文件
gprMax/tools/Jupyter notebooks/plot_Bscan.ipynb
2016-05-12 18:08:51 +01:00

95 行
51 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import sys\n",
"\n",
"# Change to your path to gprMax\n",
"path = '/Users/cwarren/Documents/Git-projects/gprMax/'\n",
"sys.path.append(path)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plotting a B-scan\n",
"\n",
"In the ``tools`` sub-package is a module called ``plot_Bscan`` which can be used to plot a B-scan (collection of A-scans) from models. The module takes a single argument 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 (by default all components and currents are output)\n",
"\n",
"For example (to use the module outside this notebook) to plot the B-scan of the ``Ez`` component of an output:\n",
"\n",
" python -m tools.plot_Bscan user_models/cylinder_Bscan_2D_merged.out Ez\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can use the following code to experiment (in this notebook) with plotting different field/current components."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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gjUzBEnmCNTIFpI6OjXB4VdigYwOWCgsLyRRMkSlYI1OwRJ5gjUwByBVeFTZ2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\nQghBy/8BNHcdWH9hakAAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x111af9390>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import os\n",
"from tools.plot_Bscan import get_output_data, mpl_plot\n",
"\n",
"filename = os.path.join(path, 'user_models', 'cylinder_Bscan_2D_merged.out')\n",
"rxnumber = 1\n",
"rxcomponent = 'Ez'\n",
"outputdata, dt = get_output_data(filename, rxnumber, rxcomponent)\n",
"plt = mpl_plot(outputdata, dt, rxnumber, rxcomponent)\n",
"\n",
"# Change from the default 'seismic' colormap\n",
"plt.set_cmap('gray')\n",
"plt.show()"
]
}
],
"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",
"pygments_lexer": "ipython3",
"version": "3.5.1"
}
},
"nbformat": 4,
"nbformat_minor": 0
}