{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "

Adatfájlok, hisztogramok, logaritmikus ábrák és fényképek


\n", "\n", "Ebben a Notebookban bemutatjuk a hogyan kell adatfájlokat beolvasni/kimenteni, hisztogramokat készíteni, logaritmikus tengelyeket beállítani." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline \n", "figsize(6,6) #Képméret megváltoztatása" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Adatfájlok kezelése a numpy csomaggal\n", "\n", "A `numpy` csomag segítségével lehetőség van adatfájlok beolvasására változókba, illetve változók adatait kimenteni fájlokba." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Adatok beolvasása fájlból\n", "\n", "Adatok beolvasását a `numpy` **`loadtxt`** parancsa teszi lehetővé. Számos kapcsolója van, melyekkel megadható, hogy mi az oszlopelválasztó karakter, melyik oszlopot akarjuk beolvasni stb." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "run_control": { "frozen": false, "marked": false, "read_only": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "2\n", "[[ 0. 0. 2.0312 ]\n", " [ 0.0159236 0.0159229 2.08116 ]\n", " [ 0.0318471 0.0318418 2.43211 ]\n", " ..., \n", " [ 15.8758 -0.167046 2.68881 ]\n", " [ 15.8917 -0.182724 2.86203 ]\n", " [ 15.9076 -0.198356 3.0767 ]]\n" ] } ], "source": [ "figsize(7,7)\n", "data=loadtxt(\"sinusadatok.dat\")\n", "print(type(data))\n", "print(ndim(data))\n", "print(data)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "run_control": { "frozen": false, "marked": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "[,\n", " ,\n", " ]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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3bRpw5Ihc18+cBw+WZk6XLsD338uHAgAGDQIaNZIl6e+5xy0/QnFkZEjhR0qK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\nuki/m/oRHxVPl05diI6Mpm1YWxyOisoKys6Vsb98P3vL9lJ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(data)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 0.0159236 0.0318471 0.0477707 0.0636943 0.0796178\n", " 0.0955414 0.111465 0.127389 0.143312 ]\n" ] } ], "source": [ "x=data[:,0]\n", "print(x[0:10])" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ufFzJMGdoXIXhLK6dt+zkr02SKcgaqryzEvecfg9fL3X5XMh35GN31W44LA5c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\nrF+iq29fOqF5zBjVkbCMmjShId3wcNWR+GfPHhpFOnVK2wMvbbMBOT6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tC5QoQRXVrWbp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\n4mKMMWYpnLgYY4xZCicuxhhjlvL/svqFiJCbMUAAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "y=data[:,1]\n", "z=data[:,2]\n", "plot(x,y, label=\"sinus\")\n", "plot(x,z, label=\"1,5*cosinus+3\")\n", "legend(loc='best') # Ábrafelirat elhelyezése" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Adatok mentése fájlba\n", "\n", "Adatokat (listákat, tömböket) a `savetxt` paranccsal lehet." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [], "source": [ "x = arange(0.0,5.0,1.0) # hozzuk létre x,y és z listát\n", "y = arange(0.0,5.0,1.0)\n", "z = arange(0.0,5.0,1.0)\n", "savetxt('adat.csv', x, delimiter=',') # Mentsük le x-t mint egy vektort\n", "savetxt('adat1.csv', (x,y,z)) # Mentsük el 2Dimenziós vektroként \n", " #az x,y,z-t (egymás alá írva őket)\n", "savetxt('adat2.csv', x, fmt='%1.4e') # Formatban megadható a kiírt adatok formátuma\n", " # használhatunk exponenciális alakot a fájlban" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "xx=loadtxt(\"adat.csv\", delimiter=',')\n", "plot(xx)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[ 0. 1. 2. 3. 4.]\n", " [ 0. 1. 2. 3. 4.]\n", " [ 0. 1. 2. 3. 4.]]\n" ] }, { "data": { "text/plain": [ "[,\n", " ,\n", " ,\n", " ,\n", " ]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "yy=loadtxt(\"adat1.csv\",)\n", "print(yy)\n", "plot(yy)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1. 2. 3. 4.]\n" ] } ], "source": [ "zz=loadtxt(\"adat2.csv\")\n", "print(zz)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Hisztogramok készítése\n", "\n", "Ehhez használni kell **`hist`** függvényt `matplotlib.pyplot` csomagból. \n", "3 objektuma van a `hist` függvénynek: \n", "- n: binekben levő darabszám vagy valószínűség\n", "- bins: binek\n", "- patches: a létrehozott téglalapok információi" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 1.993849 2.55157255 2.19095708 ..., 1.82069143 2.28879153\n", " 1.95668245]\n" ] } ], "source": [ "# Legyen egy adatsorunk normál eloszlású\n", "mu, sigma = 2, 0.5 # átlaga 2, szorásnégyzete 0.5\n", "v = random.normal(mu,sigma,10000) # Készítsünk egy 10000 elemű véletelen számsort\n", "print(v)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "(array([ 1., 6., 5., 9., 4., 17., 21., 32., 60.,\n", " 69., 115., 138., 174., 217., 287., 322., 402., 446.,\n", " 516., 553., 600., 669., 632., 577., 588., 602., 504.,\n", " 426., 445., 362., 292., 241., 188., 138., 113., 59.,\n", " 64., 39., 25., 12., 14., 7., 5., 1., 0.,\n", " 2., 0., 0., 0., 1.]),\n", " array([ 0.23053514, 0.3092266 , 0.38791806, 0.46660951, 0.54530097,\n", " 0.62399243, 0.70268388, 0.78137534, 0.8600668 , 0.93875825,\n", " 1.01744971, 1.09614117, 1.17483263, 1.25352408, 1.33221554,\n", " 1.410907 , 1.48959845, 1.56828991, 1.64698137, 1.72567282,\n", " 1.80436428, 1.88305574, 1.96174719, 2.04043865, 2.11913011,\n", " 2.19782157, 2.27651302, 2.35520448, 2.43389594, 2.51258739,\n", " 2.59127885, 2.66997031, 2.74866176, 2.82735322, 2.90604468,\n", " 2.98473613, 3.06342759, 3.14211905, 3.2208105 , 3.29950196,\n", " 3.37819342, 3.45688488, 3.53557633, 3.61426779, 3.69295925,\n", " 3.7716507 , 3.85034216, 3.92903362, 4.00772507, 4.08641653,\n", " 4.16510799]),\n", " )" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hist(v, bins=50) # Készítsünk 50 binből álló hisztogramot (matplotlib-el)\n", "# show()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false, "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mu, sigma = 100, 15\n", "x = mu + sigma * random.randn(10000)\n", "\n", "n, bins, patches = hist(x, 50, normed=1, facecolor='g', alpha=0.75) \n", "\n", "xlabel('Smarts')\n", "ylabel('Probability')\n", "title('Histogram of IQ')\n", "text(60, .025, r'$\\mu=100,\\ \\sigma=15$', fontsize=15) # Szöveg elhelyezése az ávbrában (x,y helyen)\n", "axis([40, 160, 0, 0.03])\n", "grid(True) # rács megjelenítése\n", "# show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Hisztogram ábrázolása, az eloszlásfüggvénnyel közösen" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false, "run_control": { "frozen": false, "marked": false, "read_only": false } }, "outputs": [ { "data": { "image/png": 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+5ZcwIPhr1+pzoBz4JfAeZ7zQDa4z7YE64xOSvO59ILee99wEnOZjmCKSIrEc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\nRr9cPU5/aDNCvH7Jf/833HgjPP44o56ZXO+BCDp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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mu, sigma = 100, 15\n", "x = mu + sigma*random.randn(10000)\n", "\n", "# oszlopdiagram készítése\n", "n, bins, patches = hist(x, 50, normed=1, facecolor='green', alpha=0.75)\n", "\n", "# addjuk hozzá a numerikus görbét\n", "y = normpdf( bins, mu, sigma)\n", "l = plot(bins, y, 'r--', linewidth=3)\n", "\n", "xlabel('Smarts')\n", "ylabel('Probability')\n", "title(r'$\\mathrm{Histogram\\ of\\ IQ:}\\ \\mu=100,\\ \\sigma=15$')\n", "axis([40, 160, 0, 0.03])\n", "grid(True)\n", "\n", "# show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Logaritmikus tengelyek beállítása" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false, "run_control": { "frozen": false, "marked": false, "read_only": false } }, "outputs": [ { "data": { "image/png": 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591z4xS/ghRdg9tmLTiNJktT+Hn0Uzjij6BTty66YUgfy8MOw7bZphsuuXYtO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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "figsize(15,10)\n", "\n", "# 0 és 1 közötti számok generálása, majd sorbarendezzük a \"sort\" paranccsal\n", "y = random.normal(loc=0.5, scale=0.4, size=1000)\n", "y = y[(y > 0) & (y < 1)]\n", "y.sort()\n", "\n", "x = arange(len(y)) # x legyen az y lista hosszával megegyező másik lista\n", "\n", "\n", "# lineáris tengelyek (default)\n", "subplot(221)\n", "plot(x, y)\n", "yscale('linear')\n", "title('linear')\n", "grid(True)\n", "\n", "\n", "# log x tengely\n", "subplot(222)\n", "plot(x, y)\n", "xscale('log')\n", "title('x-log')\n", "grid(True)\n", "\n", "\n", "# log y tengely\n", "subplot(223)\n", "plot(x, y)\n", "yscale('log')\n", "title('y-log')\n", "grid(True)\n", "\n", "# loglog\n", "subplot(224)\n", "plot(x, y)\n", "xscale('log')\n", "yscale('log')\n", "title('log-log')\n", "grid(True)\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false, "run_control": 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