Rev Author Line No. Line
3522 kaklik 1 {
2 "metadata": {
3657 kaklik 3 "name": ""
3522 kaklik 4 },
5 "nbformat": 3,
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7 "worksheets": [
8 {
9 "cells": [
10 {
11 "cell_type": "markdown",
12 "metadata": {},
13 "source": [
3657 kaklik 14 "Uk\u00e1zka pou\u017eit\u00ed n\u00e1stroje IPython na manipulaci se senzorov\u00fdmi daty z modulu ALTIMET01A\n",
3522 kaklik 15 "=======\n",
16 "\n",
3657 kaklik 17 "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",
3522 kaklik 18 "\n",
3657 kaklik 19 "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",
20 "\n",
21 "* Tlakov\u00e9 rozli\u0161en\u00ed: 1,5 Pa\n",
22 "* Relativn\u00ed p\u0159esnost: 0,1 kPa\n",
23 "* Absolutn\u00ed tlakov\u00e1 p\u0159esnost 0,4 kPa\n",
24 "\n",
25 "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",
26 "\n",
3522 kaklik 27 "Zprovozn\u011bn\u00ed demo k\u00f3du\n",
28 "---------------------\n",
29 "\n",
30 "Nejd\u0159\u00edve zjist\u00edme zda m\u00e1me p\u0159\u00edstup pro z\u00e1pis a \u010dten\u00ed do syst\u00e9mov\u00e9ho za\u0159\u00edzen\u00ed. A jak\u00e9 \u010d\u00edslo m\u00e1 I\u00b2C sb\u011brnice na kterou m\u00e1me p\u0159ipojen\u00e1 \u010didla. \n"
31 ]
32 },
33 {
34 "cell_type": "code",
35 "collapsed": false,
36 "input": [
37 "!i2cdetect -l"
38 ],
39 "language": "python",
40 "metadata": {},
41 "outputs": [
42 {
43 "output_type": "stream",
44 "stream": "stdout",
45 "text": [
3598 kaklik 46 "i2c-0\ti2c \ti915 gmbus ssc \tI2C adapter\r\n",
47 "i2c-1\ti2c \ti915 gmbus vga \tI2C adapter\r\n",
48 "i2c-2\ti2c \ti915 gmbus panel \tI2C adapter\r\n",
49 "i2c-3\ti2c \ti915 gmbus dpc \tI2C adapter\r\n",
50 "i2c-4\ti2c \ti915 gmbus dpb \tI2C adapter\r\n",
51 "i2c-5\ti2c \ti915 gmbus dpd \tI2C adapter\r\n",
52 "i2c-6\ti2c \tDPDDC-C \tI2C adapter\r\n",
53 "i2c-7\ti2c \tDPDDC-D \tI2C adapter\r\n",
3657 kaklik 54 "i2c-8\ti2c \ti2c-tiny-usb at bus 001 device 008\tI2C adapter\r\n"
3522 kaklik 55 ]
56 }
57 ],
58 "prompt_number": 1
59 },
60 {
61 "cell_type": "markdown",
62 "metadata": {},
63 "source": [
64 "Proto\u017ee pro p\u0159ipojen\u00ed \u010didel k po\u010d\u00edta\u010di pou\u017e\u00edv\u00e1me adapt\u00e9r i2c-tiny-usb. Vid\u00edme, \u017ee sb\u011brnice m\u00e1 aktu\u00e1ln\u011b ozna\u010den\u00ed nap\u0159\u00edklad i2c-8. \n",
65 "\n",
66 "V p\u0159\u00edpad\u011b, \u017ee v\u00fd\u0161e uveden\u00fd p\u0159\u00edklad vr\u00e1t\u00ed chybu, nebo pojmenov\u00e1n\u00ed \"unknown\" tak nem\u00e1me p\u0159\u00edstup k syst\u00e9mov\u00fdm rozhran\u00edm. Ten z\u00edsk\u00e1me vytvo\u0159en\u00edm souboru s n\u00e1sleduj\u00edc\u00edm obsahem ve slo\u017ece: /etc/udev/rules.d/i2c-devices.rules"
67 ]
68 },
69 {
70 "cell_type": "raw",
71 "metadata": {},
72 "source": [
73 "KERNEL==\"i2c-[0-9]*\", GROUP=\"i2c\""
74 ]
75 },
76 {
77 "cell_type": "markdown",
78 "metadata": {},
79 "source": [
80 "Toto ozna\u010den\u00ed budeme je\u0161t\u011b d\u00e1le pot\u0159ebovat, proto si jej ulo\u017e\u00edme da prom\u011bnn\u00e9. "
81 ]
82 },
83 {
84 "cell_type": "code",
85 "collapsed": false,
86 "input": [
3598 kaklik 87 "port = 8"
3522 kaklik 88 ],
89 "language": "python",
90 "metadata": {},
91 "outputs": [],
92 "prompt_number": 2
93 },
94 {
95 "cell_type": "markdown",
96 "metadata": {},
97 "source": [
98 "Budeme pokra\u010dovat na\u010dten\u00edm pot\u0159ebn\u00fdch modul\u016f pro zach\u00e1zen\u00ed s I\u00b2C sn\u00edma\u010di."
99 ]
100 },
101 {
102 "cell_type": "code",
103 "collapsed": false,
104 "input": [
105 "import time\n",
106 "import datetime\n",
107 "import sys\n",
108 "\n",
109 "from pymlab import config\n",
110 "import matplotlib.pyplot as plt\n",
111 "import numpy as np"
112 ],
113 "language": "python",
114 "metadata": {},
115 "outputs": [],
116 "prompt_number": 3
117 },
118 {
119 "cell_type": "markdown",
120 "metadata": {},
121 "source": [
122 "Nyn\u00ed si nadefinujeme strukturu p\u0159ipojen\u00ed jednotliv\u00fdch \u010didel na I\u00b2C sb\u011brnici."
123 ]
124 },
125 {
126 "cell_type": "code",
127 "collapsed": false,
128 "input": [
129 "cfg = config.Config(\n",
3598 kaklik 130 " i2c = {\n",
131 " \"port\": port,\n",
132 " },\n",
3522 kaklik 133 " bus = [\n",
134 " {\n",
135 " \"type\": \"i2chub\",\n",
136 " \"address\": 0x72,\n",
137 " \n",
138 " \"children\": [\n",
139 " {\"name\": \"altimet\", \"type\": \"altimet01\" , \"channel\": 7, }, \n",
140 " ],\n",
141 " },\n",
142 " ],\n",
143 ")"
144 ],
145 "language": "python",
146 "metadata": {},
147 "outputs": [],
3657 kaklik 148 "prompt_number": 8
3522 kaklik 149 },
150 {
151 "cell_type": "markdown",
152 "metadata": {},
153 "source": [
154 "Tuto strukturu inicializujeme, aby jsme dos\u00e1hli definovan\u00e9 konfigurace \u010didel."
155 ]
156 },
157 {
158 "cell_type": "code",
159 "collapsed": false,
160 "input": [
161 "cfg.initialize()\n",
162 "gauge = cfg.get_device(\"altimet\")\n",
163 "time.sleep(0.5)"
164 ],
165 "language": "python",
166 "metadata": {},
3657 kaklik 167 "outputs": [
168 {
169 "output_type": "stream",
170 "stream": "stderr",
171 "text": [
172 "WARNING:pymlab.sensors.iic:HID device does not exist, we will try SMBus directly...\n"
173 ]
174 }
175 ],
176 "prompt_number": 9
177 },
178 {
179 "cell_type": "markdown",
180 "metadata": {},
181 "source": [
182 "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. "
183 ]
184 },
185 {
186 "cell_type": "code",
187 "collapsed": false,
188 "input": [
189 "MEASUREMENTS = 100\n",
190 "t = np.zeros(MEASUREMENTS)\n",
191 "p = np.zeros(MEASUREMENTS)\n",
192 "\n",
193 "# 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",
194 "for n in range(MEASUREMENTS):\n",
195 " (t[n], p[n]) = gauge.get_tp()\n",
196 " print(n,t[n], p[n])"
197 ],
198 "language": "python",
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853 "\n",
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989 "\n",
990 "(99, 22.625, 98290.0)"
991 ]
992 },
993 {
994 "output_type": "stream",
995 "stream": "stdout",
996 "text": [
997 "\n"
998 ]
999 }
1000 ],
1001 "prompt_number": 34
1002 },
1003 {
1004 "cell_type": "markdown",
1005 "metadata": {},
1006 "source": [
1007 "Nam\u011b\u0159en\u00e1 data si ulo\u017e\u00edme pro pozd\u011bj\u0161\u00ed zpracov\u00e1n\u00ed. "
1008 ]
1009 },
1010 {
1011 "cell_type": "code",
1012 "collapsed": false,
1013 "input": [
1014 "np.savez(\"data_desk\", temp = t, preassure = p)"
1015 ],
1016 "language": "python",
1017 "metadata": {},
3522 kaklik 1018 "outputs": [],
3657 kaklik 1019 "prompt_number": 35
3522 kaklik 1020 },
1021 {
1022 "cell_type": "markdown",
1023 "metadata": {},
1024 "source": [
3657 kaklik 1025 "Nyn\u00ed p\u0159em\u00edst\u00edme m\u011b\u0159\u00edc\u00ed p\u0159\u00edpravek ze stolu na zem, a zopakujeme m\u011b\u0159en\u00ed"
3522 kaklik 1026 ]
1027 },
1028 {
1029 "cell_type": "code",
1030 "collapsed": false,
1031 "input": [
1032 "MEASUREMENTS = 100\n",
1033 "t = np.zeros(MEASUREMENTS)\n",
1034 "p = np.zeros(MEASUREMENTS)\n",
1035 "\n",
3657 kaklik 1036 "# 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",
3522 kaklik 1037 "for n in range(MEASUREMENTS):\n",
1038 " (t[n], p[n]) = gauge.get_tp()\n",
1039 " print(n,t[n], p[n])"
1040 ],
1041 "language": "python",
1042 "metadata": {},
1043 "outputs": [
1044 {
1045 "output_type": "stream",
1046 "stream": "stdout",
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3657 kaklik 1048 "(0, 22.5625, 98296.25)\n",
1049 "(1, 22.5625, 98296.25)"
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1054 "stream": "stdout",
1055 "text": [
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1488 "\n",
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1560 "\n",
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1568 "\n",
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1584 "\n",
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1592 "\n",
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1600 "\n",
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1616 "\n",
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1640 "\n",
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1765 "output_type": "stream",
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1773 "output_type": "stream",
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1781 "output_type": "stream",
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1789 "output_type": "stream",
1790 "stream": "stdout",
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1800 "\n",
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1805 "output_type": "stream",
1806 "stream": "stdout",
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1808 "\n",
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1811 },
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1813 "output_type": "stream",
1814 "stream": "stdout",
1815 "text": [
1816 "\n",
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3522 kaklik 1818 ]
1819 },
1820 {
1821 "output_type": "stream",
1822 "stream": "stdout",
1823 "text": [
1824 "\n",
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3522 kaklik 1826 ]
1827 },
1828 {
1829 "output_type": "stream",
1830 "stream": "stdout",
1831 "text": [
1832 "\n",
3657 kaklik 1833 "(99, 22.5625, 98300.75)"
3522 kaklik 1834 ]
1835 },
1836 {
1837 "output_type": "stream",
1838 "stream": "stdout",
1839 "text": [
1840 "\n"
1841 ]
1842 }
1843 ],
3657 kaklik 1844 "prompt_number": 10
3522 kaklik 1845 },
1846 {
1847 "cell_type": "code",
1848 "collapsed": false,
1849 "input": [
3657 kaklik 1850 "np.savez(\"data_floor\", temp = t, preassure = p)"
3522 kaklik 1851 ],
1852 "language": "python",
1853 "metadata": {},
1854 "outputs": [],
3657 kaklik 1855 "prompt_number": 11
3522 kaklik 1856 },
1857 {
3657 kaklik 1858 "cell_type": "markdown",
1859 "metadata": {},
1860 "source": [
1861 "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."
1862 ]
1863 },
1864 {
3522 kaklik 1865 "cell_type": "code",
1866 "collapsed": false,
1867 "input": [
3657 kaklik 1868 "data = np.load('./data_desk.npz')\n",
1869 "th=data['temp']\n",
1870 "ph=data['preassure']"
3522 kaklik 1871 ],
1872 "language": "python",
1873 "metadata": {},
3657 kaklik 1874 "outputs": [],
1875 "prompt_number": 24
1876 },
1877 {
1878 "cell_type": "markdown",
1879 "metadata": {},
1880 "source": [
1881 "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. "
1882 ]
1883 },
1884 {
1885 "cell_type": "markdown",
1886 "metadata": {},
1887 "source": [
1888 "Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota tlaku:"
1889 ]
1890 },
1891 {
1892 "cell_type": "code",
1893 "collapsed": false,
1894 "input": [
1895 "amin(ph)"
1896 ],
1897 "language": "python",
1898 "metadata": {},
3522 kaklik 1899 "outputs": [
1900 {
3524 kaklik 1901 "metadata": {},
3522 kaklik 1902 "output_type": "pyout",
3657 kaklik 1903 "prompt_number": 27,
3522 kaklik 1904 "text": [
3657 kaklik 1905 "98346.0"
3522 kaklik 1906 ]
1907 }
1908 ],
3657 kaklik 1909 "prompt_number": 27
3522 kaklik 1910 },
1911 {
3657 kaklik 1912 "cell_type": "markdown",
1913 "metadata": {},
1914 "source": [
1915 "Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota teploty:"
1916 ]
1917 },
1918 {
3522 kaklik 1919 "cell_type": "code",
1920 "collapsed": false,
1921 "input": [
3657 kaklik 1922 "amin(th)"
3522 kaklik 1923 ],
1924 "language": "python",
1925 "metadata": {},
1926 "outputs": [
1927 {
3524 kaklik 1928 "metadata": {},
3522 kaklik 1929 "output_type": "pyout",
3657 kaklik 1930 "prompt_number": 28,
3522 kaklik 1931 "text": [
3657 kaklik 1932 "22.5625"
3522 kaklik 1933 ]
1934 }
1935 ],
3657 kaklik 1936 "prompt_number": 28
3522 kaklik 1937 },
1938 {
3657 kaklik 1939 "cell_type": "markdown",
1940 "metadata": {},
1941 "source": [
1942 "Maxim\u00e1ln\u00ed tlak"
1943 ]
1944 },
1945 {
3522 kaklik 1946 "cell_type": "code",
1947 "collapsed": false,
1948 "input": [
3657 kaklik 1949 "amax(ph)"
3522 kaklik 1950 ],
1951 "language": "python",
1952 "metadata": {},
1953 "outputs": [
1954 {
3524 kaklik 1955 "metadata": {},
3522 kaklik 1956 "output_type": "pyout",
3657 kaklik 1957 "prompt_number": 29,
3522 kaklik 1958 "text": [
3657 kaklik 1959 "98358.25"
3522 kaklik 1960 ]
1961 }
1962 ],
3657 kaklik 1963 "prompt_number": 29
3522 kaklik 1964 },
1965 {
3657 kaklik 1966 "cell_type": "markdown",
1967 "metadata": {},
1968 "source": [
1969 "Maxim\u00e1ln\u00ed hodnota teploty"
1970 ]
1971 },
1972 {
3522 kaklik 1973 "cell_type": "code",
1974 "collapsed": false,
1975 "input": [
3657 kaklik 1976 "amax(th)"
3522 kaklik 1977 ],
1978 "language": "python",
1979 "metadata": {},
1980 "outputs": [
1981 {
3524 kaklik 1982 "metadata": {},
3522 kaklik 1983 "output_type": "pyout",
3657 kaklik 1984 "prompt_number": 30,
3522 kaklik 1985 "text": [
3657 kaklik 1986 "22.625"
3522 kaklik 1987 ]
3657 kaklik 1988 }
1989 ],
1990 "prompt_number": 30
1991 },
1992 {
1993 "cell_type": "markdown",
1994 "metadata": {},
1995 "source": [
1996 "Sm\u011brodatn\u00e1 odchylka tlaku"
1997 ]
1998 },
1999 {
2000 "cell_type": "code",
2001 "collapsed": false,
2002 "input": [
2003 "std(ph)"
2004 ],
2005 "language": "python",
2006 "metadata": {},
2007 "outputs": [
3522 kaklik 2008 {
3524 kaklik 2009 "metadata": {},
3657 kaklik 2010 "output_type": "pyout",
2011 "prompt_number": 31,
3524 kaklik 2012 "text": [
3657 kaklik 2013 "2.3781768226942255"
3524 kaklik 2014 ]
3522 kaklik 2015 }
2016 ],
3657 kaklik 2017 "prompt_number": 31
3522 kaklik 2018 },
2019 {
3657 kaklik 2020 "cell_type": "markdown",
2021 "metadata": {},
2022 "source": [
2023 "Sm\u011brodatn\u00e1 odchylka teploty"
2024 ]
2025 },
2026 {
3522 kaklik 2027 "cell_type": "code",
2028 "collapsed": false,
2029 "input": [
3657 kaklik 2030 "std(th)"
3522 kaklik 2031 ],
2032 "language": "python",
2033 "metadata": {},
2034 "outputs": [
2035 {
3524 kaklik 2036 "metadata": {},
3522 kaklik 2037 "output_type": "pyout",
3657 kaklik 2038 "prompt_number": 32,
3522 kaklik 2039 "text": [
3657 kaklik 2040 "0.024518806557416305"
3522 kaklik 2041 ]
3657 kaklik 2042 }
2043 ],
2044 "prompt_number": 32
2045 },
2046 {
2047 "cell_type": "markdown",
2048 "metadata": {},
2049 "source": [
2050 "Otev\u0159eme soubor s m\u011b\u0159en\u00edm z podlahy a zpo\u010d\u00edt\u00e1me znovu statistick\u00e9 parametry. "
2051 ]
2052 },
2053 {
2054 "cell_type": "code",
2055 "collapsed": false,
2056 "input": [
2057 "data = np.load('./data_floor.npz')\n",
2058 "tl=data['temp']\n",
2059 "pl=data['preassure']"
2060 ],
2061 "language": "python",
2062 "metadata": {},
2063 "outputs": [],
2064 "prompt_number": 25
2065 },
2066 {
2067 "cell_type": "code",
2068 "collapsed": false,
2069 "input": [
2070 "amin(pl)"
2071 ],
2072 "language": "python",
2073 "metadata": {},
2074 "outputs": [
3522 kaklik 2075 {
3524 kaklik 2076 "metadata": {},
3657 kaklik 2077 "output_type": "pyout",
2078 "prompt_number": 15,
2079 "text": [
2080 "98296.0"
2081 ]
2082 }
2083 ],
2084 "prompt_number": 15
2085 },
2086 {
2087 "cell_type": "code",
2088 "collapsed": false,
2089 "input": [
2090 "amin(tl)"
2091 ],
2092 "language": "python",
2093 "metadata": {},
2094 "outputs": [
2095 {
2096 "metadata": {},
2097 "output_type": "pyout",
2098 "prompt_number": 16,
2099 "text": [
2100 "22.5625"
2101 ]
2102 }
2103 ],
2104 "prompt_number": 16
2105 },
2106 {
2107 "cell_type": "code",
2108 "collapsed": false,
2109 "input": [
2110 "amax(pl)"
2111 ],
2112 "language": "python",
2113 "metadata": {},
2114 "outputs": [
2115 {
2116 "metadata": {},
2117 "output_type": "pyout",
2118 "prompt_number": 17,
2119 "text": [
2120 "98306.75"
2121 ]
2122 }
2123 ],
2124 "prompt_number": 17
2125 },
2126 {
2127 "cell_type": "code",
2128 "collapsed": false,
2129 "input": [
2130 "amax(tl)"
2131 ],
2132 "language": "python",
2133 "metadata": {},
2134 "outputs": [
2135 {
2136 "metadata": {},
2137 "output_type": "pyout",
2138 "prompt_number": 18,
2139 "text": [
2140 "22.5625"
2141 ]
2142 }
2143 ],
2144 "prompt_number": 18
2145 },
2146 {
2147 "cell_type": "code",
2148 "collapsed": false,
2149 "input": [
2150 "std(pl)"
2151 ],
2152 "language": "python",
2153 "metadata": {},
2154 "outputs": [
2155 {
2156 "metadata": {},
2157 "output_type": "pyout",
2158 "prompt_number": 19,
2159 "text": [
2160 "2.2464082442868674"
2161 ]
2162 }
2163 ],
2164 "prompt_number": 19
2165 },
2166 {
2167 "cell_type": "code",
2168 "collapsed": false,
2169 "input": [
2170 "std(tl)"
2171 ],
2172 "language": "python",
2173 "metadata": {},
2174 "outputs": [
2175 {
2176 "metadata": {},
2177 "output_type": "pyout",
2178 "prompt_number": 14,
2179 "text": [
2180 "0.0"
2181 ]
2182 }
2183 ],
2184 "prompt_number": 14
2185 },
2186 {
2187 "cell_type": "markdown",
2188 "metadata": {},
2189 "source": [
2190 "Pro porovn\u00e1n\u00ed je nyn\u00ed mo\u017en\u00e9 vykreslit graf z hodnot nam\u011b\u0159en\u00fdch na stole a na zemi. "
2191 ]
2192 },
2193 {
2194 "cell_type": "code",
2195 "collapsed": false,
2196 "input": [
2197 "#fig, ax = plt.subplots()\n",
2198 "\n",
2199 "plt.plot( pl, label=\"Podlaha\")\n",
2200 "plt.plot( ph, label=\"Stul\")\n",
2201 "plt.legend(loc=2); # upper left corner\n",
2202 "plt.xlabel('vzorek')\n",
2203 "plt.ylabel('Tlak [Pa]')\n",
2204 "plt.title('Namerene tlaky');\n",
2205 "plt.show()"
2206 ],
2207 "language": "python",
2208 "metadata": {},
2209 "outputs": [
2210 {
2211 "metadata": {},
3522 kaklik 2212 "output_type": "display_data",
3657 kaklik 2213 "png": 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kSOuPxRinT3NxS2sLACCTCGzduhXBwcH47LPPUF5ejujoaMTExCAtLQ2JiYlY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\noy0sgq7/u7VW8zhCHDYVAW9vb6xYsQI//vgjNm7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3524 kaklik 2214 "text": [
3657 kaklik 2215 "<matplotlib.figure.Figure at 0x7f04e70453d0>"
3524 kaklik 2216 ]
3522 kaklik 2217 }
2218 ],
3657 kaklik 2219 "prompt_number": 59
3522 kaklik 2220 },
2221 {
2222 "cell_type": "code",
2223 "collapsed": false,
3657 kaklik 2224 "input": [
2225 "#fig, ax = plt.subplots()\n",
2226 "\n",
2227 "plt.plot( tl, label=\"Podlaha\")\n",
2228 "plt.plot( th, label=\"Stul\")\n",
2229 "plt.legend(loc=2); # upper left corner\n",
2230 "plt.xlabel('vzorek')\n",
2231 "plt.ylabel('Teplota [deg C]')\n",
2232 "plt.title('Namerene teploty');\n",
2233 "plt.show()"
2234 ],
2235 "language": "python",
2236 "metadata": {},
2237 "outputs": [
2238 {
2239 "metadata": {},
2240 "output_type": "display_data",
2241 "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",
2242 "text": [
2243 "<matplotlib.figure.Figure at 0x7f04e72c54d0>"
2244 ]
2245 }
2246 ],
2247 "prompt_number": 60
2248 },
2249 {
2250 "cell_type": "code",
2251 "collapsed": false,
3522 kaklik 2252 "input": [],
2253 "language": "python",
2254 "metadata": {},
2255 "outputs": []
2256 }
2257 ],
2258 "metadata": {}
2259 }
2260 ]
2261 }