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

Adatfájlok, hisztogramok, logaritmikus ábrák


\n", "\n", "Ebben a Notebookban bemutatjuk a hogyan kell adatfájlokat beolvasni/kimenteni, hisztogramokat készíteni, logaritmikus tengelyeket beállítani." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "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": 2, "metadata": { "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": 3, "metadata": { "run_control": { "frozen": false, "marked": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "[,\n", " ,\n", " ]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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LvYNnAxrhk+FMCSHrx6JGRHoyc/Lw8prT2H0xBrP6NcNr/ZtBCBY0sn4sakSkQx17FXIr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\n/rJ0iwCU70ytK4BrUsobUspsAGsBFIxVGA5guVQ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(data)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "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": 5, "metadata": { "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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x8Shsxet0dTkIeHeZv8TiATOUkoTQMuv/ym27WqXH9R4IPHJS32tcBBEOomtc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\nRYkYnT0OlO6swUUjcxFvs6otDhECpLhMxsKx+ei2O/HpTuV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+0EoHpN9qPJCzxcfH06RJ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\nlFLKVrRwKaWUspX/AzheA5Xke8ESAAAAAElFTkSuQmCC\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": 6, "metadata": { "collapsed": true, "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 vektorként \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": 7, "metadata": { "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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a7y9exetr9vGD63rx3Wt6eh1JRET8ELHlVV5Zzf0LV/Lm+v38+Ibe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\nAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "xx=loadtxt(\"adat.csv\", delimiter=',')\n", "plot(xx)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "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": 8, "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": 9, "metadata": { "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": 10, "metadata": { "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 2.6406123 1.93939878 1.90860069 ..., 2.14456813 2.06820837\n", " 1.78282325]\n" ] } ], "source": [ "# Legyen egy adatsorunk normál eloszlású\n", "mu, sigma = 2, 0.5 # átlaga 2, szórásnégyzete 0.5\n", "v = random.normal(mu,sigma,10000) # Készítsünk egy 10000 elemű véletlen számsort\n", "print(v)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "run_control": { "frozen": false, "read_only": false } }, "outputs": [ { "data": { "text/plain": [ "(array([ 1., 1., 2., 1., 6., 5., 19., 31., 27.,\n", " 45., 63., 70., 88., 133., 160., 231., 256., 321.,\n", " 348., 442., 515., 536., 544., 546., 555., 581., 607.,\n", " 529., 553., 480., 414., 371., 337., 263., 221., 181.,\n", " 125., 124., 86., 71., 36., 19., 20., 13., 9.,\n", " 3., 5., 4., 0., 2.]),\n", " array([ 0.12861061, 0.2034235 , 0.2782364 , 0.35304929, 0.42786219,\n", " 0.50267508, 0.57748798, 0.65230087, 0.72711377, 0.80192666,\n", " 0.87673956, 0.95155246, 1.02636535, 1.10117825, 1.17599114,\n", " 1.25080404, 1.32561693, 1.40042983, 1.47524272, 1.55005562,\n", " 1.62486851, 1.69968141, 1.7744943 , 1.8493072 , 1.9241201 ,\n", " 1.99893299, 2.07374589, 2.14855878, 2.22337168, 2.29818457,\n", " 2.37299747, 2.44781036, 2.52262326, 2.59743615, 2.67224905,\n", " 2.74706195, 2.82187484, 2.89668774, 2.97150063, 3.04631353,\n", " 3.12112642, 3.19593932, 3.27075221, 3.34556511, 3.420378 ,\n", " 3.4951909 , 3.5700038 , 3.64481669, 3.71962959, 3.79444248,\n", " 3.86925538]),\n", " )" ] }, "execution_count": 11, "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": 12, "metadata": { "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 ábrában (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": 13, "metadata": { "run_control": { "frozen": false, "marked": false, "read_only": false } }, "outputs": [ { "data": { "image/png": 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jb1xwQdDhiDRJCVQkHKHtn4V5av+MsGUDNam2xD9V4YqE49136xYXFer2FZFU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\nD1UHClwMXCFpO3A3cKmkFTRr+L+dwE7ba+vjeyk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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", "# adjuk 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": 14, "metadata": { "run_control": { "frozen": false, "marked": false, "read_only": false } }, "outputs": [ { "data": { "image/png": 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PZJOeFM3CCyY7HafbqdiJ+LnmNjcvZu9n6aZiVuVWEGJg1ogULj1qEHNGpeg9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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "figsize(15,10)\n", "\n", "# 0 és 1 közötti számok generálása, majd sorba rendezzük 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" ] } ], "metadata": { "hide_input": false, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" }, "latex_envs": { "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 0 }, "nav_menu": {}, "toc": { "navigate_menu": true, "number_sections": false, "sideBar": true, "threshold": 6, "toc_cell": false, "toc_section_display": "block", "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 1 }