Rev 3661 Rev 3663
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12 "metadata": {}, 12 "metadata": {},
13 "source": [ 13 "source": [
14 "P\u0159esn\u00e9 m\u011b\u0159en\u00ed tlaku a jeho pou\u017eit\u00ed k ur\u010den\u00ed nadmo\u0159sk\u00e9 v\u00fd\u0161ky\n", 14 "P\u0159esn\u00e9 m\u011b\u0159en\u00ed tlaku a jeho pou\u017eit\u00ed k ur\u010den\u00ed nadmo\u0159sk\u00e9 v\u00fd\u0161ky\n",
15 "=======\n", 15 "=======\n",
16 "\n", 16 "\n",
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", 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). 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",
18 "\n", 18 "\n",
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", 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", 20 "\n",
21 "* Tlakov\u00e9 rozli\u0161en\u00ed: 1,5 Pa\n", 21 "* Tlakov\u00e9 rozli\u0161en\u00ed: 1,5 Pa\n",
22 "* Relativn\u00ed p\u0159esnost: 0,1 kPa\n", 22 "* Relativn\u00ed p\u0159esnost: 0,1 kPa\n",
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47 "i2c-1\ti2c \ti915 gmbus vga \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", 48 "i2c-2\ti2c \ti915 gmbus panel \tI2C adapter\r\n",
49 "i2c-3\ti2c \ti915 gmbus dpc \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", 50 "i2c-4\ti2c \ti915 gmbus dpb \tI2C adapter\r\n",
51 "i2c-5\ti2c \ti915 gmbus dpd \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", 52 "i2c-6\ti2c \tDPDDC-B \tI2C adapter\r\n",
53 "i2c-7\ti2c \tDPDDC-D \tI2C adapter\r\n", -  
54 "i2c-8\ti2c \ti2c-tiny-usb at bus 001 device 008\tI2C adapter\r\n" 53 "i2c-7\ti2c \ti2c-tiny-usb at bus 001 device 004\tI2C adapter\r\n"
55 ] 54 ]
56 } 55 }
57 ], 56 ],
58 "prompt_number": 1 57 "prompt_number": 111
59 }, 58 },
60 { 59 {
61 "cell_type": "markdown", 60 "cell_type": "markdown",
62 "metadata": {}, 61 "metadata": {},
63 "source": [ 62 "source": [
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82 }, 81 },
83 { 82 {
84 "cell_type": "code", 83 "cell_type": "code",
85 "collapsed": false, 84 "collapsed": false,
86 "input": [ 85 "input": [
87 "port = 8" 86 "port = 7"
88 ], 87 ],
89 "language": "python", 88 "language": "python",
90 "metadata": {}, 89 "metadata": {},
91 "outputs": [], 90 "outputs": [],
92 "prompt_number": 2 91 "prompt_number": 112
93 }, 92 },
94 { 93 {
95 "cell_type": "markdown", 94 "cell_type": "markdown",
96 "metadata": {}, 95 "metadata": {},
97 "source": [ 96 "source": [
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111 "import numpy as np" 110 "import numpy as np"
112 ], 111 ],
113 "language": "python", 112 "language": "python",
114 "metadata": {}, 113 "metadata": {},
115 "outputs": [], 114 "outputs": [],
116 "prompt_number": 3 115 "prompt_number": 113
117 }, 116 },
118 { 117 {
119 "cell_type": "markdown", 118 "cell_type": "markdown",
120 "metadata": {}, 119 "metadata": {},
121 "source": [ 120 "source": [
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143 ")" 142 ")"
144 ], 143 ],
145 "language": "python", 144 "language": "python",
146 "metadata": {}, 145 "metadata": {},
147 "outputs": [], 146 "outputs": [],
148 "prompt_number": 8 147 "prompt_number": 114
149 }, 148 },
150 { 149 {
151 "cell_type": "markdown", 150 "cell_type": "markdown",
152 "metadata": {}, 151 "metadata": {},
153 "source": [ 152 "source": [
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171 "text": [ 170 "text": [
172 "WARNING:pymlab.sensors.iic:HID device does not exist, we will try SMBus directly...\n" 171 "WARNING:pymlab.sensors.iic:HID device does not exist, we will try SMBus directly...\n"
173 ] 172 ]
174 } 173 }
175 ], 174 ],
176 "prompt_number": 9 175 "prompt_number": 115
177 }, 176 },
178 { 177 {
179 "cell_type": "markdown", 178 "cell_type": "markdown",
180 "metadata": {}, 179 "metadata": {},
181 "source": [ 180 "source": [
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184 }, 183 },
185 { 184 {
186 "cell_type": "code", 185 "cell_type": "code",
187 "collapsed": false, 186 "collapsed": false,
188 "input": [ 187 "input": [
-   188 "import sys\n",
-   189 "import time\n",
-   190 "from IPython.display import clear_output\n",
-   191 "\n",
-   192 "\n",
189 "MEASUREMENTS = 100\n", 193 "MEASUREMENTS = 100\n",
190 "t = np.zeros(MEASUREMENTS)\n", 194 "t = np.zeros(MEASUREMENTS)\n",
191 "p = np.zeros(MEASUREMENTS)\n", 195 "p = np.zeros(MEASUREMENTS)\n",
192 "\n", 196 "\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", 197 "# 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", 198 "for n in range(MEASUREMENTS):\n",
195 " (t[n], p[n]) = gauge.get_tp()\n", 199 " (t[n], p[n]) = gauge.get_tp()\n",
-   200 " clear_output()\n",
196 " print(n,t[n], p[n])" 201 " print(n,t[n], p[n])\n",
-   202 " sys.stdout.flush()"
197 ], 203 ],
198 "language": "python", 204 "language": "python",
199 "metadata": {}, 205 "metadata": {},
200 "outputs": [ 206 "outputs": [
201 { 207 {
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203 "stream": "stdout", 209 "stream": "stdout",
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999 } 213 }
1000 ], 214 ],
1001 "prompt_number": 34 215 "prompt_number": 117
1002 }, 216 },
1003 { 217 {
1004 "cell_type": "markdown", 218 "cell_type": "markdown",
1005 "metadata": {}, 219 "metadata": {},
1006 "source": [ 220 "source": [
Line 1027... Line 241...
1027 }, 241 },
1028 { 242 {
1029 "cell_type": "code", 243 "cell_type": "code",
1030 "collapsed": false, 244 "collapsed": false,
1031 "input": [ 245 "input": [
-   246 "import sys\n",
-   247 "import time\n",
-   248 "from IPython.display import clear_output\n",
-   249 "\n",
1032 "MEASUREMENTS = 100\n", 250 "MEASUREMENTS = 100\n",
1033 "t = np.zeros(MEASUREMENTS)\n", 251 "t = np.zeros(MEASUREMENTS)\n",
1034 "p = np.zeros(MEASUREMENTS)\n", 252 "p = np.zeros(MEASUREMENTS)\n",
1035 "\n", 253 "\n",
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", 254 "# 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",
1037 "for n in range(MEASUREMENTS):\n", 255 "for n in range(MEASUREMENTS):\n",
1038 " (t[n], p[n]) = gauge.get_tp()\n", 256 " (t[n], p[n]) = gauge.get_tp()\n",
-   257 " clear_output()\n",
1039 " print(n,t[n], p[n])" 258 " print(n,t[n], p[n])\n",
-   259 " sys.stdout.flush()"
1040 ], 260 ],
1041 "language": "python", 261 "language": "python",
1042 "metadata": {}, 262 "metadata": {},
1043 "outputs": [ 263 "outputs": [
1044 { 264 {
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1046 "stream": "stdout", 266 "stream": "stdout",
1047 "text": [ 267 "text": [
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Line 1883... Line 311...
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1884 { 312 {
1885 "cell_type": "markdown", 313 "cell_type": "markdown",
1886 "metadata": {}, 314 "metadata": {},
1887 "source": [ 315 "source": [
1888 "Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota tlaku:" 316 "Minim\u00e1ln\u00ed, maxim\u00e1ln\u00ed hodnota tlaku a sm\u011brodatn\u00e1 odchylka pro m\u011b\u0159en\u00ed tlaku na stole:"
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1915 "Minim\u00e1ln\u00ed nam\u011b\u0159en\u00e1 hodnota teploty:" -  
1916 ] 317 ]
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1918 { 319 {
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1927 { 328 {
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1938 { 343 {
1939 "cell_type": "markdown", 344 "cell_type": "markdown",
1940 "metadata": {}, 345 "metadata": {},
1941 "source": [ 346 "source": [
1942 "Maxim\u00e1ln\u00ed tlak" 347 "Minim\u00e1ln\u00ed, maxim\u00e1ln\u00ed hodnota tlaku a sm\u011brodatn\u00e1 odchylka pro m\u011b\u0159en\u00ed teploty na stole:"
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1949 "amax(ph)" 354 "[min(th),max(th),std(th)]"
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1951 "language": "python", 356 "language": "python",
1952 "metadata": {}, 357 "metadata": {},
1953 "outputs": [ 358 "outputs": [
1954 { 359 {
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1964 }, 373 },
1965 { 374 {
1966 "cell_type": "markdown", 375 "cell_type": "markdown",
1967 "metadata": {}, 376 "metadata": {},
1968 "source": [ 377 "source": [
1969 "Maxim\u00e1ln\u00ed hodnota teploty" 378 "Otev\u0159eme soubor s m\u011b\u0159en\u00edm z podlahy a zpo\u010d\u00edt\u00e1me znovu statistick\u00e9 parametry. "
1970 ] 379 ]
1971 }, 380 },
1972 { 381 {
1973 "cell_type": "code", 382 "cell_type": "code",
1974 "collapsed": false, 383 "collapsed": false,
1975 "input": [ 384 "input": [
-   385 "data = np.load('./data_floor.npz')\n",
1976 "amax(th)" 386 "tl=data['temp']\n",
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1977 ], 388 ],
1978 "language": "python", 389 "language": "python",
1979 "metadata": {}, 390 "metadata": {},
1980 "outputs": [ 391 "outputs": [],
1981 { -  
1982 "metadata": {}, -  
1983 "output_type": "pyout", -  
1984 "prompt_number": 30, -  
1985 "text": [ -  
1986 "22.625" -  
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1991 }, 393 },
1992 { 394 {
1993 "cell_type": "markdown", 395 "cell_type": "markdown",
1994 "metadata": {}, 396 "metadata": {},
1995 "source": [ 397 "source": [
1996 "Sm\u011brodatn\u00e1 odchylka tlaku" 398 "M\u011b\u0159en\u00ed tlaku"
1997 ] 399 ]
1998 }, 400 },
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2005 "language": "python", 407 "language": "python",
2006 "metadata": {}, 408 "metadata": {},
2007 "outputs": [ 409 "outputs": [
2008 { 410 {
-   411 "latex": [
-   412 "$$\\begin{bmatrix}98296.0, & 98306.75, & 2.24640824429\\end{bmatrix}$$"
-   413 ],
2009 "metadata": {}, 414 "metadata": {},
2010 "output_type": "pyout", 415 "output_type": "pyout",
2011 "prompt_number": 31, 416 "png": "iVBORw0KGgoAAAANSUhEUgAAAVQAAAAZBAMAAACcDcuAAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n",
-   417 "prompt_number": 99,
2012 "text": [ 418 "text": [
2013 "2.3781768226942255" 419 "[98296.0, 98306.75, 2.24640824429]"
2014 ] 420 ]
2015 } 421 }
2016 ], 422 ],
2017 "prompt_number": 31 423 "prompt_number": 99
2018 }, 424 },
2019 { 425 {
2020 "cell_type": "markdown", 426 "cell_type": "markdown",
2021 "metadata": {}, 427 "metadata": {},
2022 "source": [ 428 "source": [
2023 "Sm\u011brodatn\u00e1 odchylka teploty" 429 "M\u011b\u0159en\u00ed teploty"
2024 ] 430 ]
2025 }, 431 },
2026 { 432 {
2027 "cell_type": "code", 433 "cell_type": "code",
2028 "collapsed": false, 434 "collapsed": false,
2029 "input": [ 435 "input": [
2030 "std(th)" -  
2031 ], -  
2032 "language": "python", -  
2033 "metadata": {}, -  
2034 "outputs": [ -  
2035 { -  
2036 "metadata": {}, -  
2037 "output_type": "pyout", -  
2038 "prompt_number": 32, -  
2039 "text": [ -  
2040 "0.024518806557416305" -  
2041 ] -  
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']" 436 "[min(tl),max(tl),std(tl)]"
2060 ], -  
2061 "language": "python", -  
2062 "metadata": {}, -  
2063 "outputs": [], -  
2064 "prompt_number": 1 -  
2065 }, -  
2066 { -  
2067 "cell_type": "code", -  
2068 "collapsed": false, -  
2069 "input": [ -  
2070 "amin(pl)" -  
2071 ], -  
2072 "language": "python", -  
2073 "metadata": {}, -  
2074 "outputs": [ -  
2075 { -  
2076 "metadata": {}, -  
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 ], 437 ],
2172 "language": "python", 438 "language": "python",
2173 "metadata": {}, 439 "metadata": {},
2174 "outputs": [ 440 "outputs": [
2175 { 441 {
-   442 "latex": [
-   443 "$$\\begin{bmatrix}22.5625, & 22.5625, & 0.0\\end{bmatrix}$$"
-   444 ],
2176 "metadata": {}, 445 "metadata": {},
2177 "output_type": "pyout", 446 "output_type": "pyout",
2178 "prompt_number": 14, 447 "png": "iVBORw0KGgoAAAANSUhEUgAAAOIAAAAZBAMAAADea+8+AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n/1en9wEoqgXKBBSl9QAAAABJRU5ErkJggg==\n",
-   448 "prompt_number": 101,
2179 "text": [ 449 "text": [
2180 "0.0" 450 "[22.5625, 22.5625, 0.0]"
2181 ] 451 ]
2182 } 452 }
2183 ], 453 ],
2184 "prompt_number": 14 454 "prompt_number": 101
2185 }, 455 },
2186 { 456 {
2187 "cell_type": "markdown", 457 "cell_type": "markdown",
2188 "metadata": {}, 458 "metadata": {},
2189 "source": [ 459 "source": [
Line 2210... Line 480...
2210 { 480 {
2211 "metadata": {}, 481 "metadata": {},
2212 "output_type": "display_data", 482 "output_type": "display_data",
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kSOuPxRinT3NxS2sLACCTCGzduhXBwcH47LPPUF5ejujoaMTExCAtLQ2JiYlY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\noy0sgq7/u7VW8zhCHDYVAW9vb6xYsQI//vgjNm7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483 "png": 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kSOuPxRinT3NxS2sLACCTCGzduhXBwcH47LPPUF5ejujoaMTExCAtLQ2JiYlY\nunQptm/fjtTUVLPHMrdgS2ws8MknLbOQ9HTgrbes9EVEEhbGnf+zzwxnBzdvWhYU5uHbSUvl11+B\nmTO5lhkAN4s15rKypQh8913LjeztDaSmyjujeucdYNs2zhIwli4pBldXbgGgrCxg8mTp+9fUAMeO\ncdaAjw9nWcyfb/l4xGAqMGwqRdQSd5BYS0BKTyKe0FBugZexY7kx878lT09uadbWNj40JwLh4dzC\nSDyPPMLNym0pApmZ0oVZLLLEBGbNmoWXX34ZAKBWq+Hm5oYTJ04g8e8p4KRJk7B//35RxzJlCQDA\n3LlAczN3k+zZAzzwgGn/nhy4u3OzhB9/bBkH/y8rC3j2WcuPbaklkJkJxMe3vDb2I5WzjbQ+Eydy\n7g/+2sybx1Vby8VXXwFr13J/l9YIAE9CgmGhoVgyMzmr1ceHe92jh/SFWKRiyhIIDOQmWEK+dksf\n1GItAanHBjjX786dnHjy989773Hurq+/tjxmUFfHWWWdO4vfJz6e+3vaksOHdX/P1kQWS8D77yqT\nyspKzJo1C6+++iqeeuopzec+Pj5QqVSijmXO/B4xwrD4yx6sXSvPcS0VgcOHgRUrWl6Hhgo/cOVs\nI61Pr17Ap5+2vI6L42o0LBXtykrg7beFs3bq6oCPPwb2729d5pc28fHA+vWW7aufsRYQwD24jGW+\nWQNTxWKenpw7tbq6RZgA6dXCPKGhwI4d5reTmnmkzbBhnLWtzYEDwFNPAW++CUyYIO44Cxdy8RiA\ns45DQ6UtZpOQADzzDHetTFmx27dzFijP9OncRMASMjOBF16wbF9zyBYYzsvLw4wZM/DII49gzpw5\neForlF1ZWYkAE3f+qlWrNP+fm5uEHj2S5BqmwxMcLD2IfeMGl9scFdXyXkgI547Qp7hY2izImnTv\nzs2GLTVzs7I4V+DcuYafeXgAu3ZxLihrERfHXUOpq2gBnJsyLa3ltULBff+rV+UVAVOuVD44rC0C\nfLWw1GVFpbiD9Cv5W0NKClfM9fXXXNzLHGfPAqtWcSnigGU9w3r25O6BvDzj9UX19Zy7b9kyTmxz\ncznh2LNH2rkATpRVqpYkBQDIyMhARkaG9IMJIIsIXLt2DePHj8cHH3yA5ORkAEBMTAwOHjyIsWPH\nYvfu3Rg3bpzR/bVFYNky2yyv6KhYYgkcPsz5K7VnN8Y6PVraOM8atNYlcvky5yfWul1kpWNHLrh8\n9qy0lOKyhCraAAAgAElEQVSKCm4ffXOe//7WFCqe2lruQWWq9QMfHNZ+kFk6U5crMCwGFxfg7rvF\nbXvtGidCNTWc0JmLBwihUHATl8xM4yJw8CCXlPHKK9zrigrO4q2sBHx9pZ2PdwVp/56TkpKQlJSk\nef3SSy9JO6gWssQE0tLSoFKp8PLLLyM5ORnJycl49dVXsXLlSiQkJKCpqQkzZ84UdSxzs5n2jqUi\noD+7NvYjteRHYC169OBmwpZy+bL0VMbWwv/4pfDzz5zb0sND93054wL878aUu0IoOGypz15s1bAl\n8QZr0qULZ9Ft3869tvT+j483HR/asQOYOrXltZ8fd959+6SfS86gMCCTCLz99tsoLCxEenq65t/g\nwYORkZGBzMxMfPTRR6LSQ4HWpeS1BywRAaGbhjfX9QNo9hQB3h1kKfYSAanBYb52RZ/Wfn9TiJk8\nCaWJWvqQ5quGza0lbanIWBPtJpKW3v+mJgOMGYoAwL0WEzfRR86gMNAGKobNpYi2d6SKQGMjV5eg\nn77m68uZk/ql5uaqJeXEGu4gW4uAJZkhxtqYtNYSMoWpoDCPUNVwawK35uICtbVcINrek7rUVC6F\n+vp1y+//2Fiu64DQEp1nz3L/5Wt0eKZM4eJUzc3iz1Nfz2VEjRghfYxicXgRMJci2t7x8+MqXevq\nxG1/6hSXhePnZ/iZ0I/U3u6gK1csT++7fLkly8NW9OvHTUzE9skpLQUuXeJqDPSxhTvIFEJVw62Z\nqZtbYcxctbCt8PbmZuVffWX5/e/pyRUQCnUY5a0A/e/ZsyfnNjt6VPx5TpzgAsLawXtr4/Ai4Ozu\nIIVCWv8g/foAbYR+pPYMDPv7c99PaE0Ic1RVcf/kbLsghIuLeX+wNgcPAqNHc60G9LG3CFjbEjAX\nHJYjKGwpvEuoNfe/MZfQzp2GriCeqVO5z8UiFN+zNg4tAs3NXFRdrhS6toIUl5CpIJLQj9SeloBC\nYfmDMDeX29ces0opLiFTHW27duUmOWKtPCmYqhbmsbYlYM4dZO+gsDbjxnH3XU2N5YWEQvfB9euc\nm0ioPQsgPS5galJnLRy6gdzNm5xbQ6jpmTMhRQQOH25JS9NH/0daU8PNpoODWz9GS+FFQGoXV3vE\nA3gSErgqcDGdJfftA774QvgzpZJLOc3P57pDWpPSUvPibs3AMMDtZ+qaOEJQmMfVlevltGOH5ROJ\nhASuhYR20dgPPwC33mq8+HLkSO46GFvNsLpat94hM1O+QlQehxYBZ08P5RHrDioo4B7sxh4o+lXD\n+fncQ8iePlpLg6P2FIGRI7l0z8WLzW/bo4dpgeNFUA4RMCes+imillYL84ixBBzFHQRwfz/9tF0p\nhIVx+1+8yDUDBISzgrRRKrneUzt26LYmb27m+ny9+CI3KeOLEYcOlf8+d2gRcPZ4AE9wMPDTT8J+\nZW1++40zHY091PWrhu3pCuKxNE3SniLg48Pl/lsDudJELUkRtbRamEdMTMCa1cKtpX9/4PXXW3eM\nhATggw+4GgDGuDYl//qX6X2mTgXWrWuxwKurubYXgYFc/YJQEoGcOLQIkCXAMXUq8NFHwLffmt92\nyRLjn+n/SO0ZFObp0cOyNVwvX+YCrm0duYLDlgSGWztTN5cd5GiWgDV44AHd3+bTT5tvwzJpEtfU\nkN/HxYVz4U6bZh+r3KFFgCwBjttu4/61Fn1z3REsAUsfgva0BKxJjx66bYrN8fnn4q7XpUviLQHe\np93awK121bBQbyVHCgxbC0t+m97ewL//Lc94LMGhs4NIBKwLP1Pj8/LtWSjGwzdRkwJj7UcEpLiD\n8vOBf/yDi/uY+7dsmfnr4+7O/eMLCFsbuDVXNexIgWGiBYe2BMgdZF20q4b9/DgRmDLFvmMKCeHW\nM6irEx+kKy/nZq7tIXVYiiW0cycXVHztNeudPyiIc2l4ewO//86totUaQkOBhx82XJ+CMceoFiYM\ncWgRKCvjFpMgrAfvEuJFwN7uIBcXzhq5elW3Va4peCvA3pWn1qB7d26Gr1ab72m/Ywe3EI812bKl\nZd3jxEThHkdSeO894y2dZ89uH3+z9oZDiwBZAtaHDw736+cYgWGgxSUkVQTaAx4e3Ky5uNi0q6S6\nmstI2rrVuudv7UNfn/h4+YubCOtCMQEng7cEqqq45lSOcH2lBofbkwgA4uICP/3ErazVHlxghGPh\n0CLg7M3j5IAPDvNBYUcwz51dBMR8f3NFSARhKUbdQSFmEnoVCgUKxawn1wqcvY20HPBVw44QD+Dp\n0QM4dEj89pcvcwHS9oK5qmm1mgsKP/OM7cZEOA9GRaBv374m17BMam0agQjIHWR9+KphRxIBqVWz\n7c0S6N7d9DrS2dlcx1Vrt5YgCMCEO2jXrl2C7xf9XXJq7HNr0dTE+a39/WU9jdPBB4YdJSgMSHMH\nqdXctrZeR0BOzH1/U62JCaK1GBUB779XqH7hhRcQHBwMPz8/uLq6Yvr06Tqfy0V5ORcEM5c2R0iD\nDww7kiUQHs65qMSsuFRczNU7yHz72RRzIkDxAEJOzKaIfv/998jLy8OTTz6JJ598EqtXr7bFuCg9\nVCa0A8MzZth7NBzaaZLdupnetr25ggDOHZSbK9wbqrqaEwi5FxYhnBezIhASEgIPDw9UVFQgMjIS\nV+RaCkkPigfIg68vlxH0+++OYwkALbNhZxSBwECutz2/+Lk+r70m3IuHIKyB2VsrLCwM//nPf+Dj\n44Nnn30WN6Sset4KKD1UPkJDgT//dDwR2LjRfDO1gweBwYNtMyZboVAAmzbZexSEs2JWBDZt2oS8\nvDzMmjULW7ZswRfGlkmyMpQeKh98cNiRgu5LlwK7d3NdKE0xYABwzz22GRNBOAMKxviekroUFRXh\njTfegK+vL1asWCF7IFgzIIUCDz7I8Pvv3OIKb71lk9M6FXPmACdPAufP23skBEFYA4VCASOPcrMY\nzb1ZsGAB+vTpAzc3Nzz99NMWD84Shg0DFizg1u8krE9oqGO5ggiCsB9G3UFNTU146KGHAADjxo2z\n2YAAcWu3EpYTFgZUVNh7FARBOAKicg7UarXc4yBsyIMPcv37CYIgjIpAdXU1cnJywBhDTU2N5v8V\nCgVuEdvzl3BIfHy4fwRBEEYDw0lJSVD83WKSf/jzpKenyzegVgQ4CIIgnJHWPDeNikB6ejqSTaw4\nkZGRYbaJ3JEjR/Dss88iPT0dv/32G6ZOnYo+ffoAAJYuXYrZs2cbDohEgCAIQhKyiEB0dDTWrVsn\nuBNjDE8//TROnTpl9MBr167F559/Dh8fH2RmZuKjjz5CRUUFnnzySdMDIhEgCIKQRGuem0ZjAjEx\nMfjyyy+N7jh06FCTB46MjMS3336LeX8vipqdnY2cnBxs374dffr0wVtvvQUfckwTBEHYFaOWgDXI\nzc3FnDlzcPjwYWzZsgXR0dGIiYlBWloaysvLBS0NsgQIgiCkIYslYG2mT58O/7/7FKSmpmLZsmVG\nt121apXm/5OSkmyygA1BEERbISMjw+SiX1KwmSUQHx+Pd955B8OHD8e7776LgoICwbbUZAkQBEFI\nQ5a2ETza6aA1NTVYsmSJpBPwqaUbN27EE088geTkZBw+fBjPP/+8xKESBEEQ1sasJTB69Gi8+eab\naG5uxgMPPIB7770Xzz77rHwDIkuAIAhCErKkiPLcuHED06ZNQ0NDAz799FNERUVZdCLRAyIRIAiC\nkIQsIvDcc89p/r+4uBg//vgjFixYAIVCgbS0NMtGKmZAJAIEQRCSkCU7qG/fvhp/fr9+/ShDhyAI\noh1i1h3U2NiIY8eOobGxEYwxFBYW4h4Zl3YiS4AgCEIastYJTJ8+HU1NTcjPz4darcbQoUNlFQGC\nIAjCdphNES0pKcGePXsQFxeH48ePo6amxhbjIgiCIGyAWRHw9vYGYwxVVVXw8vJCibmVwAmCIIg2\ng9mYwHvvvYeysjK4ublh+/bt8Pb2xk8//STfgCgmQBAEIQlZ6wSAlkVlzpw5g8jISHh6elp0MlED\nIhEgCIKQhCyB4Tlz5hg92RdffGHRyQiCIAjHwqgIPPTQQwBgoC7ay0wSBEEQbRuj7qDZs2fj66+/\ntvV4yB1EEAQhEVm6iN64ccPiAREEQRBtA6OWQI8ePTB37lxBdxD1DiIIgnAcZAkMe3l5oW/fvhYP\niiAIgnB8jIpA165dsWDBAluOhSAIgrAxRmMCsbGxthwHQRAEYQdkXWPYEigmQBAEIQ1Z1xgmCIIg\n2i8kAgRBEE4MiQBBEIQTQyJAEAThxJAIEARBODEkAgRBEE4MiQBBEIQTQyJAEAThxJAIEARBODFG\newc5Mmt+WYMjBUc0r+cOmos7o+6044jaP83qZiz6fhEq6isAcBWKr6W8hn6d+sl+7hV7V+BS+SXN\n68fjHkdij0TZz+sIXCq7hGf2PwM1UwMAvDt44+M7Poab0s3OIyP0UdWpsGTnEjQ0NwAAlC5KvDvp\nXXT16WrnkZmmTVoCb2a9iam3TMW9g+9FuF84vs/53t5DavcUVxVjZ85O3Dv4Xtw7+F5U1Ffg16u/\nyn5exhjePfou7hpwF+4dfC883Tyx99Je2c/rKPya9ytKa0s1133PxT0oriq297AIAc5eP4tT105p\n/lYlNSXYd2mfvYdlljZnCVyruoaG5gYsHLIQCoUCbi5u+DD7Q3sPq91TUFmAiIAIzOg/AwBwougE\nCisLZT9veV05PFw9cNfAuwAApTWlOlZgeydPlYeR3UZqrvuqjFUoqy1DuH+4rOctrirG7V/cjsbm\nRgDcrPbeQffi0RGPwt3VXdZza/PKwVfwzblvBD/zdPPEYyMfw90D74aLQvp8Nqc0B3f97y40q5sB\nAO6u7tgzdw+CvIIsGmteRR4Gdh6o+VtdVV1FZl4m5kXPE32MXTm78NxPz2led/LqhC/u/EJWa0JW\nEThy5AieffZZpKen4+LFi1i4cCFcXFwwcOBAvP/++xatV3zm+hkM7jJYs2+QVxBKa0utPXRCj4KK\nAnTz66Z5HeITgrPXz8p+3sLKQoT4hmhed/XpiqKqItnP6yjkVeRhUOdBmtcdPTva5H7/5eovCPQI\nxIYJGwAAFfUVWPvrWrx/7H2svnU1ZkXNssl64xlXMvCPEf/AyLCRBp8VVBRgZcZKvJn1JtaPXy/Z\nRXiq+BQ6eXXC+vHrAQD/2P0P/HL1F0zrN82iseap8hDu1yLOCeEJ2HJyi6Rj/Pf3/2JW1CzNGL46\n+xUmb52MgwsPwtfd16JxmUM2EVi7di0+//xz+Pj4AACefPJJpKWlITExEUuXLsX27duRmpoq+bin\nr53G4C6DNa+DPINQWkMiIDcFlQXo5tsiAqG+odj3l/ymblFlEUJ9QzWvu/p0dSp3SH5FPib3max5\nHeQVhLLaMtnPm12YjcQeiTq/tdHdR+PA5QN4au9TmL9tvmb23T+4P7IXZ5s8XmV9JXq90wvVDdUA\nABeFC/bN24f48HiT+5XUlCA2NFZnHDyDuwzGhMgJ+OrsV5i/bT6uV1/XfHZn1J34bPpnJo9dUFmA\nfkH9NMdOiUhBZl6mxSKQX5GPiIAIzeshXYfgYtlFVNRXwM/dz+z+jDEcuHwAK8euRGTHSADAoM6D\nUFpbihlfz8Cue3ahg7KDRWMzhWwxgcjISHz77bea9qYnTpxAYiKn1JMmTcL+/fstOq6BCJAlIBk1\nU6OwslDzT1WnMrtPQYWuCIT4htjEHVRYWYgQnxZLIMQ3xKlEIK8iD2F+YZrXHT062mTSk12UjdgQ\nwzVFUnqmIHtxNsqeKUPJ0yUoWl6EM9fOaFwqxriiuoIgzyCUPF2CkqdLcPstt+sE+41RWlOKTl6d\njH7uonDBnEFzcGnZJc2xDy48iBNFJ8weW9+6TQhPwOH8w2b3M0ZeRZ6Om66DsgNiQmJwtOCoqP1z\nSnOgVCjRO7C35j2FQoH3J78Pnw4+WPjdQhRUFGh+t+W15RaPVRvZLIEZM2YgNzdX81q717WPjw9U\nKuMPnlWrVmn+PykpCUlJSZrXp6+dxsPDH9a8DvQIhKpOhWZ1M5QuSquMvb2z8fhGPL3vafi5+4GB\noaG5ASUrSkya9wWVBUjpmaJ5HeobahO3TFGVriXQ2bszblTfgJqpLfIDtzX0XQy2sAQYYzheeByx\nocILSykUCni5eXEv3DgX1bXqazp/J30KKgoQ7h+u2a+rd1eU1JSYHUtpbSmCPM376JUuSni5cMeO\n7BiJPFWe2X0KKgt0JpQjw0biRNEJNDQ3WDTj1hdsAEgIS8DhvMO4tdetZvdPz01HSs8Ug9+h0kWJ\nL2Z8gVnfzMLwfw8HANRfrEfvit46VqKl2Cww7OLS8oOtrKxEQECA0W21RUCbJnUT/ij5AwOCB2je\nU7oo4e/hj/K6cpMzBqKFS2WX8OLYF/H0qKcBAAGrA1BWW2YyIFZQWaBzg3f16YprVddkfxgXVhai\nV2AvzesOyg7wc/dDSU0JOnt3lu28jkB1QzVqm2p17uuOnh113B5ykHszF55unqKDkd38uiG/It+k\nCORX5OtYkp28OpkVgZrGGjDGWgRHJAEeAVAzNVR1Kvh7+BvdrqBS1xLwc/dDr8BeOFV8CsO7DZd0\nTsBQsAEgPjxedOLKgcsHMOWWKYKfebp5Yuc9O43u+9JLL4kfqB42m0rFxMTg4MGDAIDdu3drXENS\nyCnNQZhfGLw7eOu8T3EBaeRV6N6sPQN74vLNyyb30f8Rd1B2gL+HP25U35BtnABnCWi7gwDniQvw\nM0vtmWGQp/yWgDFXkDG6+XZDQUWByW30Y0piRKC0phRBXkGSA9AKhQLh/uHIqzBtDei7OAHOJZSZ\nlynpfABQ31SPstoyA+GMD4tHVn6Wps7DGGqmRnpuOpIjkiWfu7XILgL8H3D9+vVYuXIlEhIS0NTU\nhJkzZ0o+1qniU4IBIooLSEPfd9kzoCculxsXAcaYgf8UsI1LqLCy0GCG6SxxgfyKfIOZZUfPjvKL\nQKEFIlBpRgT07h9RIiDSFSREuF848ivyjX7OGDOwBIC/RSBfugjwWWz6LukuPl0Q5BmEP0r+MLn/\n2etnEeARIHvqrxCyikBERAQyM7kL2qdPH2RkZCAzMxMfffSRRell+kFhHrIEpKFvtvYMMG0JVNRX\nQKFQGGQ4hPjIHxzWTxEFnMgSUBn6mG0x4ckuysaw0GGit+/mJ48lUFJTYrGLN8wvzGRcoLyuHB2U\nHeDTwUfn/fiweBzOkx4c1reudY4ZHm/Wujhw+QBSIlJMbiMXbSqydvq6sAiIuaEIjiZ1E65XX9eZ\nXfcMNG0J6P+AeUJ9Q2UVAcYYiioF3EHeXVFU2f5rBYQeLHJbAuaCwkKIsgQqLbAE/nYHWUK4n2l3\nUEFFgYHAAlxQubap1qQVIUSeKs/oLJ4PDpviwOUDOokXtqRticC104juEm3wfpAnuYPEUlRZhE5e\nnXR6z0QERJi0BIRcQcDf7iAZH8Z8tbB+DMiZLAH9B0tHT3lTRKUGhYG/LQEx7iCpMYHWuIPMxAT0\nY1w8CoXCImsgryIPYb6GogKYdzE1qZtw6MohJEUkSTqntWgzIlBWWwZVnQo9AnoYfBbkRe4gsejH\nAwDz7iBjloDc7qCiyiIDVxDwd0yg2glEwIQloJ1ybU2kBoUB84Hh+qZ63Ky7qZPNxbu1TH2P0hr5\nYgJC8QAeS4LDpiyBgZ0HoqCiwKgFd6LoBML8wtDFp4ukc1qLNiMCZ66dwaAugwTTEckSEI9QGltE\nQASuqq4azWAQyqIA5A8MCwWFAeexBPIr8g0eLB6uHnBTuqGqoUqWc0oNCgOc/92UJVBUVYSuPl11\ngqYdlB3g5eYFVb3xeqHSWsvdQeZiAsbuacCyorH8SsMgPo/SRYkR3UYgKz9L8PP0y+l2cwUBbaiB\n3OlrpzG4s2E8AKDsICkIZZx4d/CGn7sfiquKBR+6BZUFiAqOMnhf7qph/Wphnq4+rYsJLN25FEcL\nW6o4Hx3+KO6Luc/i48mFUPER0JImKkcvmeNFx/HYyMck7ePn7gfGmNH2CMbcibxLKMBDuGaopKYE\nQ0OGShoLD+8OYowJJqEUVBYgpmuM4L7DQofhzPUzqG2shaebp6jzmbIEAGBU+Cgs2blEsLYl92Yu\nPr7jY1HnkYM2JQLGboggzyAKDIskryIP3f27G7zPp4kaE4HxvccbvC93YFi/WpinNZYAYwxbz2zF\nznt2wtvNG79c/QXfnPvG4USgor4CTeomBHoEGnzGN5ETco22BsaYRZaAQqHQFIwJTRaM+d95EeD7\n5OjTmpiAn7sfXF1cUV5Xjo6eHQ0+L6gsMFqY5eXmhajgKGQXZWN099GizmcqOwgAnhn9DO7oe4fg\nZy4KF8GEF1vRdkTg+mksHLJQ8LNOXp2cIiZQXluOVw+9ipyyHOyYs8OiY+RV5CEhPMHgfb5gbFT3\nUQafGfsRd/XpiuvV12WrGtavFuYJ9Ah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2214 "text": [ 484 "text": [
2215 "<matplotlib.figure.Figure at 0x7fd03e30b090>" 485 "<matplotlib.figure.Figure at 0x7fdc6f159590>"
2216 ] 486 ]
2217 } 487 }
2218 ], 488 ],
2219 "prompt_number": 4 489 "prompt_number": 104
2220 }, 490 },
2221 { 491 {
2222 "cell_type": "code", 492 "cell_type": "code",
2223 "collapsed": false, 493 "collapsed": false,
2224 "input": [ 494 "input": [
Line 2238... Line 508...
2238 { 508 {
2239 "metadata": {}, 509 "metadata": {},
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2241 "png": 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511 "png": 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fP0737t257bbbeP/999m/fz9JSUmmt4gVEbkhQ8Iytfx7/Kr8er527dol5iQuWrRoUYl5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\niFSNMkOisLCQoqI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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": [ 512 "text": [
2243 "<matplotlib.figure.Figure at 0x7fd03e275390>" 513 "<matplotlib.figure.Figure at 0x7fdc6f1eec10>"
2244 ] 514 ]
2245 } 515 }
2246 ], 516 ],
2247 "prompt_number": 5 517 "prompt_number": 103
2248 }, 518 },
2249 { 519 {
2250 "cell_type": "markdown", 520 "cell_type": "markdown",
2251 "metadata": {}, 521 "metadata": {},
2252 "source": [ 522 "source": [
Line 2258... Line 528...
2258 "collapsed": false, 528 "collapsed": false,
2259 "input": [ 529 "input": [
2260 "from sympy import *\n", 530 "from sympy import *\n",
2261 "init_printing()\n", 531 "init_printing()\n",
2262 "\n", 532 "\n",
2263 "#p0 = Symbol('p_0')\n", 533 "p0 = Symbol('p_0')\n",
2264 "#l = Symbol('L')\n", 534 "l = Symbol('L')\n",
2265 "#cp = Symbol('C_p')\n", 535 "cp = Symbol('C_p')\n",
2266 "#t0 = Symbol('T_0')\n", 536 "t0 = Symbol('T_0')\n",
2267 "#g = Symbol('g')\n", -  
2268 "#m = Symbol('M')\n", -  
2269 "#r = Symbol('R')\n", -  
2270 "#p = Symbol('p')\n", -  
2271 "#h = Symbol('h')\n", -  
2272 "\n", -  
2273 "po = Symbol('po')\n", -  
2274 "l = Symbol('l')\n", -  
2275 "cp = Symbol('cp')\n", -  
2276 "to = Symbol('to')\n", -  
2277 "g = Symbol('g')\n", 537 "g = Symbol('g')\n",
2278 "m = Symbol('m')\n", 538 "m = Symbol('M')\n",
2279 "r = Symbol('r')\n", 539 "r = Symbol('R')\n",
2280 "p = Symbol('p')\n", 540 "p = Symbol('p')\n",
2281 "h = Symbol('h')\n", 541 "h = Symbol('h')\n",
2282 "\n", 542 "\n",
2283 "bf = Eq(po*(1 - (l*h)/to)**((g*m)/(r*l)), p)\n", 543 "bf = Eq(po*(1 - (l*h)/to)**((g*m)/(r*l)), p)\n",
2284 "\n", 544 "\n",
Line 2287... Line 547...
2287 "language": "python", 547 "language": "python",
2288 "metadata": {}, 548 "metadata": {},
2289 "outputs": [ 549 "outputs": [
2290 { 550 {
2291 "latex": [ 551 "latex": [
2292 "$$po \\left(- \\frac{h l}{to} + 1\\right)^{\\frac{g m}{l r}} = p$$" 552 "$$po \\left(- \\frac{L h}{to} + 1\\right)^{\\frac{M g}{L R}} = p$$"
2293 ], 553 ],
2294 "metadata": {}, 554 "metadata": {},
2295 "output_type": "pyout", 555 "output_type": "pyout",
2296 "png": "iVBORw0KGgoAAAANSUhEUgAAAMQAAAA5BAMAAACbhJmfAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n27jGBHDM01qo4RvdYgkTer/nUAAAAABJRU5ErkJggg==\n", 556 "png": "iVBORw0KGgoAAAANSUhEUgAAAM0AAAA7BAMAAAAqWRNeAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nVFRM8z9e2xi+X5NrJwAAAABJRU5ErkJggg==\n",
2297 "prompt_number": 26, 557 "prompt_number": 73,
2298 "text": [ 558 "text": [
2299 " g\u22c5m \n", 559 " M\u22c5g \n",
2300 " \u2500\u2500\u2500 \n", 560 " \u2500\u2500\u2500 \n",
2301 " l\u22c5r \n", 561 " L\u22c5R \n",
2302 " \u239b h\u22c5l \u239e \n", 562 " \u239b L\u22c5h \u239e \n",
2303 "po\u22c5\u239c- \u2500\u2500\u2500 + 1\u239f = p\n", 563 "po\u22c5\u239c- \u2500\u2500\u2500 + 1\u239f = p\n",
2304 " \u239d to \u23a0 " 564 " \u239d to \u23a0 "
2305 ] 565 ]
2306 } 566 }
2307 ], 567 ],
2308 "prompt_number": 26 568 "prompt_number": 73
2309 }, 569 },
2310 { 570 {
2311 "cell_type": "markdown", 571 "cell_type": "markdown",
2312 "metadata": {}, 572 "metadata": {},
2313 "source": [ 573 "source": [
Line 2316... Line 576...
2316 }, 576 },
2317 { 577 {
2318 "cell_type": "code", 578 "cell_type": "code",
2319 "collapsed": false, 579 "collapsed": false,
2320 "input": [ 580 "input": [
-   581 "solve(bf, h)"
-   582 ],
-   583 "language": "python",
-   584 "metadata": {},
-   585 "outputs": [
-   586 {
-   587 "latex": [
2321 "#bf.subs(p0, 101325,simultaneous=True); # standardn\u00ed tlak v Pa na hladin\u011b mo\u0159e\n", 588 "$$\\begin{bmatrix}- \\frac{to}{L} \\left(\\left(\\frac{p}{po}\\right)^{\\frac{L R}{M g}} - 1\\right)\\end{bmatrix}$$"
-   589 ],
-   590 "metadata": {},
-   591 "output_type": "pyout",
2322 "#bf.subs(l, 0.0065,simultaneous=True); # Pokles teploty s v\u00fd\u0161kou [K/m]\n", 592 "png": "iVBORw0KGgoAAAANSUhEUgAAAMAAAAA0BAMAAAAu8So7AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n",
-   593 "prompt_number": 74,
-   594 "text": [
-   595 "\u23a1 \u239b L\u22c5R \u239e \u23a4\n",
2323 "#bf.subs(cp, 1007,simultaneous=True); # specifick\u00e9 teplo p\u0159i konstantn\u00edm tlaku J/(kg\u2022K)\n", 596 "\u23a2 \u239c \u2500\u2500\u2500 \u239f \u23a5\n",
-   597 "\u23a2 \u239c M\u22c5g \u239f \u23a5\n",
2324 "#bf.subs(t0, 288.15,simultaneous=True); # standardn\u00ed teplota na hladin\u011b mo\u0159e K\n", 598 "\u23a2 \u239c\u239bp \u239e \u239f \u23a5\n",
2325 "#bf.subs(g, 9.80665,simultaneous=True); # standardn\u00ed gravita\u010dn\u00ed zrychlen\u00ed na povrchu zem\u011b\n", 599 "\u23a2-to\u22c5\u239c\u239c\u2500\u2500\u239f - 1\u239f \u23a5\n",
2326 "#bf.subs(m, 0.0289644,simultaneous=True); # mol\u00e1rn\u00ed hmotnost such\u00e9ho vzduchu\tkg/mol\n", 600 "\u23a2 \u239d\u239dpo\u23a0 \u23a0 \u23a5\n",
2327 "#bf.subs(r, 8.31447,simultaneous=True); # univerz\u00e1ln\u00ed plynov\u00e1 konstanta J/(mol\u2022K)\n", 601 "\u23a2\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u23a5\n",
-   602 "\u23a3 L \u23a6"
2328 "\n", 603 ]
-   604 }
-   605 ],
2329 "bfh=solve(bf, h)\n", 606 "prompt_number": 74
2330 "\n", 607 },
2331 "#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", -  
2332 "\n", 608 {
-   609 "cell_type": "code",
-   610 "collapsed": false,
2333 "\n", 611 "input": [
-   612 "def compute_altitude(pressure):\n",
-   613 " p0 = 101325 # standardn\u00ed tlak v Pa na hladin\u011b mo\u0159e\n",
-   614 " l = 0.0065 # Pokles teploty s v\u00fd\u0161kou [K/m]\n",
-   615 " cp = 1007 # specifick\u00e9 teplo p\u0159i konstantn\u00edm tlaku J/(kg\u2022K)\n",
-   616 " t0 = 288.15 # standardn\u00ed teplota na hladin\u011b mo\u0159e K\n",
-   617 " g = 9.80665 # standardn\u00ed gravita\u010dn\u00ed zrychlen\u00ed na povrchu zem\u011b\n",
-   618 " m = 0.0289644 # mol\u00e1rn\u00ed hmotnost such\u00e9ho vzduchu\tkg/mol\n",
-   619 " r = 8.31447 # univerz\u00e1ln\u00ed plynov\u00e1 konstanta J/(mol\u2022K)\n",
2334 "\n", 620 "\n",
2335 "#bf.subs(p, 98296.0)\n", 621 " return ((-t0/l)*((pressure/p0)**((l*r)/(m*g)) -1))"
2336 "#N(bf,5)\n", -  
2337 "#bf.evalf(n=3)" -  
2338 ], 622 ],
2339 "language": "python", 623 "language": "python",
2340 "metadata": {}, 624 "metadata": {},
2341 "outputs": [], 625 "outputs": [],
2342 "prompt_number": 27 626 "prompt_number": 77
-   627 },
-   628 {
-   629 "cell_type": "markdown",
-   630 "metadata": {},
-   631 "source": [
-   632 "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."
-   633 ]
2343 }, 634 },
2344 { 635 {
2345 "cell_type": "code", 636 "cell_type": "code",
2346 "collapsed": false, 637 "collapsed": false,
2347 "input": [ 638 "input": [
2348 "lambdify(bf,h)" 639 "[compute_altitude(average(pl)), compute_altitude(min(pl)), compute_altitude(max(pl))]"
2349 ], 640 ],
2350 "language": "python", 641 "language": "python",
2351 "metadata": {}, 642 "metadata": {},
2352 "outputs": [ 643 "outputs": [
2353 { 644 {
-   645 "latex": [
-   646 "$$\\begin{bmatrix}254.884550761, & 255.253104054, & 254.336010772\\end{bmatrix}$$"
-   647 ],
2354 "ename": "SyntaxError", 648 "metadata": {},
-   649 "output_type": "pyout",
2355 "evalue": "invalid syntax (<string>, line 1)", 650 "png": "iVBORw0KGgoAAAANSUhEUgAAAcYAAAAZBAMAAABZU5NUAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\noUX/AG/BhazV5YXLAAAAAElFTkSuQmCC\n",
2356 "output_type": "pyerr", 651 "prompt_number": 105,
2357 "traceback": [ 652 "text": [
2358 "\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" 653 "[254.884550761, 255.253104054, 254.336010772]"
2359 ] 654 ]
2360 } 655 }
2361 ], 656 ],
2362 "prompt_number": 28 657 "prompt_number": 105
-   658 },
-   659 {
-   660 "cell_type": "markdown",
-   661 "metadata": {},
-   662 "source": [
-   663 "A pro pr\u016fm\u011brn\u00fd, minim\u00e1ln\u00ed a maxim\u00e1ln\u00ed tlak nam\u011b\u0159en\u00fd na stole."
-   664 ]
2363 }, 665 },
2364 { 666 {
2365 "cell_type": "code", 667 "cell_type": "code",
2366 "collapsed": false, 668 "collapsed": false,
2367 "input": [ 669 "input": [
2368 "type(cp)" 670 "[compute_altitude(average(ph)), compute_altitude(min(ph)), compute_altitude(max(ph))]"
2369 ], 671 ],
2370 "language": "python", 672 "language": "python",
2371 "metadata": {}, 673 "metadata": {},
2372 "outputs": [ 674 "outputs": [
2373 { 675 {
-   676 "latex": [
-   677 "$$\\begin{bmatrix}255.976385359, & 256.426248725, & 255.701016336\\end{bmatrix}$$"
-   678 ],
2374 "metadata": {}, 679 "metadata": {},
2375 "output_type": "pyout", 680 "output_type": "pyout",
2376 "prompt_number": 60, 681 "png": "iVBORw0KGgoAAAANSUhEUgAAAcYAAAAZBAMAAABZU5NUAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\naFkqAAAAAElFTkSuQmCC\n",
-   682 "prompt_number": 106,
2377 "text": [ 683 "text": [
2378 "sympy.core.symbol.Symbol" 684 "[255.976385359, 256.426248725, 255.701016336]"
2379 ] 685 ]
2380 } 686 }
2381 ], 687 ],
2382 "prompt_number": 60 688 "prompt_number": 106
-   689 },
-   690 {
-   691 "cell_type": "markdown",
-   692 "metadata": {},
-   693 "source": [
-   694 "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. "
-   695 ]
2383 }, 696 },
2384 { 697 {
2385 "cell_type": "code", 698 "cell_type": "code",
2386 "collapsed": false, 699 "collapsed": false,
2387 "input": [ 700 "input": [
2388 "\n", -  
2389 "\n", -  
2390 "import sys\n", -  
2391 "import time\n", -  
2392 "\n", -  
2393 "\n", -  
2394 "\n", -  
2395 "from IPython.display import clear_output\n", -  
2396 "for i in range(10):\n", 701 " Out[106][0] - Out[105][0]"
2397 " time.sleep(0.25)\n", -  
2398 " clear_output()\n", -  
2399 " print i\n", -  
2400 " sys.stdout.flush()\n", -  
2401 "\n" -  
2402 ], 702 ],
2403 "language": "python", 703 "language": "python",
2404 "metadata": {}, 704 "metadata": {},
2405 "outputs": [ 705 "outputs": [
2406 { 706 {
-   707 "latex": [
-   708 "$$1.09183459838$$"
-   709 ],
-   710 "metadata": {},
2407 "output_type": "stream", 711 "output_type": "pyout",
2408 "stream": "stdout", 712 "png": "iVBORw0KGgoAAAANSUhEUgAAAH8AAAAPBAMAAAA/sQ3hAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nrr9tDt9BYd4cugAAAABJRU5ErkJggg==\n",
-   713 "prompt_number": 110,
2409 "text": [ 714 "text": [
2410 "9\n" 715 "1.09183459838"
2411 ] 716 ]
2412 } 717 }
2413 ], 718 ],
2414 "prompt_number": 10 719 "prompt_number": 110
2415 }, 720 },
2416 { 721 {
2417 "cell_type": "markdown", 722 "cell_type": "markdown",
2418 "metadata": {}, 723 "metadata": {},
2419 "source": [ 724 "source": [
Line 2423... Line 728...
2423 "Vid\u00edme, \u017ee nam\u011b\u0159en\u00e9 hodnoty nevykazuj\u00ed \u017e\u00e1dn\u00fd trend, a m\u011b\u0159en\u00e9 chyby jsou zp\u016fsobeny pravd\u011bpodobn\u011b \u0161umem obvod\u016f \u010didla. Je to d\u016fsledek tepeln\u00e9 stability \u010didla, a faktu, \u017ee tlakov\u00e9 zm\u011bny v atmosf\u00e9\u0159e jsou relativn\u011b pomal\u00e9. S \u010dasovou konstantou minim\u00e1ln\u011b jednotky minut a na\u0161e m\u011b\u0159en\u00ed trvalo \u0159\u00e1dov\u011b des\u00edtky sekund. \n", 728 "Vid\u00edme, \u017ee nam\u011b\u0159en\u00e9 hodnoty nevykazuj\u00ed \u017e\u00e1dn\u00fd trend, a m\u011b\u0159en\u00e9 chyby jsou zp\u016fsobeny pravd\u011bpodobn\u011b \u0161umem obvod\u016f \u010didla. Je to d\u016fsledek tepeln\u00e9 stability \u010didla, a faktu, \u017ee tlakov\u00e9 zm\u011bny v atmosf\u00e9\u0159e jsou relativn\u011b pomal\u00e9. S \u010dasovou konstantou minim\u00e1ln\u011b jednotky minut a na\u0161e m\u011b\u0159en\u00ed trvalo \u0159\u00e1dov\u011b des\u00edtky sekund. \n",
2424 "\n", 729 "\n",
2425 "Absolutn\u00ed kalibrace tlaku\n", 730 "Absolutn\u00ed kalibrace tlaku\n",
2426 "------------------\n", 731 "------------------\n",
2427 "\n", 732 "\n",
2428 "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. " 733 "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. "
2429 ] 734 ]
2430 }, 735 },
2431 { 736 {
2432 "cell_type": "code", 737 "cell_type": "code",
2433 "collapsed": false, 738 "collapsed": false,