No changes between revisions
/Modules/Sensors/ALTIMET01A/SW/Python/ALTIMET_test.ipynb
1,6 → 1,6
{
"metadata": {
"name": "ALTIMET_test"
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
11,11 → 11,19
"cell_type": "markdown",
"metadata": {},
"source": [
"Uk\u00e1zka pou\u017eit\u00ed n\u00e1stroje IPython na manipulaci se senzorov\u00fdmi daty\n",
"Uk\u00e1zka pou\u017eit\u00ed n\u00e1stroje IPython na manipulaci se senzorov\u00fdmi daty z modulu ALTIMET01A\n",
"=======\n",
"\n",
"P\u0159\u00edklad vyu\u017e\u00edv\u00e1 moduluvou stavebnici MLAB a jej\u00ed knihovnu 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)\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",
"* Tlakov\u00e9 rozli\u0161en\u00ed: 1,5 Pa\n",
"* Relativn\u00ed p\u0159esnost: 0,1 kPa\n",
"* Absolutn\u00ed tlakov\u00e1 p\u0159esnost 0,4 kPa\n",
"\n",
"Katalogov\u00fd rozsah m\u011b\u0159en\u00ed tlaku je 50 kPa a\u017e 110 kPa, co\u017e by odpov\u00eddalo rozsahu m\u011b\u0159en\u00fdch v\u00fd\u0161ek p\u0159ibli\u017en\u011b -1 km a\u017e 6 km. Z [jin\u00fdch experiment\u016f](http://wiki.mlab.cz/doku.php?id=cs:altimet#parametry) s t\u00edmto tlakov\u00fdm \u010didlem ale v\u00edme \u017ee jeho m\u011b\u0159\u00edc\u00ed rozsah je podstatn\u011b v\u011bt\u0161\u00ed zejm\u00e9na v oblasti n\u00edzk\u00fdch tlak\u016f, a lze s n\u00edm m\u011b\u0159it minim\u00e1ln\u011b do v\u00fd\u0161ky 16 km. \n",
"\n",
"Zprovozn\u011bn\u00ed demo k\u00f3du\n",
"---------------------\n",
"\n",
43,7 → 51,7
"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 006\tI2C adapter\r\n"
"i2c-8\ti2c \ti2c-tiny-usb at bus 001 device 008\tI2C adapter\r\n"
]
}
],
137,7 → 145,7
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
"prompt_number": 8
},
{
"cell_type": "markdown",
156,14 → 164,865
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"WARNING:pymlab.sensors.iic:HID device does not exist, we will try SMBus directly...\n"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nyn\u00ed u\u017e m\u016f\u017eeme p\u0159\u00edmo komunikovat se za\u0159\u00edzen\u00edm pojmenovan\u00fdm jako gauge. A vy\u010d\u00edst z n\u011bj s\u00e9rii 100 vzork\u016f. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"MEASUREMENTS = 100\n",
"t = np.zeros(MEASUREMENTS)\n",
"p = np.zeros(MEASUREMENTS)\n",
"\n",
"# 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])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"(0, 22.625, 98286.0)\n",
"(1, 22.625, 98288.25)"
]
},
{
"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)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(17, 22.625, 98286.5)"
]
},
{
"output_type": "stream",
"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)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(33, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(34, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(35, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(36, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(37, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(38, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(39, 22.625, 98286.25)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(40, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(41, 22.625, 98290.75)"
]
},
{
"output_type": "stream",
"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)"
]
},
{
"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
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nam\u011b\u0159en\u00e1 data si ulo\u017e\u00edme pro pozd\u011bj\u0161\u00ed zpracov\u00e1n\u00ed. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"np.savez(\"data_desk\", temp = t, preassure = p)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
"prompt_number": 35
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nyn\u00ed u\u017e m\u016f\u017eeme p\u0159\u00edmo komunikovat se za\u0159\u00edzen\u00edm pojmenovan\u00fdm jako gauge."
"Nyn\u00ed p\u0159em\u00edst\u00edme m\u011b\u0159\u00edc\u00ed p\u0159\u00edpravek ze stolu na zem, a zopakujeme m\u011b\u0159en\u00ed"
]
},
{
174,8 → 1033,8
"t = np.zeros(MEASUREMENTS)\n",
"p = np.zeros(MEASUREMENTS)\n",
"\n",
"# 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",
"# 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",
" (t[n], p[n]) = gauge.get_tp()\n",
" print(n,t[n], p[n])"
],
186,8 → 1045,8
"output_type": "stream",
"stream": "stdout",
"text": [
"(0, 21.3125, 98476.75)\n",
"(1, 21.3125, 98476.75)"
"(0, 22.5625, 98296.25)\n",
"(1, 22.5625, 98296.25)"
]
},
{
195,7 → 1054,7
"stream": "stdout",
"text": [
"\n",
"(2, 21.3125, 98476.75)"
"(2, 22.5625, 98302.5)"
]
},
{
203,7 → 1062,7
"stream": "stdout",
"text": [
"\n",
"(3, 21.3125, 98480.25)"
"(3, 22.5625, 98302.5)"
]
},
{
211,7 → 1070,7
"stream": "stdout",
"text": [
"\n",
"(4, 21.3125, 98480.25)"
"(4, 22.5625, 98300.25)"
]
},
{
219,7 → 1078,7
"stream": "stdout",
"text": [
"\n",
"(5, 21.3125, 98480.25)"
"(5, 22.5625, 98300.25)"
]
},
{
227,7 → 1086,7
"stream": "stdout",
"text": [
"\n",
"(6, 21.3125, 98480.25)"
"(6, 22.5625, 98302.0)"
]
},
{
235,7 → 1094,7
"stream": "stdout",
"text": [
"\n",
"(7, 21.3125, 98476.75)"
"(7, 22.5625, 98302.0)"
]
},
{
243,7 → 1102,7
"stream": "stdout",
"text": [
"\n",
"(8, 21.3125, 98476.75)"
"(8, 22.5625, 98300.75)"
]
},
{
251,7 → 1110,7
"stream": "stdout",
"text": [
"\n",
"(9, 21.3125, 98480.5)"
"(9, 22.5625, 98300.75)"
]
},
{
259,7 → 1118,7
"stream": "stdout",
"text": [
"\n",
"(10, 21.3125, 98480.5)"
"(10, 22.5625, 98304.5)"
]
},
{
267,7 → 1126,7
"stream": "stdout",
"text": [
"\n",
"(11, 21.3125, 98482.0)"
"(11, 22.5625, 98304.5)"
]
},
{
275,7 → 1134,7
"stream": "stdout",
"text": [
"\n",
"(12, 21.3125, 98482.0)"
"(12, 22.5625, 98304.25)"
]
},
{
283,7 → 1142,7
"stream": "stdout",
"text": [
"\n",
"(13, 21.3125, 98484.5)"
"(13, 22.5625, 98304.25)"
]
},
{
291,7 → 1150,7
"stream": "stdout",
"text": [
"\n",
"(14, 21.3125, 98480.5)"
"(14, 22.5625, 98300.25)"
]
},
{
299,7 → 1158,7
"stream": "stdout",
"text": [
"\n",
"(15, 21.3125, 98476.5)"
"(15, 22.5625, 98300.25)"
]
},
{
307,7 → 1166,7
"stream": "stdout",
"text": [
"\n",
"(16, 21.3125, 98480.5)"
"(16, 22.5625, 98300.25)"
]
},
{
315,7 → 1174,7
"stream": "stdout",
"text": [
"\n",
"(17, 21.3125, 98480.5)"
"(17, 22.5625, 98302.5)"
]
},
{
323,7 → 1182,7
"stream": "stdout",
"text": [
"\n",
"(18, 21.3125, 98482.25)"
"(18, 22.5625, 98302.5)"
]
},
{
331,7 → 1190,7
"stream": "stdout",
"text": [
"\n",
"(19, 21.3125, 98482.25)"
"(19, 22.5625, 98304.0)"
]
},
{
339,7 → 1198,7
"stream": "stdout",
"text": [
"\n",
"(20, 21.3125, 98482.25)"
"(20, 22.5625, 98304.0)"
]
},
{
347,7 → 1206,7
"stream": "stdout",
"text": [
"\n",
"(21, 21.3125, 98482.25)"
"(21, 22.5625, 98298.5)"
]
},
{
355,7 → 1214,7
"stream": "stdout",
"text": [
"\n",
"(22, 21.3125, 98482.75)"
"(22, 22.5625, 98298.5)"
]
},
{
363,7 → 1222,7
"stream": "stdout",
"text": [
"\n",
"(23, 21.3125, 98482.75)"
"(23, 22.5625, 98298.5)"
]
},
{
371,7 → 1230,7
"stream": "stdout",
"text": [
"\n",
"(24, 21.3125, 98478.5)"
"(24, 22.5625, 98298.5)"
]
},
{
379,7 → 1238,7
"stream": "stdout",
"text": [
"\n",
"(25, 21.3125, 98478.5)"
"(25, 22.5625, 98300.5)"
]
},
{
387,7 → 1246,7
"stream": "stdout",
"text": [
"\n",
"(26, 21.3125, 98482.5)"
"(26, 22.5625, 98300.5)"
]
},
{
395,7 → 1254,7
"stream": "stdout",
"text": [
"\n",
"(27, 21.3125, 98482.5)"
"(27, 22.5625, 98296.0)"
]
},
{
403,7 → 1262,7
"stream": "stdout",
"text": [
"\n",
"(28, 21.3125, 98486.75)"
"(28, 22.5625, 98300.0)"
]
},
{
411,7 → 1270,7
"stream": "stdout",
"text": [
"\n",
"(29, 21.3125, 98482.75)"
"(29, 22.5625, 98306.75)"
]
},
{
419,7 → 1278,7
"stream": "stdout",
"text": [
"\n",
"(30, 21.3125, 98482.75)"
"(30, 22.5625, 98302.75)"
]
},
{
427,7 → 1286,7
"stream": "stdout",
"text": [
"\n",
"(31, 21.3125, 98480.25)"
"(31, 22.5625, 98302.75)"
]
},
{
435,7 → 1294,7
"stream": "stdout",
"text": [
"\n",
"(32, 21.3125, 98480.25)"
"(32, 22.5625, 98302.75)"
]
},
{
443,7 → 1302,7
"stream": "stdout",
"text": [
"\n",
"(33, 21.3125, 98478.25)"
"(33, 22.5625, 98302.75)"
]
},
{
451,7 → 1310,7
"stream": "stdout",
"text": [
"\n",
"(34, 21.3125, 98478.25)"
"(34, 22.5625, 98302.75)"
]
},
{
459,7 → 1318,7
"stream": "stdout",
"text": [
"\n",
"(35, 21.3125, 98478.25)"
"(35, 22.5625, 98302.75)"
]
},
{
467,7 → 1326,7
"stream": "stdout",
"text": [
"\n",
"(36, 21.3125, 98478.25)"
"(36, 22.5625, 98300.25)"
]
},
{
475,7 → 1334,7
"stream": "stdout",
"text": [
"\n",
"(37, 21.3125, 98478.25)"
"(37, 22.5625, 98300.25)"
]
},
{
483,7 → 1342,7
"stream": "stdout",
"text": [
"\n",
"(38, 21.3125, 98478.25)"
"(38, 22.5625, 98296.5)"
]
},
{
491,7 → 1350,7
"stream": "stdout",
"text": [
"\n",
"(39, 21.3125, 98480.75)"
"(39, 22.5625, 98296.5)"
]
},
{
499,7 → 1358,7
"stream": "stdout",
"text": [
"\n",
"(40, 21.3125, 98480.75)"
"(40, 22.5625, 98296.5)"
]
},
{
507,7 → 1366,7
"stream": "stdout",
"text": [
"\n",
"(41, 21.3125, 98482.25)"
"(41, 22.5625, 98296.5)"
]
},
{
515,7 → 1374,7
"stream": "stdout",
"text": [
"\n",
"(42, 21.3125, 98482.25)"
"(42, 22.5625, 98300.0)"
]
},
{
523,7 → 1382,7
"stream": "stdout",
"text": [
"\n",
"(43, 21.3125, 98478.25)"
"(43, 22.5625, 98300.0)"
]
},
{
531,7 → 1390,7
"stream": "stdout",
"text": [
"\n",
"(44, 21.3125, 98478.25)"
"(44, 22.5625, 98300.0)"
]
},
{
539,7 → 1398,7
"stream": "stdout",
"text": [
"\n",
"(45, 21.3125, 98478.25)"
"(45, 22.5625, 98300.5)"
]
},
{
547,7 → 1406,7
"stream": "stdout",
"text": [
"\n",
"(46, 21.3125, 98482.0)"
"(46, 22.5625, 98300.5)"
]
},
{
555,7 → 1414,7
"stream": "stdout",
"text": [
"\n",
"(47, 21.3125, 98482.0)"
"(47, 22.5625, 98300.5)"
]
},
{
563,7 → 1422,7
"stream": "stdout",
"text": [
"\n",
"(48, 21.3125, 98484.5)"
"(48, 22.5625, 98300.5)"
]
},
{
571,7 → 1430,7
"stream": "stdout",
"text": [
"\n",
"(49, 21.3125, 98484.5)"
"(49, 22.5625, 98300.75)"
]
},
{
579,7 → 1438,7
"stream": "stdout",
"text": [
"\n",
"(50, 21.3125, 98476.5)"
"(50, 22.5625, 98300.75)"
]
},
{
587,7 → 1446,7
"stream": "stdout",
"text": [
"\n",
"(51, 21.3125, 98476.5)"
"(51, 22.5625, 98298.75)"
]
},
{
595,7 → 1454,7
"stream": "stdout",
"text": [
"\n",
"(52, 21.3125, 98478.75)"
"(52, 22.5625, 98298.75)"
]
},
{
603,7 → 1462,7
"stream": "stdout",
"text": [
"\n",
"(53, 21.3125, 98478.75)"
"(53, 22.5625, 98298.75)"
]
},
{
611,7 → 1470,7
"stream": "stdout",
"text": [
"\n",
"(54, 21.3125, 98480.25)"
"(54, 22.5625, 98298.75)"
]
},
{
619,7 → 1478,7
"stream": "stdout",
"text": [
"\n",
"(55, 21.3125, 98480.25)"
"(55, 22.5625, 98300.5)"
]
},
{
627,7 → 1486,7
"stream": "stdout",
"text": [
"\n",
"(56, 21.3125, 98480.0)"
"(56, 22.5625, 98300.5)"
]
},
{
635,7 → 1494,7
"stream": "stdout",
"text": [
"\n",
"(57, 21.3125, 98480.0)"
"(57, 22.5625, 98296.75)"
]
},
{
643,7 → 1502,7
"stream": "stdout",
"text": [
"\n",
"(58, 21.3125, 98482.0)"
"(58, 22.5625, 98296.75)"
]
},
{
651,7 → 1510,7
"stream": "stdout",
"text": [
"\n",
"(59, 21.3125, 98482.0)"
"(59, 22.5625, 98296.75)"
]
},
{
659,7 → 1518,7
"stream": "stdout",
"text": [
"\n",
"(60, 21.3125, 98482.0)"
"(60, 22.5625, 98298.25)"
]
},
{
667,7 → 1526,7
"stream": "stdout",
"text": [
"\n",
"(61, 21.3125, 98476.25)"
"(61, 22.5625, 98298.25)"
]
},
{
675,7 → 1534,7
"stream": "stdout",
"text": [
"\n",
"(62, 21.3125, 98476.25)"
"(62, 22.5625, 98298.25)"
]
},
{
683,7 → 1542,7
"stream": "stdout",
"text": [
"\n",
"(63, 21.3125, 98480.75)"
"(63, 22.5625, 98298.25)"
]
},
{
691,7 → 1550,7
"stream": "stdout",
"text": [
"\n",
"(64, 21.3125, 98480.75)"
"(64, 22.5625, 98304.25)"
]
},
{
699,7 → 1558,7
"stream": "stdout",
"text": [
"\n",
"(65, 21.3125, 98480.5)"
"(65, 22.5625, 98304.25)"
]
},
{
707,7 → 1566,7
"stream": "stdout",
"text": [
"\n",
"(66, 21.3125, 98480.5)"
"(66, 22.5625, 98298.0)"
]
},
{
715,7 → 1574,7
"stream": "stdout",
"text": [
"\n",
"(67, 21.3125, 98482.0)"
"(67, 22.5625, 98298.0)"
]
},
{
723,7 → 1582,7
"stream": "stdout",
"text": [
"\n",
"(68, 21.3125, 98482.0)"
"(68, 22.5625, 98302.5)"
]
},
{
731,7 → 1590,7
"stream": "stdout",
"text": [
"\n",
"(69, 21.3125, 98482.25)"
"(69, 22.5625, 98302.5)"
]
},
{
739,7 → 1598,7
"stream": "stdout",
"text": [
"\n",
"(70, 21.3125, 98482.25)"
"(70, 22.5625, 98302.5)"
]
},
{
747,7 → 1606,7
"stream": "stdout",
"text": [
"\n",
"(71, 21.375, 98482.75)"
"(71, 22.5625, 98302.5)"
]
},
{
755,7 → 1614,7
"stream": "stdout",
"text": [
"\n",
"(72, 21.375, 98486.75)"
"(72, 22.5625, 98298.0)"
]
},
{
763,7 → 1622,7
"stream": "stdout",
"text": [
"\n",
"(73, 21.3125, 98484.25)"
"(73, 22.5625, 98298.0)"
]
},
{
771,7 → 1630,7
"stream": "stdout",
"text": [
"\n",
"(74, 21.3125, 98480.25)"
"(74, 22.5625, 98298.0)"
]
},
{
779,7 → 1638,7
"stream": "stdout",
"text": [
"\n",
"(75, 21.3125, 98480.25)"
"(75, 22.5625, 98302.5)"
]
},
{
787,7 → 1646,7
"stream": "stdout",
"text": [
"\n",
"(76, 21.3125, 98480.5)"
"(76, 22.5625, 98302.5)"
]
},
{
795,7 → 1654,7
"stream": "stdout",
"text": [
"\n",
"(77, 21.3125, 98480.5)"
"(77, 22.5625, 98300.75)"
]
},
{
803,7 → 1662,7
"stream": "stdout",
"text": [
"\n",
"(78, 21.3125, 98482.5)"
"(78, 22.5625, 98300.75)"
]
},
{
811,7 → 1670,7
"stream": "stdout",
"text": [
"\n",
"(79, 21.3125, 98482.5)"
"(79, 22.5625, 98300.25)"
]
},
{
819,7 → 1678,7
"stream": "stdout",
"text": [
"\n",
"(80, 21.3125, 98482.0)"
"(80, 22.5625, 98300.25)"
]
},
{
827,7 → 1686,7
"stream": "stdout",
"text": [
"\n",
"(81, 21.3125, 98482.0)"
"(81, 22.5625, 98300.0)"
]
},
{
835,7 → 1694,7
"stream": "stdout",
"text": [
"\n",
"(82, 21.375, 98480.0)"
"(82, 22.5625, 98300.0)"
]
},
{
843,7 → 1702,7
"stream": "stdout",
"text": [
"\n",
"(83, 21.375, 98480.0)"
"(83, 22.5625, 98300.0)"
]
},
{
851,7 → 1710,7
"stream": "stdout",
"text": [
"\n",
"(84, 21.3125, 98476.0)"
"(84, 22.5625, 98300.0)"
]
},
{
859,7 → 1718,7
"stream": "stdout",
"text": [
"\n",
"(85, 21.3125, 98476.0)"
"(85, 22.5625, 98298.75)"
]
},
{
867,7 → 1726,7
"stream": "stdout",
"text": [
"\n",
"(86, 21.3125, 98478.5)"
"(86, 22.5625, 98302.75)"
]
},
{
875,7 → 1734,7
"stream": "stdout",
"text": [
"\n",
"(87, 21.3125, 98478.5)"
"(87, 22.5625, 98302.75)"
]
},
{
883,7 → 1742,7
"stream": "stdout",
"text": [
"\n",
"(88, 21.3125, 98478.5)"
"(88, 22.5625, 98300.5)"
]
},
{
891,7 → 1750,7
"stream": "stdout",
"text": [
"\n",
"(89, 21.3125, 98478.0)"
"(89, 22.5625, 98300.5)"
]
},
{
899,7 → 1758,7
"stream": "stdout",
"text": [
"\n",
"(90, 21.375, 98478.0)"
"(90, 22.5625, 98298.5)"
]
},
{
907,7 → 1766,7
"stream": "stdout",
"text": [
"\n",
"(91, 21.375, 98484.0)"
"(91, 22.5625, 98298.5)"
]
},
{
915,7 → 1774,7
"stream": "stdout",
"text": [
"\n",
"(92, 21.3125, 98484.0)"
"(92, 22.5625, 98300.0)"
]
},
{
923,7 → 1782,7
"stream": "stdout",
"text": [
"\n",
"(93, 21.3125, 98480.0)"
"(93, 22.5625, 98300.0)"
]
},
{
931,7 → 1790,7
"stream": "stdout",
"text": [
"\n",
"(94, 21.3125, 98480.0)"
"(94, 22.5625, 98298.5)"
]
},
{
939,7 → 1798,7
"stream": "stdout",
"text": [
"\n",
"(95, 21.3125, 98478.5)"
"(95, 22.5625, 98298.5)"
]
},
{
947,7 → 1806,7
"stream": "stdout",
"text": [
"\n",
"(96, 21.3125, 98478.5)"
"(96, 22.5625, 98298.75)"
]
},
{
955,7 → 1814,7
"stream": "stdout",
"text": [
"\n",
"(97, 21.3125, 98476.75)"
"(97, 22.5625, 98298.75)"
]
},
{
963,7 → 1822,7
"stream": "stdout",
"text": [
"\n",
"(98, 21.3125, 98476.75)"
"(98, 22.5625, 98300.75)"
]
},
{
971,7 → 1830,7
"stream": "stdout",
"text": [
"\n",
"(99, 21.3125, 98482.75)"
"(99, 22.5625, 98300.75)"
]
},
{
982,45 → 1841,85
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}
],
"prompt_number": 6
"prompt_number": 10
},
{
"cell_type": "code",
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"input": [
"np.savez(\"data_ground\", t, p)\n",
"#np.savez(\"data_top\", t, p)"
"np.savez(\"data_floor\", temp = t, preassure = p)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"D\u00e1le bude pracov\u00e1no s daty ulo\u017een\u00fdmi do souboru, kter\u00e9 m\u016f\u017eeme na\u010d\u00edst n\u00e1sleduj\u00edc\u00edm blokem."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(p)"
"data = np.load('./data_desk.npz')\n",
"th=data['temp']\n",
"ph=data['preassure']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 24
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Na\u010dten\u00e1 data nyn\u00ed budeme statisticky analyzovat. Najdeme minim\u00e1ln\u00ed a maxim\u00e1ln\u00ed hodnoty a spo\u010d\u00edt\u00e1me sm\u011brodatnou odchylku. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota tlaku:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(ph)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"prompt_number": 27,
"text": [
"96972.25"
"98346.0"
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}
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"prompt_number": 7
"prompt_number": 27
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota teploty:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amax(p)"
"amin(th)"
],
"language": "python",
"metadata": {},
1028,19 → 1927,26
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 8,
"prompt_number": 28,
"text": [
"96838.75"
"22.5625"
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"prompt_number": 8
"prompt_number": 28
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Maxim\u00e1ln\u00ed tlak"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(p)"
"amax(ph)"
],
"language": "python",
"metadata": {},
1048,19 → 1954,26
{
"metadata": {},
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"prompt_number": 29,
"text": [
"2.3585270827361722"
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"Maxim\u00e1ln\u00ed hodnota teploty"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.plot(p)"
"amax(th)"
],
"language": "python",
"metadata": {},
1068,27 → 1981,53
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"prompt_number": 30,
"text": [
"[<matplotlib.lines.Line2D at 0xa00bb2c>]"
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},
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"prompt_number": 30
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{
"cell_type": "markdown",
"metadata": {},
"source": [
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]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(ph)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
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lM5Md3A0Nxt5nV+TiJkE3WuEC2OPQ4+OZiFlxL1gRtchFa0yC0w5dPvhK3Ffk\nneh2QJFL8HNa8+i0tLDtlpDAomMncGXkoiYmajm6mcjF52M90kZLF+1y6G7K0M049MxMtm38fv3v\nCeXQAes7Ro1GLh0d1ty60ChShy6fHiEmJjJzxXd2MsNj5uqEt05RI2WLWg49MZHpl1Oxi62CfuEC\nWyn/Gn/UjZnIBbA2cgnVDjV4jVyMXAKaEfT4eDaQxsjJI5RDB6wXLqORy5kzbP81OvQ9XLQcOhCZ\nHP30abZNY2ONv5c3h65W5aJUtqjl0BMS2LHjVKWLrbtpbS2rlJCPwBsyhH1hpQ5OLTFRc+hmIhfA\nnKDbGbnY0SmamMjWv5GD30zkAhiPXfQ4dKtr0Y1WuTiRnwPaDh2ITI4ezkyfPGbocj1Silz0OHQz\n8aNV2C7oSuIcH8+mLf3ss57/0xITLYduRtD1jFqV0tXFNnokMvSuLnbyGjBAf/vUMBq7mHHogPEd\n2SmHriboSlcxTuTngDscerjzCBkVdKerXPR2iiqtd3FgoFiW7VlBVxNnNXdsxqFHKnKRz9Qnx0pB\nr69nB62Z7yUnUoJudEd2KkOXr1Otq5hod+jhCLqR9jk52yKgf6SomkMXzYnPF4UOHVAW044O1jus\n5kqtrHJRa4MWoU4cVnaKWhG3iBgV9HAiFyPZoRMOXW1fUVtH5NDNvdfIdhNnMLTi7kNmCbfKRbov\nezZDVxskBCiXLp48ycRc7b6CSpMWiXNNa92LUI0BA9jOdO6cvteHOnFYmaE7JehtbUBjozkR4yFD\nV4vn1NYROXRz7zWy3cT83Ohc+lYSbpWLdF+myEXyeq1LfaVJi8zGLQDbgbRq4uWEyuqtjFycEvQT\nJ9jrzVR1GN2R3ZKhA9qCTg7dOEa2m9MdokD4VS5yh+5ZQTcSuYQSdCWHbjZu0WqHGnZGLm4RdK2T\ncCiMXmo6kaGrVSlpRS5OOPRLL2Xfu6PDOYd+8mRkMnQ3CLra0H+9k3NJ9+WMDLbfKN2pym4ci1wu\nv5ztMNKYIVR2m5bGMnZpNYLZChcRI4KuJ3JR24i8ZOhmO0QBfqtcAPc59JgYVgN+5kx0OHQnK1yA\n8Cfnku7LcXFMq8zezzccbBN0QdAWh7g4JurS0sVQYiLeeb2xMfBcJAU91LLi4rQdulbO7xaHrnUS\nDkVaGjs4lW64q4TWDaJFnM7QnXLoQCBi9HqG7nSFCxD+DS7kV5tO5ei2CXpTExthprWh5GKqxx3K\nc3StgT6ONwl6AAAV/ElEQVR6cFPkIr1aCedyV06ouUqkhBO5xMSwgSh6d2S9kYvdI0UB93WKAoGI\n0QmH7vezYgGzVyd9++qfWM0tkYtU0P1+dszKZxxVO5HKT7pOVbrYJuh6nJ5cTPWUy8lzdKscup4d\nz+4qFzc49HAiF8BY7KI3crE6Q9fr0AXBWUF30qGfOcNyfDPVYwB7X1ycvqs1Nwi6vFNUjFvklTdq\nJ1L5SdepjlHTdywKhR6nd+WVQEVFYCL/48eNO/RwBT01lR24X3wRuMFxQoJylYfdVS7nzwfWhZUO\n/ZJLWLZfVxe4hBQHQcgJJ3IBQl9qit/P72cHkLyKQI6TGfr58+xAd6o+OtIO3e8PrOuqqvD3P3Hb\nKa2/jo7AFemZM84LutyhK8UtANtf29rYupLOcSM/6XouctHj9MaPB159lb1u4EB2iTd4sPZ75IOL\nwo1cfD7g2muB0aNZG9LTgYceUn6tnYKelQW8805gXXR1mZ9HQ47PBxQUsBPowIHsJPb008qvDWf+\nDkD7UvNHP2Lrd+BANvXDiBGha4+djFycGlQkEkmH7vcD06axbT9wIFBcDOTnh/eZatuuq4vtj5dd\nxpb1i1+wfdNJ5FUuSiWLQGCmS/m6V3LoTkQutjl0PfHJpEnBHZx6kA//D9ehA8Cbbwb+/ugjYNEi\n5deFOnmEI+iTJ2vfeT5cPvww8Pfy5eoRTLgVB2qXmm+/Daxfz/YL+eybWkRici6AfeeOjmBn5mTc\nArBlV1ZGxqGXlrIrVbHvywrUtt3Onez3+fPODiaSInfoShUuIikpzHxKj5Pm5uD92qnIxVGHbga5\nQ7dC0KUUFACff648etROhx5JtMRAT0elFkqXmqdOAQsXAs8/b0zMgcjMhw4wYZG7dLc7dKsEfdcu\ndsX2wgvWiTmgvu1efBG46y73iDmgP3IB2D4s1wf5STcqIxczKDl0KyawEomLY1cOf/97z/95RdC1\nLtf1dFRqIb/UFAQm5nffDVx/vfHPi1TkAvQUdDc49NOnlU+yWtO4GqGxEZgzB/j9781XN6mhtO3a\n2ljMOneutcsKFyVBV+vfER26FLdUuTgauZhBKUO3utNq8mRg+3Zg5szg5+2MXCKJmkMXJ0kK5wQ5\ncCBw5Ajwhz+wx59+yrbXsmXmPi9Sk3MB7nXoSidZsw69uRl4+eXAnaXeeAOYPh245Zbw2ytHadtt\n3gyMGcP6UNyEvMpFy6GnpPS8xZzcoaemsueeeSZw1TNjBusrsxNbq1zsilysztDlXHcd68CTY9ah\n+/3MqVp5ORsOoUa7hXMpPGwYcPvtwMcfs8exsUxAzJ7MIjWwCOhZr+8Gh37qlHKGbrZTdPVq4PXX\nWbQIsI7pX/wi/LYqobTtxLjFbRjJ0JUiF7lD9/mAn/0M2LuXPd69m93O7+GHrW23HNsEva6O9WJb\njVLZopWRCwBcdRVw4EDPA8msoIvu3C2ZodZot3DiFoA5ndWrw/sMKU5HLjk51i3bKOLw8d69e5oB\nM52igsAEdc0a4JprrGunGvJtV18PbN0K/PGP9i/bKEpVLkYduvzY+c//DPy9dKn9I3sBGzP05OSe\no6ysQO7Q7Yhc+vYFxo1jnUVSzEYubopbAG2HHk6HqB1EamARoBy5OOnQ+/Rh20PpJCu6XyP3it2z\nh4nWpEnWtVEL+bZ79VVWGnnppZFZvhGMZOhqDl3r2InE3DuAjYJuR9wCsJ2htTVwNrUjcgFY7LJj\nR/BzeuZyEeMVKW4TdDsdutVY6dAFQfukrOTQnczQAbZ8JaGIjWWGSX5jcS0iXV0i33YvvgjMmxeZ\nZRvFaNmiHocuJRJz7wA2Ri52CbrPx25Mcf31TCSrqoAlS6xfzuTJwK9+FfxcKEH3+QITdEmvTtwm\n6Dw5dNGJFhWxxz4f2y7jxxv/rPZ2tn3U5nofOBB4993Asvbts+aeruGQlqZ+QhO3o5rwSOnsBDZu\n7GlS7CQpCXjySeC119jJ9NAh4KabIrd8I4RbtugWh26boD/2mF2fDGzZwjqLRMQOHiv56leBO+5g\nIiCKs568Xoxd3CzoPDn0uDg22EscgPbkk6yDyYygh4rnCgtZ1Yc4BXLv3qyT10mUbuoiIm5HPVcR\nW7cCQ4awuYsixX/8B4tYRC6/3J4Y1gqUqly0yhY959AbGhpwzz334ODBg/D5fFizZg0mScK50aMt\naZ8ieXnsx06Sk9lw5D17Ah1IevJ6pRzdbYLOk0MHgk/Y771nfp7pUFdYsbFsGgg3kZYWPAunFCMi\n4UR1SUpK4GrH7ShFLmr9J/I6dL+fGT+tfcv1Gfr999+PGTNm4PDhw9i/fz9yc3OtbJcrmDw5+BJV\nT17Pg6D37h2oOZfiRocux+gNr6XY1d9iJ2lp6idZvSLR3Mymt7jjDmvb5iWMVLnIIxfRCGn1Tbja\noTc2NmLHjh1Yt24d+5C4OCQnJwe9ZunSpd1/FxUVoYiXU7WE664Dnn024GwaG/VHLlLcJug+X2AH\nk242tzp0KeEKutUlrnaTns7u86pEYiKbJTTUhHavv86uPJzu4HUzvXuz/UMcrn/mjHrk0r8/K8EU\nBHYs6b3ZudLJt7y8HOXl5WG1XYopQa+qqkJ6ejoWLlyIffv2Yfz48Vi9ejX6SU5pUkHnlSlT2ECA\nCRPY49jY0CO9eBB0ILCDSQXd6w7djhJXu8nPV+/EHTsWeOCB0J8RE+PO2m83ER8P5OYGjnWfD/jO\nd9Rf268fm8gsOVnfdBlqDl1udpeZHVL9L0wJemdnJyoqKvCb3/wGEydOxAMPPIDS0lL8wq4hZw6R\nnh58izw98CLoSjtYNDh03gT93/6N/SixahX7IcLH52ODCfUidowmJ4fn0K3GVIaelZWFrKwsTJw4\nEQAwe/ZsVFRUWNowXuFF0JV2MK87dB4jF8KdSHN0PcdNpDJ0U4KemZmJ7OxsVFZWAgC2bt2KUaNG\nWdowXuFF0Hl16ElJrKrAzMHBY+RCuBNp6aKe40YcZNXVZW+7TJctPv3005g7dy7a29sxbNgwrF27\n1sp2cQsvgs6rQ5fOW37FFcbey2PkQrgTaeminuMmNpbtexcu2GuaTAt6fn4+PvroIyvb4gl4EXQl\nhx7uzS0iRTiCTpELYQXSyEXvla1oouw8xmybyyVa4UXQlRx6uDe3iBRmc3SKXAirkEYueq9sI5Gj\nk6BbDC+CzrtDl85brheKXAirkDt0vYJud6ULCbrF8CLo0ejQKXIhrELu0PVGLuTQOYMXQefdoVPk\nQjgJOfQogRdBj1aHToJOWAE59CiBF0FXcgu8OPTMTIpcCGeRli2SQ/cwvAi63C34/SySUJuQyE1Q\n5EI4TWoqOfSogBdBl7sF8c43ahNBuQmKXAinufRSNvtqVxc5dE+jJOidne4TdLlb4CU/B9iESO3t\nxu6nCZCgE9YRF8emoWhsJIfuaXh16DwM+xcR7ytr1KVr3SCaIIwidoySQ/cwvAi6kkPnoUNUxEzs\nQg6dsBKxdJEcuofhRdB5dugACTrhPOTQowBeBD1aHTpFLoRViKWL5NA9DC+CHo0OncoWCStJTWX3\nHr14Uf2G0lLIoXMIL4Lety/bEf1+9jhaHDoJOmEVKSlATQ3bp/SU+5JD5xBeBD0mJnAXFSA6HDpF\nLoSVpKYyQdd73JBD5xBeBB0InqArGhw6RS6ElaSkAJ9/rv+4IYfOITwJunSCrmhx6CTohFWkpgJf\nfEEO3dPwJOjR5tApciGsJCWF3WhFr6ArzXBqNSToFsOToPPs0Pv3Zyehtjb976HIhbCSlBRAEIxH\nLoJgX5tI0C0mPp7N3SLFrYLOs0OPiQHS04FTp/S/hyIXwkpSU9lvvUYoPp7NAXPxon1tIkG3GHLo\nkcNo7EKRC2ElyclsXiEjRsjuG0WToFsMT4LOs0MHjAl6Zyc7+OLi7G0TET3ExrLoz4gRsrtjlATd\nYngS9Ghy6BS3EHaQkmLMCNldukiCbjE8CXo0OXSKWwg7SE0lh+5peBJ03h26kXuLUoULYQduc+iU\nKFoMT4KemBioEuHVoT/7LPDQQ+xxUhLws58pz6tBkQthB0YF3W6HToJuMTwJOu8Ofdo0NrBDrOtd\ntgy4917m3OWQoBN28MMfsvJZvbjWofv9fkyYMAFZWVl44403rGwT1/Ak6GKG3tXFJunSMwWom0hL\nA37wg8DjtWtZBKMm6JShE1aTn2/s9a7N0FevXo28vDz4fD4r28M9PAm66NAvXGDuNTbW6RaFh1Yn\nKWXohBtwZZXL8ePHsXnzZtxzzz0Q7BzHyiE8Cbro0HnMz5XQEnSKXAg34MoM/cEHH8Tjjz+OpqYm\n1dcsXbq0+++ioiIUFRWZWRR38CTookPnMT9XIpSgU+RCOE1CAnD+fOBxeXk5ysvLLft8w4L+5ptv\nYsCAASgoKNBsiFTQowmeBF3q0L0u6BS5EG4gMRE4cSLwWG52ly1bFtbnG45cdu7ciU2bNmHo0KEo\nKSnBtm3bMH/+/LAa4SV4EnSpQ6fIhSDsx3UZ+ooVK1BTU4Oqqips3LgRN9xwA55//nk72sYlPAm6\n6NC9ErloDTSiyIVwA66tchGhKpdgeBJ00aFHQ6coRS6EG3BtHToATJkyBVOmTLGqLZ5ALuiCAPj9\n7pzlT9y5zp/3hkOnyIVwO6536EQwcXHBgt7Rweq73XghExvLYogzZ7zh0AcMYN+lq6vn/yhyIdyA\n6zJ0Qhu5Q3dr3CKSmMhcrRccenw8cMklwNmzPf9HkQvhBsihc4Yo6OJ4K7cLekICE3QvOHRAPXah\nyIVwA+TQOSMmhv34/eyx2wXdSw4d0BZ0ilwIpyGHziHS2MXtgh4tDp0iF8IN0D1FOYQnQY8mh06C\nTjhNr14sjm1vt+fzSdBtgCdBT0hgN7nwukMnQSfcgp0unQTdBngS9MRE1kavO/S2NsrQCXcgvbGM\n1ZCg2wBPgi46c3LoBBEZyKFzBk+CLjpzrzt0EnTCLZBD5wyeBD2aHDpFLoQbIIfOGTwJutcc+oAB\nrJNXfiMtKlsk3AI5dM7gSdC95tD79GE3u66vD36eIhfCLZBD5wyeBF105l4RdEA5dqHIhXAL5NA5\ngydBT0hggx3c3EajKAk6RS6EWyCHzhk8CXpionfycxE1h06CTrgBcuicwZOgJyR4K24BKHIh3I2d\nDt2F99Hhn169gOXLgbVrgepqYMgQp1ukTlKS9xy60r1FKXIh3EJCArsRix2QoNtAaSnw6aeBxwUF\nzrUlFPn5wIYNTrfCWjIygN27A4/9fqCz091XSkT0QA6dM8aOZT88EBvLRN1LyCMXcR4XN94GkIg+\nKEMnCAMoCTrFLYRboCoXgjCAXNCpwoVwE+TQCcIAoqCLw/+pwoVwE5ddBmzfziJA8efYMWs+mzJ0\nwnP07csqjZqagORkilwId5GXxzrp7YAcOuFJMjKAkyfZ3xS5ENECCTrhSaQ5Ogk6ES1Q5EJ4kowM\n4C9/AY4fBw4fpgydiA7IodtMeXm5001wDZFcF3feyRz6m2+yDqeSkogtWhe0XwSgdWEdpgS9pqYG\n119/PUaNGoXRo0fjqaeesrpdnoF21gCRXBe33w6sXx/4uffeiC1aF7RfBKB1YR2mIpf4+HisWrUK\n48aNQ3NzM8aPH4/i4mLk5uZa3T6CIAhCJ6YcemZmJsaNGwcASExMRG5uLmpray1tGEEQBGEMnyDI\n775ojOrqakyZMgUHDx5E4r+m7fPRpBkEQRCmCEeSw6pyaW5uxuzZs7F69epuMQ+3QQRBEIQ5TFe5\ndHR04LbbbsNdd92FW265xco2EQRBECYwFbkIgoAFCxYgNTUVq1atsqNdBEEQhEFMCfoHH3yA6667\nDmPHju3Oy1euXImbbrrJ8gYSBEEQ+jAVuVx77bXo6urCJ598gr1792Lv3r3dYl5WVoaRI0di+PDh\nePTRRy1trNtRq88/d+4ciouLkZOTg2nTpqGhocHhlkYOv9+PgoICzJw5E0D0rouGhgbMnj0bubm5\nyMvLw+7du6N2XaxcuRKjRo3CmDFjMGfOHLS1tUXNuli0aBEyMjIwZsyY7ue0vvvKlSsxfPhwjBw5\nEu+8807Iz7d0pKjf78d9992HsrIyHDp0CBs2bMDhw4etXISrEevzDx48iF27duG3v/0tDh8+jNLS\nUhQXF6OyshJTp05FaWmp002NGKtXr0ZeXl73lVy0rov7778fM2bMwOHDh7F//36MHDkyKtdFdXU1\nnn32WVRUVODAgQPw+/3YuHFj1KyLhQsXoqysLOg5te9+6NAhvPzyyzh06BDKysqwZMkSdHV1aS9A\nsJCdO3cK06dP7368cuVKYeXKlVYugituvvlmYcuWLcKIESOEkydPCoIgCCdOnBBGjBjhcMsiQ01N\njTB16lRh27Ztwte//nVBEISoXBcNDQ3C0KFDezwfjevi7NmzQk5OjnDu3Dmho6ND+PrXvy688847\nUbUuqqqqhNGjR3c/VvvuK1asEEpLS7tfN336dOHDDz/U/GxLHfqXX36J7Ozs7sdZWVn48ssvrVwE\nN1RXV2Pv3r24+uqrUVdXh4yMDABARkYG6uS3pPcoDz74IB5//HHExAR2s2hcF1VVVUhPT8fChQvx\nla98BYsXL0ZLS0tUrouUlBQ89NBDGDx4MAYOHIhLL70UxcXFUbkuRNS+e21tLbKysrpfp0dPLRV0\nGlDEaG5uxm233YbVq1cjKSkp6H8+ny8q1tObb76JAQMGoKCgQHVcQrSsi87OTlRUVGDJkiWoqKhA\nQkJCj0ghWtbFsWPH8OSTT6K6uhq1tbVobm7Giy++GPSaaFkXSoT67qHWi6WCPmjQINTU1HQ/rqmp\nCTrDRANiff68efO66/MzMjJw8l93Wzhx4gQGDBjgZBMjws6dO7Fp0yYMHToUJSUl2LZtG+bNmxeV\n6yIrKwtZWVmYOHEiAGD27NmoqKhAZmZm1K2Ljz/+GIWFhUhNTUVcXBxuvfVWfPjhh1G5LkTUjgm5\nnh4/fhyDBg3S/CxLBX3ChAk4evQoqqur0d7ejpdffhmzZs2ychGuRhAEfOtb30JeXh4eeOCB7udn\nzZqFdevWAQDWrVsXFQOxVqxYgZqaGlRVVWHjxo244YYb8MILL0TlusjMzER2djYqKysBAFu3bsWo\nUaMwc+bMqFsXI0eOxK5du3DhwgUIgoCtW7ciLy8vKteFiNoxMWvWLGzcuBHt7e2oqqrC0aNHcdVV\nV2l/mNWB/+bNm4WcnBxh2LBhwooVK6z+eFezY8cOwefzCfn5+cK4ceOEcePGCX/729+Es2fPClOn\nThWGDx8uFBcXC/X19U43NaKUl5cLM2fOFARBiNp18cknnwgTJkwQxo4dK3zjG98QGhoaonZdPPro\no0JeXp4wevRoYf78+UJ7e3vUrIs777xTuOyyy4T4+HghKytLWLNmjeZ3X758uTBs2DBhxIgRQllZ\nWcjPD3tyLoIgCMId0B2LCIIgPAIJOkEQhEcgQScIgvAIJOgEQRAegQSdIAjCI5CgEwRBeIT/B4Th\n3AENN2mnAAAAAElFTkSuQmCC\n",
"output_type": "pyout",
"prompt_number": 31,
"text": [
"<matplotlib.figure.Figure at 0x9eb46cc>"
"2.3781768226942255"
]
}
],
"prompt_number": 9
"prompt_number": 31
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sm\u011brodatn\u00e1 odchylka teploty"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.plot(t)"
"std(th)"
],
"language": "python",
"metadata": {},
1096,25 → 2035,220
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 11,
"prompt_number": 32,
"text": [
"[<matplotlib.lines.Line2D at 0x9ee51ec>]"
"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. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data = np.load('./data_floor.npz')\n",
"tl=data['temp']\n",
"pl=data['preassure']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(pl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
"98296.0"
]
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(tl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
"22.5625"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amax(pl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": [
"98306.75"
]
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amax(tl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
"22.5625"
]
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(pl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": [
"2.2464082442868674"
]
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(tl)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
"0.0"
]
}
],
"prompt_number": 14
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Pro porovn\u00e1n\u00ed je nyn\u00ed mo\u017en\u00e9 vykreslit graf z hodnot nam\u011b\u0159en\u00fdch na stole a na zemi. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#fig, ax = plt.subplots()\n",
"\n",
"plt.plot( pl, label=\"Podlaha\")\n",
"plt.plot( ph, label=\"Stul\")\n",
"plt.legend(loc=2); # upper left corner\n",
"plt.xlabel('vzorek')\n",
"plt.ylabel('Tlak [Pa]')\n",
"plt.title('Namerene tlaky');\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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kSOuPxRinT3NxS2sLACCTCGzduhXBwcH47LPPUF5ejujoaMTExCAtLQ2JiYlY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\nrkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x9d764cc>"
"<matplotlib.figure.Figure at 0x7f04e70453d0>"
]
}
],
"prompt_number": 11
"prompt_number": 59
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#fig, ax = plt.subplots()\n",
"\n",
"plt.plot( tl, label=\"Podlaha\")\n",
"plt.plot( th, label=\"Stul\")\n",
"plt.legend(loc=2); # upper left corner\n",
"plt.xlabel('vzorek')\n",
"plt.ylabel('Teplota [deg C]')\n",
"plt.title('Namerene teploty');\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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Dhg0b+Oqrr8q8LIJIVbphrt0kUlnCwsKYPHkyWVlZbNiwgXfffZeM\njAyio6NJSEjAarWya9cu/vKXvwDFl6Bu3bq1626JLVu2BGD79u1s2LCBtLQ0AIqKijh16hQAa9eu\nxcvLS189SbWnkYTIH3h4eDBkyBCio6MZOHAgv/zyC8OGDePTTz913eTo3nvv5YcffgCKL7e8fft2\n7rnnHtfyF18zbNgw1q1bx9dff83QoUOpX78+ACtWrMDf358FCxZUwRqKXD1d4E/kMg4dOkRgYCB7\n9uxh7Nix7N27lzvvvBOn08ndd9/NwoULiYqKYt++fZw7d44JEybwxBNP4HA4WLBgAS1atCA/P5+o\nqCgOHjxITk4O48aNIzIykqZNm7Jr1y7OnDlDUFAQ3377Lc2aNavqVRa5LIWEiIiY0tdNIiJiSiEh\nIiKmFBIiImJKISEiIqYUEiIiYkohISIiphQSIiJiSiEhIiKm/j99TrGB0ZKj+wAAAABJRU5ErkJg\ngg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f04e72c54d0>"
]
}
],
"prompt_number": 60
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
/Modules/Sensors/ALTIMET01A/SW/Python/data_ground.npz
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