文件
gprMax/tools/Jupyter notebooks/plot_Ascan.ipynb

81 行
52 KiB
Plaintext

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plotting an A-scan\n",
"\n",
"In the ``tools`` sub-package is a module called ``plot_Ascan`` which can be used to plot A-scans or single traces from models. The module will plot electric and magnetic field components and currents from any outputs (defined using the ``#rx`` command) in a model. When a single field component or current is specified, a FFT can also be plotted. The module takes an argument which is the name of the output file and several optional arguments:\n",
"\n",
"* ``--outputs`` which can be any field component or current, i.e. ``Ex``, ``Ey``, ``Ez``, ``Hx``, ``Hy``, ``Hz``, ``Ix``, ``Iy``, or ``Iz``, so long as those components or currents were specified in the output in the model (default is for all components and currents to be plotted)\n",
"* ``-fft`` a switch to turn on the FFT plotting for a single field component or current\n",
"\n",
"Each output (``#rx``) from a model will be plotted in a separate figure window.\n",
"\n",
"For example (to use the module outside this notebook) to plot the ``Ez`` component of an output with its FFT:\n",
"\n",
" python -m tools.plot_Ascan user_models/cylinder_Ascan_2D.out --outputs Ez -fft"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can use the following code to experiment (in this notebook) with plotting different field/current components and FFTs."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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KS0tzHQLiZds26YILpIEDbXD58OG2Oqpw4fw/dvPmUnq6rZgaPdqu0voEOe5x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"text/plain": [
"<matplotlib.figure.Figure at 0x110102358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import os\n",
"from gprMax.receivers import Rx\n",
"from tools.plot_Ascan import mpl_plot\n",
"\n",
"filename = os.path.join(os.pardir, os.pardir, 'user_models', 'cylinder_Ascan_2D.out')\n",
"#outputs = Rx.availableoutputs\n",
"outputs = ['Ez']\n",
"plt = mpl_plot(filename, outputs, fft=False)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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