/Modules/Sensors/ALTIMET01A/SW/Python/ALTIMET_test.ipynb
14,7 → 14,7
"P\u0159esn\u00e9 m\u011b\u0159en\u00ed tlaku a jeho pou\u017eit\u00ed k ur\u010den\u00ed nadmo\u0159sk\u00e9 v\u00fd\u0161ky\n",
"=======\n",
"\n",
"P\u0159\u00edklad vyu\u017e\u00edv\u00e1 modulovou stavebnici MLAB a jej\u00ed Python knihovnu [pymlab](https://github.com/MLAB-project/MLAB-I2c-modules)\n",
"P\u0159\u00edklad vyu\u017e\u00edv\u00e1 modulovou stavebnici MLAB a jej\u00ed Python knihovnu [pymlab](https://github.com/MLAB-project/MLAB-I2c-modules). Sn\u00edma\u010d je k po\u010d\u00edta\u010di p\u0159ipojen\u00fd p\u0159es rozhradn\u00ed USB a data jsou vy\u010d\u00edt\u00e1na p\u0159es [I\u00b2C](http://wiki.mlab.cz/doku.php?id=cs:i2c)\n",
"\n",
"Pou\u017eit\u00fd sn\u00edma\u010d [MPL3115A2](http://www.freescale.com/webapp/sps/site/prod_summary.jsp?code=MPL3115A2) m\u00e1 n\u00e1sleduj\u00edc\u00ed katalogov\u00e9 parametry: \n",
"\n",
49,13 → 49,12
"i2c-3\ti2c \ti915 gmbus dpc \tI2C adapter\r\n",
"i2c-4\ti2c \ti915 gmbus dpb \tI2C adapter\r\n",
"i2c-5\ti2c \ti915 gmbus dpd \tI2C adapter\r\n",
"i2c-6\ti2c \tDPDDC-C \tI2C adapter\r\n",
"i2c-7\ti2c \tDPDDC-D \tI2C adapter\r\n",
"i2c-8\ti2c \ti2c-tiny-usb at bus 001 device 008\tI2C adapter\r\n"
"i2c-6\ti2c \tDPDDC-B \tI2C adapter\r\n",
"i2c-7\ti2c \ti2c-tiny-usb at bus 001 device 004\tI2C adapter\r\n"
]
}
],
"prompt_number": 1
"prompt_number": 111
},
{
"cell_type": "markdown",
84,12 → 83,12
"cell_type": "code",
"collapsed": false,
"input": [
"port = 8"
"port = 7"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
"prompt_number": 112
},
{
"cell_type": "markdown",
113,7 → 112,7
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
"prompt_number": 113
},
{
"cell_type": "markdown",
145,7 → 144,7
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
"prompt_number": 114
},
{
"cell_type": "markdown",
173,7 → 172,7
]
}
],
"prompt_number": 9
"prompt_number": 115
},
{
"cell_type": "markdown",
186,6 → 185,11
"cell_type": "code",
"collapsed": false,
"input": [
"import sys\n",
"import time\n",
"from IPython.display import clear_output\n",
"\n",
"\n",
"MEASUREMENTS = 100\n",
"t = np.zeros(MEASUREMENTS)\n",
"p = np.zeros(MEASUREMENTS)\n",
193,7 → 197,9
"# gauge.route() V p\u0159\u00edpad\u011b v\u00edce \u010didel je pot\u0159eba ke ka\u017ed\u00e9mu p\u0159ed jeho pou\u017eit\u00edm nechat vyroutovat cesutu na sb\u011brnici.\n",
"for n in range(MEASUREMENTS):\n",
" (t[n], p[n]) = gauge.get_tp()\n",
" print(n,t[n], p[n])"
" clear_output()\n",
" print(n,t[n], p[n])\n",
" sys.stdout.flush()"
],
"language": "python",
"metadata": {},
202,803 → 208,11
"output_type": "stream",
"stream": "stdout",
"text": [
"(0, 22.625, 98286.0)\n",
"(1, 22.625, 98288.25)"
"(99, 22.9375, 95656.5)\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(2, 22.625, 98288.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(3, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(4, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(5, 22.625, 98284.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(6, 22.625, 98284.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(7, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(8, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(9, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(10, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(11, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(12, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(13, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(14, 22.625, 98284.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(15, 22.625, 98284.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(16, 22.625, 98286.5)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(17, 22.625, 98286.5)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(18, 22.625, 98284.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(19, 22.625, 98284.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(20, 22.625, 98288.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(21, 22.625, 98288.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(22, 22.625, 98288.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(23, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(24, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(25, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(26, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(27, 22.625, 98290.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(28, 22.625, 98290.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(29, 22.625, 98286.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(30, 22.625, 98286.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(31, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(32, 22.625, 98290.75)"
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},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(33, 22.625, 98286.25)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(34, 22.625, 98286.25)"
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},
{
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"stream": "stdout",
"text": [
"\n",
"(35, 22.625, 98286.25)"
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},
{
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"stream": "stdout",
"text": [
"\n",
"(36, 22.625, 98286.25)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(37, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(38, 22.625, 98286.25)"
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{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(39, 22.625, 98286.25)"
]
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{
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"stream": "stdout",
"text": [
"\n",
"(40, 22.625, 98290.75)"
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},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(41, 22.625, 98290.75)"
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{
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"stream": "stdout",
"text": [
"\n",
"(42, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(43, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(44, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(45, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(46, 22.625, 98288.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(47, 22.625, 98288.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(48, 22.625, 98286.5)"
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{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(49, 22.625, 98286.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(50, 22.625, 98288.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(51, 22.625, 98288.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(52, 22.625, 98288.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(53, 22.625, 98286.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(54, 22.625, 98286.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(55, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(56, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(57, 22.625, 98286.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(58, 22.625, 98286.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(59, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(60, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(61, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(62, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(63, 22.625, 98282.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(64, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(65, 22.625, 98288.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(66, 22.625, 98288.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(67, 22.625, 98288.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(68, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(69, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(70, 22.625, 98290.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(71, 22.625, 98290.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(72, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(73, 22.625, 98286.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(74, 22.625, 98290.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(75, 22.625, 98290.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(76, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(77, 22.625, 98284.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(78, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(79, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(80, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(81, 22.625, 98290.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(82, 22.625, 98290.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(83, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(84, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(85, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(86, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(87, 22.625, 98288.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(88, 22.625, 98288.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(89, 22.625, 98286.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(90, 22.625, 98286.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(91, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(92, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(93, 22.625, 98288.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(94, 22.625, 98288.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(95, 22.625, 98288.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(96, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(97, 22.625, 98290.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(98, 22.625, 98290.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(99, 22.625, 98290.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n"
]
}
],
"prompt_number": 34
"prompt_number": 117
},
{
"cell_type": "markdown",
1029,6 → 243,10
"cell_type": "code",
"collapsed": false,
"input": [
"import sys\n",
"import time\n",
"from IPython.display import clear_output\n",
"\n",
"MEASUREMENTS = 100\n",
"t = np.zeros(MEASUREMENTS)\n",
"p = np.zeros(MEASUREMENTS)\n",
1036,7 → 254,9
"# gauge.route() V p\u0159\u00edpad\u011b v\u00edce \u010didel je pot\u0159eba ke ka\u017ed\u00e9mu p\u0159ed jeho pou\u017eit\u00edm nechat vyroutovat cesutu na sb\u011brnici.\n",
"for n in range(MEASUREMENTS):\n",
" (t[n], p[n]) = gauge.get_tp()\n",
" print(n,t[n], p[n])"
" clear_output()\n",
" print(n,t[n], p[n])\n",
" sys.stdout.flush()"
],
"language": "python",
"metadata": {},
1045,803 → 265,11
"output_type": "stream",
"stream": "stdout",
"text": [
"(0, 22.5625, 98296.25)\n",
"(1, 22.5625, 98296.25)"
"(99, 22.875, 95658.5)\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(2, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(3, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(4, 22.5625, 98300.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(5, 22.5625, 98300.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(6, 22.5625, 98302.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(7, 22.5625, 98302.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(8, 22.5625, 98300.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(9, 22.5625, 98300.75)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(10, 22.5625, 98304.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(11, 22.5625, 98304.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(12, 22.5625, 98304.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(13, 22.5625, 98304.25)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(14, 22.5625, 98300.25)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(15, 22.5625, 98300.25)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
"(16, 22.5625, 98300.25)"
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},
{
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"text": [
"\n",
"(17, 22.5625, 98302.5)"
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{
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"stream": "stdout",
"text": [
"\n",
"(18, 22.5625, 98302.5)"
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{
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"stream": "stdout",
"text": [
"\n",
"(19, 22.5625, 98304.0)"
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{
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"text": [
"\n",
"(20, 22.5625, 98304.0)"
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{
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"text": [
"\n",
"(21, 22.5625, 98298.5)"
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"(22, 22.5625, 98298.5)"
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"text": [
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"(23, 22.5625, 98298.5)"
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{
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"text": [
"\n",
"(24, 22.5625, 98298.5)"
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{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(25, 22.5625, 98300.5)"
]
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{
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"text": [
"\n",
"(26, 22.5625, 98300.5)"
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{
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"text": [
"\n",
"(27, 22.5625, 98296.0)"
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{
"output_type": "stream",
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"\n",
"(28, 22.5625, 98300.0)"
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{
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"\n",
"(29, 22.5625, 98306.75)"
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{
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{
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{
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{
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{
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{
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{
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{
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"(38, 22.5625, 98296.5)"
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{
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"(39, 22.5625, 98296.5)"
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{
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{
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"(41, 22.5625, 98296.5)"
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{
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"(42, 22.5625, 98300.0)"
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},
{
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"\n",
"(43, 22.5625, 98300.0)"
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},
{
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"\n",
"(44, 22.5625, 98300.0)"
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{
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"\n",
"(45, 22.5625, 98300.5)"
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{
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"text": [
"\n",
"(46, 22.5625, 98300.5)"
]
},
{
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"text": [
"\n",
"(47, 22.5625, 98300.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(48, 22.5625, 98300.5)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(49, 22.5625, 98300.75)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(50, 22.5625, 98300.75)"
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},
{
"output_type": "stream",
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"text": [
"\n",
"(51, 22.5625, 98298.75)"
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},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(52, 22.5625, 98298.75)"
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},
{
"output_type": "stream",
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"text": [
"\n",
"(53, 22.5625, 98298.75)"
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},
{
"output_type": "stream",
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"text": [
"\n",
"(54, 22.5625, 98298.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(55, 22.5625, 98300.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(56, 22.5625, 98300.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(57, 22.5625, 98296.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(58, 22.5625, 98296.75)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(59, 22.5625, 98296.75)"
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},
{
"output_type": "stream",
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"text": [
"\n",
"(60, 22.5625, 98298.25)"
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},
{
"output_type": "stream",
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"text": [
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"(61, 22.5625, 98298.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(62, 22.5625, 98298.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(63, 22.5625, 98298.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(64, 22.5625, 98304.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(65, 22.5625, 98304.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(66, 22.5625, 98298.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(67, 22.5625, 98298.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(68, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(69, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(70, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(71, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(72, 22.5625, 98298.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(73, 22.5625, 98298.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(74, 22.5625, 98298.0)"
]
},
{
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"text": [
"\n",
"(75, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(76, 22.5625, 98302.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(77, 22.5625, 98300.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(78, 22.5625, 98300.75)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(79, 22.5625, 98300.25)"
]
},
{
"output_type": "stream",
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"(80, 22.5625, 98300.25)"
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{
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"(81, 22.5625, 98300.0)"
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},
{
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"\n",
"(82, 22.5625, 98300.0)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(83, 22.5625, 98300.0)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(84, 22.5625, 98300.0)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(85, 22.5625, 98298.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(86, 22.5625, 98302.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(87, 22.5625, 98302.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(88, 22.5625, 98300.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(89, 22.5625, 98300.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(90, 22.5625, 98298.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(91, 22.5625, 98298.5)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(92, 22.5625, 98300.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(93, 22.5625, 98300.0)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(94, 22.5625, 98298.5)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(95, 22.5625, 98298.5)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(96, 22.5625, 98298.75)"
]
},
{
"output_type": "stream",
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"text": [
"\n",
"(97, 22.5625, 98298.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(98, 22.5625, 98300.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(99, 22.5625, 98300.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n"
]
}
],
"prompt_number": 10
"prompt_number": 118
},
{
"cell_type": "code",
1872,7 → 300,7
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
"prompt_number": 82
},
{
"cell_type": "markdown",
1885,7 → 313,7
"cell_type": "markdown",
"metadata": {},
"source": [
"Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota tlaku:"
"Minim\u00e1ln\u00ed, maxim\u00e1ln\u00ed hodnota tlaku a sm\u011brodatn\u00e1 odchylka pro m\u011b\u0159en\u00ed tlaku na stole:"
]
},
{
1892,54 → 320,31
"cell_type": "code",
"collapsed": false,
"input": [
"amin(ph)"
"[min(ph),max(ph),std(ph)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"text": [
"98346.0"
]
}
"latex": [
"$$\\begin{bmatrix}98282.25, & 98290.75, & 2.28119897203\\end{bmatrix}$$"
],
"prompt_number": 27
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota teploty:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(th)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 28,
"png": "iVBORw0KGgoAAAANSUhEUgAAAV4AAAAZBAMAAACLL1tJAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\ngg==\n",
"prompt_number": 95,
"text": [
"22.5625"
"[98282.25, 98290.75, 2.28119897203]"
]
}
],
"prompt_number": 28
"prompt_number": 95
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Maxim\u00e1ln\u00ed tlak"
"Minim\u00e1ln\u00ed, maxim\u00e1ln\u00ed hodnota tlaku a sm\u011brodatn\u00e1 odchylka pro m\u011b\u0159en\u00ed teploty na stole:"
]
},
{
1946,107 → 351,30
"cell_type": "code",
"collapsed": false,
"input": [
"amax(ph)"
"[min(th),max(th),std(th)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 29,
"text": [
"98358.25"
]
}
"latex": [
"$$\\begin{bmatrix}22.625, & 22.625, & 0.0\\end{bmatrix}$$"
],
"prompt_number": 29
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Maxim\u00e1ln\u00ed hodnota teploty"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amax(th)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 30,
"png": "iVBORw0KGgoAAAANSUhEUgAAAMwAAAAZBAMAAACP/9xdAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nRU5ErkJggg==\n",
"prompt_number": 102,
"text": [
"22.625"
"[22.625, 22.625, 0.0]"
]
}
],
"prompt_number": 30
"prompt_number": 102
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sm\u011brodatn\u00e1 odchylka tlaku"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(ph)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 31,
"text": [
"2.3781768226942255"
]
}
],
"prompt_number": 31
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sm\u011brodatn\u00e1 odchylka teploty"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(th)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 32,
"text": [
"0.024518806557416305"
]
}
],
"prompt_number": 32
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Otev\u0159eme soubor s m\u011b\u0159en\u00edm z podlahy a zpo\u010d\u00edt\u00e1me znovu statistick\u00e9 parametry. "
]
},
2061,127 → 389,69
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
"prompt_number": 98
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(pl)"
],
"language": "python",
"cell_type": "markdown",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
"98296.0"
"source": [
"M\u011b\u0159en\u00ed tlaku"
]
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(tl)"
"[min(pl),max(pl),std(pl)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
"22.5625"
]
}
"latex": [
"$$\\begin{bmatrix}98296.0, & 98306.75, & 2.24640824429\\end{bmatrix}$$"
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amax(pl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"png": "iVBORw0KGgoAAAANSUhEUgAAAVQAAAAZBAMAAACcDcuAAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n",
"prompt_number": 99,
"text": [
"98306.75"
"[98296.0, 98306.75, 2.24640824429]"
]
}
],
"prompt_number": 17
"prompt_number": 99
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amax(tl)"
],
"language": "python",
"cell_type": "markdown",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
"22.5625"
"source": [
"M\u011b\u0159en\u00ed teploty"
]
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(pl)"
"[min(tl),max(tl),std(tl)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": [
"2.2464082442868674"
]
}
"latex": [
"$$\\begin{bmatrix}22.5625, & 22.5625, & 0.0\\end{bmatrix}$$"
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(tl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"png": "iVBORw0KGgoAAAANSUhEUgAAAOIAAAAZBAMAAADea+8+AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAu90imTIQq4lE7812\nVGZC2YleAAAACXBIWXMAAA7EAAAOxAGVKw4bAAACkklEQVRIDeWWzWsTURTFz2SSyXdqC7pwNWbT\ngoiDBlx2Cmr9WDSLLlwOIlhcmEHUTUWzqLSLgvkPDLpTilkqKBVadOPSvVmLKFQMllSm9933UjKd\neUncxIV3cW/eeb+5Z97MHQimyg7GF9nyDOzx2bHTuX/jaJ6frIIT3UX+Q+oykFl/rJS33mIj/Bg0\nOCpzR4EojhvrF7iBrHzGm8jsghPt5ILgPaw3uKqUV8Fe2FDqUdzy8aSBKI53uM6jIis73gdegBP1\nzq9uUapjUimvHxyeLA2e9pBrIoqXmsi0qLGq7PgMeFTlRBtpcaIfwkUqvliHQoPnbKR/IYobPood\naqAqO2565MiJNtjxuLCQSrSFBs934h0nfGT/UDtV2ZGWp71eSn/frqJ7bbtBgpAffpPvXSwPQoMn\nOjF4zUV2j65UVTlmf5PECYZn7lrdNjaUcgyzbH7g1iOjOJ7WEcVn60iJ9qoqx8QRkjiJxlNW4OGK\n11MMm7RQaHCcEJRhU+qLeMc5QXASPxacHRoeOplUkj+F2B8aPCnuG4fxWl09VVnlGQs+kZyAZdBn\n9ZIc26ykW+JjDYcGx0eauyg+4aLIkyOrdPwM0wEngMwWPJpVOqNQci0kxWz3hwYvujgbg9MrKIkO\nqrJjykXB4UQbLnASX+g9gpUkoa1+O0g9imMR2IrBC00kRQdV2fHM2sodcKq1UEHpOYy6tSEV08VX\nx+r2e2pwc2Zt3o7BcQq3qqKDqAA7bgbBDjglfJiX7nrAynxVKqisXlSfa89Vg+eDILBjcCx9ugdM\nQ1bp2Gulr1lHvxezMwiXkxNzUVgqhZfDVoPwER1vD/MI7w/CR3RshzsOWw3CR3QcZvEX+/+HY3nM\n/1en9wEoqgXKBBSl9QAAAABJRU5ErkJggg==\n",
"prompt_number": 101,
"text": [
"0.0"
"[22.5625, 22.5625, 0.0]"
]
}
],
"prompt_number": 14
"prompt_number": 101
},
{
"cell_type": "markdown",
2212,11 → 482,11
"output_type": "display_data",
"png": 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kSOuPxRinT3NxS2sLACCTCGzduhXBwcH47LPPUF5ejujoaMTExCAtLQ2JiYlY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\nrkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7fd03e30b090>"
"<matplotlib.figure.Figure at 0x7fdc6f159590>"
]
}
],
"prompt_number": 4
"prompt_number": 104
},
{
"cell_type": "code",
2240,11 → 510,11
"output_type": "display_data",
"png": 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fP0737t257bbbeP/999m/fz9JSUmmt4gVEbkhQ8Iytfx7/Kr8er527dol5iQuWrRoUYl5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\ngg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7fd03e275390>"
"<matplotlib.figure.Figure at 0x7fdc6f1eec10>"
]
}
],
"prompt_number": 5
"prompt_number": 103
},
{
"cell_type": "markdown",
2260,23 → 530,13
"from sympy import *\n",
"init_printing()\n",
"\n",
"#p0 = Symbol('p_0')\n",
"#l = Symbol('L')\n",
"#cp = Symbol('C_p')\n",
"#t0 = Symbol('T_0')\n",
"#g = Symbol('g')\n",
"#m = Symbol('M')\n",
"#r = Symbol('R')\n",
"#p = Symbol('p')\n",
"#h = Symbol('h')\n",
"\n",
"po = Symbol('po')\n",
"l = Symbol('l')\n",
"cp = Symbol('cp')\n",
"to = Symbol('to')\n",
"p0 = Symbol('p_0')\n",
"l = Symbol('L')\n",
"cp = Symbol('C_p')\n",
"t0 = Symbol('T_0')\n",
"g = Symbol('g')\n",
"m = Symbol('m')\n",
"r = Symbol('r')\n",
"m = Symbol('M')\n",
"r = Symbol('R')\n",
"p = Symbol('p')\n",
"h = Symbol('h')\n",
"\n",
2289,23 → 549,23
"outputs": [
{
"latex": [
"$$po \\left(- \\frac{h l}{to} + 1\\right)^{\\frac{g m}{l r}} = p$$"
"$$po \\left(- \\frac{L h}{to} + 1\\right)^{\\frac{M g}{L R}} = p$$"
],
"metadata": {},
"output_type": "pyout",
"png": "iVBORw0KGgoAAAANSUhEUgAAAMQAAAA5BAMAAACbhJmfAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n27jGBHDM01qo4RvdYgkTer/nUAAAAABJRU5ErkJggg==\n",
"prompt_number": 26,
"png": "iVBORw0KGgoAAAANSUhEUgAAAM0AAAA7BAMAAAAqWRNeAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nVFRM8z9e2xi+X5NrJwAAAABJRU5ErkJggg==\n",
"prompt_number": 73,
"text": [
" g\u22c5m \n",
" M\u22c5g \n",
" \u2500\u2500\u2500 \n",
" l\u22c5r \n",
" \u239b h\u22c5l \u239e \n",
" L\u22c5R \n",
" \u239b L\u22c5h \u239e \n",
"po\u22c5\u239c- \u2500\u2500\u2500 + 1\u239f = p\n",
" \u239d to \u23a0 "
]
}
],
"prompt_number": 26
"prompt_number": 73
},
{
"cell_type": "markdown",
2318,100 → 578,145
"cell_type": "code",
"collapsed": false,
"input": [
"#bf.subs(p0, 101325,simultaneous=True); # standardn\u00ed tlak v Pa na hladin\u011b mo\u0159e\n",
"#bf.subs(l, 0.0065,simultaneous=True); # Pokles teploty s v\u00fd\u0161kou [K/m]\n",
"#bf.subs(cp, 1007,simultaneous=True); # specifick\u00e9 teplo p\u0159i konstantn\u00edm tlaku J/(kg\u2022K)\n",
"#bf.subs(t0, 288.15,simultaneous=True); # standardn\u00ed teplota na hladin\u011b mo\u0159e K\n",
"#bf.subs(g, 9.80665,simultaneous=True); # standardn\u00ed gravita\u010dn\u00ed zrychlen\u00ed na povrchu zem\u011b\n",
"#bf.subs(m, 0.0289644,simultaneous=True); # mol\u00e1rn\u00ed hmotnost such\u00e9ho vzduchu\tkg/mol\n",
"#bf.subs(r, 8.31447,simultaneous=True); # univerz\u00e1ln\u00ed plynov\u00e1 konstanta J/(mol\u2022K)\n",
"solve(bf, h)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"latex": [
"$$\\begin{bmatrix}- \\frac{to}{L} \\left(\\left(\\frac{p}{po}\\right)^{\\frac{L R}{M g}} - 1\\right)\\end{bmatrix}$$"
],
"metadata": {},
"output_type": "pyout",
"png": "iVBORw0KGgoAAAANSUhEUgAAAMAAAAA0BAMAAAAu8So7AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n",
"prompt_number": 74,
"text": [
"\u23a1 \u239b L\u22c5R \u239e \u23a4\n",
"\u23a2 \u239c \u2500\u2500\u2500 \u239f \u23a5\n",
"\u23a2 \u239c M\u22c5g \u239f \u23a5\n",
"\u23a2 \u239c\u239bp \u239e \u239f \u23a5\n",
"\u23a2-to\u22c5\u239c\u239c\u2500\u2500\u239f - 1\u239f \u23a5\n",
"\u23a2 \u239d\u239dpo\u23a0 \u23a0 \u23a5\n",
"\u23a2\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u23a5\n",
"\u23a3 L \u23a6"
]
}
],
"prompt_number": 74
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def compute_altitude(pressure):\n",
" p0 = 101325 # standardn\u00ed tlak v Pa na hladin\u011b mo\u0159e\n",
" l = 0.0065 # Pokles teploty s v\u00fd\u0161kou [K/m]\n",
" cp = 1007 # specifick\u00e9 teplo p\u0159i konstantn\u00edm tlaku J/(kg\u2022K)\n",
" t0 = 288.15 # standardn\u00ed teplota na hladin\u011b mo\u0159e K\n",
" g = 9.80665 # standardn\u00ed gravita\u010dn\u00ed zrychlen\u00ed na povrchu zem\u011b\n",
" m = 0.0289644 # mol\u00e1rn\u00ed hmotnost such\u00e9ho vzduchu\tkg/mol\n",
" r = 8.31447 # univerz\u00e1ln\u00ed plynov\u00e1 konstanta J/(mol\u2022K)\n",
"\n",
"bfh=solve(bf, h)\n",
"\n",
"#bfh.subs([(p0,101325), (l,0.0065), (cp,1007), (t0,288.15), (g,9.80665), (m,0.0289644), (r, 8.31447), (p, 98296.0)],simultaneous=True).evalf()\n",
"\n",
"\n",
"\n",
"#bf.subs(p, 98296.0)\n",
"#N(bf,5)\n",
"#bf.evalf(n=3)"
" return ((-t0/l)*((pressure/p0)**((l*r)/(m*g)) -1))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 27
"prompt_number": 77
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nyn\u00ed je mo\u017en\u00e9 spo\u010d\u00edtat nadmo\u0159skou v\u00fd\u0161ku pro pr\u016fm\u011brn\u00fd, minim\u00e1ln\u00ed a maxim\u00e1ln\u00ed tlak nam\u011b\u0159en\u00fd na podlaze."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"lambdify(bf,h)"
"[compute_altitude(average(pl)), compute_altitude(min(pl)), compute_altitude(max(pl))]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (<string>, line 1)",
"output_type": "pyerr",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<string>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m lambda po*(-h*l/to + 1)**(g*m/(l*r)) == p: (h)\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
"latex": [
"$$\\begin{bmatrix}254.884550761, & 255.253104054, & 254.336010772\\end{bmatrix}$$"
],
"metadata": {},
"output_type": "pyout",
"png": "iVBORw0KGgoAAAANSUhEUgAAAcYAAAAZBAMAAABZU5NUAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\noUX/AG/BhazV5YXLAAAAAElFTkSuQmCC\n",
"prompt_number": 105,
"text": [
"[254.884550761, 255.253104054, 254.336010772]"
]
}
],
"prompt_number": 28
"prompt_number": 105
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A pro pr\u016fm\u011brn\u00fd, minim\u00e1ln\u00ed a maxim\u00e1ln\u00ed tlak nam\u011b\u0159en\u00fd na stole."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"type(cp)"
"[compute_altitude(average(ph)), compute_altitude(min(ph)), compute_altitude(max(ph))]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"latex": [
"$$\\begin{bmatrix}255.976385359, & 256.426248725, & 255.701016336\\end{bmatrix}$$"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 60,
"png": "iVBORw0KGgoAAAANSUhEUgAAAcYAAAAZBAMAAABZU5NUAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\naFkqAAAAAElFTkSuQmCC\n",
"prompt_number": 106,
"text": [
"sympy.core.symbol.Symbol"
"[255.976385359, 256.426248725, 255.701016336]"
]
}
],
"prompt_number": 60
"prompt_number": 106
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Z nam\u011b\u0159en\u00fdch hodnot je vyd\u011bt, \u017ee tlakov\u00e1 v\u00fd\u0161ka stolu sed\u00ed p\u0159ibli\u017en\u011b s re\u00e1lnou v\u00fd\u0161kou 1 m. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"\n",
"import sys\n",
"import time\n",
"\n",
"\n",
"\n",
"from IPython.display import clear_output\n",
"for i in range(10):\n",
" time.sleep(0.25)\n",
" clear_output()\n",
" print i\n",
" sys.stdout.flush()\n",
"\n"
" Out[106][0] - Out[105][0]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"latex": [
"$$1.09183459838$$"
],
"metadata": {},
"output_type": "pyout",
"png": "iVBORw0KGgoAAAANSUhEUgAAAH8AAAAPBAMAAAA/sQ3hAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nrr9tDt9BYd4cugAAAABJRU5ErkJggg==\n",
"prompt_number": 110,
"text": [
"9\n"
"1.09183459838"
]
}
],
"prompt_number": 10
"prompt_number": 110
},
{
"cell_type": "markdown",
2425,7 → 730,7
"Absolutn\u00ed kalibrace tlaku\n",
"------------------\n",
"\n",
"V p\u0159\u00edpad\u011b, \u017ee by jsme pot\u0159ebovali tlakov\u00fd senzor pota\u017emo v\u00fd\u0161kom\u011br absolutn\u011b zkalibrovat, tak si k tomuto \u00fa\u010delu m\u016f\u017eeme p\u016fj\u010dit data z n\u011bkter\u00e9 kalibrovan\u00e9 stanice. V Praze pou\u017eijeme nap\u0159\u00edklad stanici CHMI pro Prahu 10. "
"V p\u0159\u00edpad\u011b, \u017ee by jsme pot\u0159ebovali tlakov\u00fd senzor pota\u017emo v\u00fd\u0161kom\u011br absolutn\u011b zkalibrovat, tak si k tomuto \u00fa\u010delu m\u016f\u017eeme p\u016fj\u010dit data z n\u011bkter\u00e9 kalibrovan\u00e9 stanice. V Praze pou\u017eijeme nap\u0159\u00edklad stanici CHMI pro Prahu 10. Ud\u00e1van\u00fd tlak je ale p\u0159epo\u010d\u00edtan\u00fd na hladinu mo\u0159e. Proto by bylo pot\u0159eba obsolutn\u00ed tlak op\u011bt spo\u010d\u00edtat z nadmo\u0159sk\u00e9 v\u00fd\u0161ky stanice. "
]
},
{