timedomainresonace/Plot data.ipynb
2015-02-10 08:17:40 +01:00

75 lines
13 KiB
Plaintext

{
"metadata": {
"name": "",
"signature": "sha256:cf9769ed030dba90588e4e94007d226dd2897d23c8792fd8974c73bb04381b2c"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from tmtubes import gas\n",
"air=gas('air')\n",
"L=1.\n",
"c0=air.cm(293.15)\n",
"fres=c0/(4*L)\n",
"print(\"fres:\",fres)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"fres: 85.7847876535731\n"
]
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot(x,u)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 3,
"text": [
"[<matplotlib.lines.Line2D at 0x7f6c683d7278>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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O9kXcC1jv7hvcfQ8wHRhcrswgYAqAuy8DmplZqyTHfnVM9O/50ePBwDR33+Pu\nG4D10XmkArn0h5CMrkUpXYtSuXQtzEK/xaxZMGdO9Z47WbJoC2wq83xztC+VMm0SHNvS3bdFj7cB\nLaPHbaJyid5PREQqcNhhMG0ajBwZbqmtLsmSRaq3HKXSu24HOl90W1Oi99FtTyIiB+GEE+Cmm2Do\n0LB4UrVw9wo3oA/wXJnnNwNjy5X5EzC0zPN1hJpChcdGZVpFj1sD66LH44BxZY55Duh9gLhcmzZt\n2rQd/JboOz/RlmyC29eAjmbWDthK6HweVq7MXGAMMN3M+gDb3X2bmX2S4Ni5wOXAb6N/Z5fZP9XM\nJhCanzoCy8sHVdn7hEVEpHISJgt332tmY4AFQB7wkLsXm9mo6PUH3H2emQ0ws/XADmBEomOjU/8G\nmGFmVwEbgIujY940sxnAm8BeYLRG34mIxC8jR3CLiEjtyqgxDKkMEMxWZlZgZkvN7A0ze93Mron2\nVzjAMduZWZ6ZrTKzp6PnOXktzKyZmT1pZsVm9qaZ9c7ha/Ff0d/HWjObamb1c+VamNnDZrbNzNaW\n2VdtA6AzJlmkMkAwy+0B/svduxBuHvhx9PkPOMAxR1xLaLIsqR7n6rX4IzDP3TsB3yHcQJJz18LM\n2gI/AXq4e1dC8/dQcudaPEL4fiyr2gZAZ0yyILUBglnL3T9w9/+LHn8BFBNuAqhogGNWM7N8YADw\nF0pv3c65a2FmTYFT3P1hCH2F7v4vcvBaROoAh5pZHeBQws01OXEt3P0l4NNyu6ttAHQmJYtUBgjm\nhOgOs+7AMioe4Jjt/gDcCOwvsy8Xr0V74CMze8TMVprZg2bWiBy8Fu6+Bfg98HdCktju7ovIwWtR\nRrUNgM6kZKGeeMDMGgMzgWvd/fOyr6UwwDErmNlA4EN3X0UFA0Jz5VoQfkkfD9zv7scT7kj8WjNL\nrlwLM/sW4Zd0O8KXYWMz+37ZMrlyLQ6kqgOgMylZbAEKyjwv4OuZMeuZWV1Covhfdy8Zm7ItmosL\nM2sNfBhXfLXoRGCQmb0PTANON7P/JTevxWZgs7v/LXr+JCF5fJCD16If8L67f+Lue4FZwAnk5rUo\nUdHfRPnv0/xoX4UyKVl8NUDQzOoROmfmxhxTrTEzAx4C3nT3e8q8VDLAEb4+wDFrufst7l7g7u0J\nHZjPu/sPyM1r8QGwycyOjnb1A94AnibHrgWwEehjZg2jv5d+hBsgcvFalKjob2IuMNTM6plZeyoY\nAF1WRo3O/megAAAAsElEQVSzMLNzgHsoHeT365hDqjVmdjLwIrCG0urizYT/wDOAI4gGOLp7LSzf\nnh7MrC/wU3cfZGaHkYPXwsy6ETr66wHvEgbG5pGb12I84YfkXmAlcDXQhBy4FmY2DegLtCD0T/wM\nmEMFn93MbgGuJFyra919QcLzZ1KyEBGReGRSM5SIiMREyUJERJJSshARkaSULEREJCklCxERSUrJ\nQkREklKyEBGRpJQsREQkqf8HcogznVYp2ycAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x7f6c68d6a080>"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}