mode() scan.electrons.plot_mode(scannum=4, moment=3) scan.vsp.plot_vspace(species='ions', scannum=3)
Nonlinear simulation analysis:
.. code-block:: python
from pygene import GeneNonlinear nl = GeneNonlinear('problem_004') nl.plot_nrg() nl.plot_energy() nl.apar.plot_mode() nl.ions.plot_mode() nl.vsp.plot_vspace(species='electrons')