{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%pylab inline\n",
"import glob"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
}
],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"list_of_files = [ './Krypton00000.txt']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 113
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"datalist = [ ( pylab.loadtxt(filename,skiprows=20,comments='>'), filename ) for filename in list_of_files ]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 114
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pylab.legend()\n",
"pylab.title(\"Kr Bulb Spectrum\")\n",
"pylab.xlabel(\"[nm]\")\n",
"pylab.ylabel(\"Amp\")\n",
"\n",
"for data, label in datalist:\n",
" pylab.plot( data[:,0], data[:,1], label=label)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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"text": [
"<matplotlib.figure.Figure at 0x7f8b3225c490>"
]
}
],
"prompt_number": 127
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"list_of_files=glob.glob('./Kr*.txt')\n",
"datalist = [ ( pylab.loadtxt(filename,skiprows=20,comments='>'), filename ) for filename in list_of_files ]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 102
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, ax = plt.subplots(figsize=(20,7))\n",
"\n",
"\n",
"for data, label in datalist:\n",
" ax.plot( data[:,0], data[:,1], label=label )\n",
"\n",
"#ax.legend(loc='upper right')\n",
"ax.set_xlim(200, 900)\n",
"ax.set_ylim(600, 4000)\n",
"ax.grid()\n",
"ax.set_xlabel('[nm]')\n",
"ax.set_ylabel('Ampl.')\n",
"ax.set_title('Kr Bulb Spectrum')\n",
"ax.xaxis.set_major_locator(MultipleLocator(50))\n",
"ax.xaxis.set_major_formatter(FormatStrFormatter('%d'))\n",
"ax.xaxis.set_minor_locator(MultipleLocator(5))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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"text": [
"<matplotlib.figure.Figure at 0x7f8b31e58750>"
]
}
],
"prompt_number": 153
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}