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+"504",0.06076,0,11.93,0,0.573,6.976,91,2.1675,1,273,21,396.9,5.64,23.9 +"505",0.10959,0,11.93,0,0.573,6.794,89.3,2.3889,1,273,21,393.45,6.48,22 +"506",0.04741,0,11.93,0,0.573,6.03,80.8,2.505,1,273,21,396.9,7.88,11.9 diff --git a/intro-to-python.ipynb b/intro-to-python.ipynb index f64266f..aaf0630 100644 --- a/intro-to-python.ipynb +++ b/intro-to-python.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -135,7 +135,7 @@ "numpy.ndarray" ] }, - "execution_count": 21, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -158,29 +158,29 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "rnd= [1 2 5 7 6]\n", + "rnd= [2 1 7 4 0]\n", "words= ['dog', 'cat', 'bear', 'panda', 'giraffe', 'mouse', 'human']\n", "\n", "Traditional:\n", - "i= 1\n", "i= 2\n", - "i= 5\n", + "i= 1\n", "i= 7\n", - "i= 6\n", + "i= 4\n", + "i= 0\n", "\n", "Python-style:\n", - "j= 1\n", "j= 2\n", - "j= 5\n", + "j= 1\n", "j= 7\n", - "j= 6\n", + "j= 4\n", + "j= 0\n", "dog\n", "cat\n", "bear\n", @@ -215,7 +215,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -245,16 +245,16 @@ }, { "cell_type": "code", - "execution_count": 145, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 145, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, @@ -291,7 +291,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -703,7 +703,7 @@ "### Loading Data ###\n", "\n", "#Traditional python reader\n", - "fname = 'C:/Users/Tingi/Downloads/Auto.csv'\n", + "fname = 'Auto.csv'\n", "f = open(fname, 'r')\n", "reader = csv.reader(f) \n", "\n", @@ -715,7 +715,7 @@ }, { "cell_type": "code", - "execution_count": 210, + "execution_count": 27, "metadata": { "scrolled": true }, @@ -873,754 +873,37 @@ " 1\n", " amc ambassador dpl\n", " \n", - " \n", - " 10\n", - " 15.0\n", - " 8\n", - " 383.0\n", - " 170.0\n", - " 3563\n", - " 10.0\n", - " 70\n", - " 1\n", - " dodge challenger se\n", - " \n", - " \n", - " 11\n", - " 14.0\n", - " 8\n", - " 340.0\n", - " 160.0\n", - " 3609\n", - " 8.0\n", - " 70\n", - " 1\n", - " plymouth 'cuda 340\n", - " \n", - " \n", - " 12\n", - " 15.0\n", - " 8\n", - " 400.0\n", - " 150.0\n", - " 3761\n", - " 9.5\n", - " 70\n", - " 1\n", - " chevrolet monte carlo\n", - " \n", - " \n", - " 13\n", - " 14.0\n", - " 8\n", - " 455.0\n", - " 225.0\n", - " 3086\n", - " 10.0\n", - " 70\n", - " 1\n", - " buick estate wagon (sw)\n", - " \n", - " \n", - " 14\n", - " 24.0\n", - " 4\n", - " 113.0\n", - " 95.0\n", - " 2372\n", - " 15.0\n", - " 70\n", - " 3\n", - " toyota corona mark ii\n", - " \n", - " \n", - " 15\n", - " 22.0\n", - " 6\n", - " 198.0\n", - " 95.0\n", - " 2833\n", - " 15.5\n", - " 70\n", - " 1\n", - " plymouth duster\n", - " \n", - " \n", - " 16\n", - " 18.0\n", - " 6\n", - " 199.0\n", - " 97.0\n", - " 2774\n", - " 15.5\n", - " 70\n", - " 1\n", - " amc hornet\n", - " \n", - " \n", - " 17\n", - " 21.0\n", - " 6\n", - " 200.0\n", - " 85.0\n", - " 2587\n", - " 16.0\n", - " 70\n", - " 1\n", - " ford maverick\n", - " \n", - " \n", - " 18\n", - " 27.0\n", - " 4\n", - " 97.0\n", - " 88.0\n", - " 2130\n", - " 14.5\n", - " 70\n", - " 3\n", - " datsun pl510\n", - " \n", - " \n", - " 19\n", - " 26.0\n", - " 4\n", - " 97.0\n", - " 46.0\n", - " 1835\n", - " 20.5\n", - " 70\n", - " 2\n", - " volkswagen 1131 deluxe sedan\n", - " \n", - " \n", - " 20\n", - " 25.0\n", - " 4\n", - " 110.0\n", - " 87.0\n", - " 2672\n", - " 17.5\n", - " 70\n", - " 2\n", - " peugeot 504\n", - " \n", - " \n", - " 21\n", - " 24.0\n", - " 4\n", - " 107.0\n", - " 90.0\n", - " 2430\n", - " 14.5\n", - " 70\n", - " 2\n", - " audi 100 ls\n", - " \n", - " \n", - " 22\n", - " 25.0\n", - " 4\n", - " 104.0\n", - " 95.0\n", - " 2375\n", - " 17.5\n", - " 70\n", - " 2\n", - " saab 99e\n", - " \n", - " \n", - " 23\n", - " 26.0\n", - " 4\n", - " 121.0\n", - " 113.0\n", - " 2234\n", - " 12.5\n", - " 70\n", - " 2\n", - " bmw 2002\n", - " \n", - " \n", - " 24\n", - " 21.0\n", - " 6\n", - " 199.0\n", - " 90.0\n", - " 2648\n", - " 15.0\n", - " 70\n", - " 1\n", - " amc gremlin\n", - " \n", - " \n", - " 25\n", - " 10.0\n", - " 8\n", - " 360.0\n", - " 215.0\n", - " 4615\n", - " 14.0\n", - " 70\n", - " 1\n", - " ford f250\n", - " \n", - " \n", - " 26\n", - " 10.0\n", - " 8\n", - " 307.0\n", - " 200.0\n", - " 4376\n", - " 15.0\n", - " 70\n", - " 1\n", - " chevy c20\n", - " \n", - " \n", - " 27\n", - " 11.0\n", - " 8\n", - " 318.0\n", - " 210.0\n", - " 4382\n", - " 13.5\n", - " 70\n", - " 1\n", - " dodge d200\n", - " \n", - " \n", - " 28\n", - " 9.0\n", - " 8\n", - " 304.0\n", - " 193.0\n", - " 4732\n", - " 18.5\n", - " 70\n", - " 1\n", - " hi 1200d\n", - " \n", - " \n", - " 29\n", - " 27.0\n", - " 4\n", - " 97.0\n", - " 88.0\n", - " 2130\n", - " 14.5\n", - " 71\n", - " 3\n", - " datsun pl510\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 367\n", - " 28.0\n", - " 4\n", - " 112.0\n", - " 88.0\n", - " 2605\n", - " 19.6\n", - " 82\n", - " 1\n", - " chevrolet cavalier\n", - " \n", - " \n", - " 368\n", - " 27.0\n", - " 4\n", - " 112.0\n", - " 88.0\n", - " 2640\n", - " 18.6\n", - " 82\n", - " 1\n", - " chevrolet cavalier wagon\n", - " \n", - " \n", - " 369\n", - " 34.0\n", - " 4\n", - " 112.0\n", - " 88.0\n", - " 2395\n", - " 18.0\n", - " 82\n", - " 1\n", - " chevrolet cavalier 2-door\n", - " \n", - " \n", - " 370\n", - " 31.0\n", - " 4\n", - " 112.0\n", - " 85.0\n", - " 2575\n", - " 16.2\n", - " 82\n", - " 1\n", - " pontiac j2000 se hatchback\n", - " \n", - " \n", - " 371\n", - " 29.0\n", - " 4\n", - " 135.0\n", - " 84.0\n", - " 2525\n", - " 16.0\n", - " 82\n", - " 1\n", - " dodge aries se\n", - " \n", - " \n", - " 372\n", - " 27.0\n", - " 4\n", - " 151.0\n", - " 90.0\n", - " 2735\n", - " 18.0\n", - " 82\n", - " 1\n", - " pontiac phoenix\n", - " \n", - " \n", - " 373\n", - " 24.0\n", - " 4\n", - " 140.0\n", - " 92.0\n", - " 2865\n", - " 16.4\n", - " 82\n", - " 1\n", - " ford fairmont futura\n", - " \n", - " \n", - " 374\n", - " 36.0\n", - " 4\n", - " 105.0\n", - " 74.0\n", - " 1980\n", - " 15.3\n", - " 82\n", - " 2\n", - " volkswagen rabbit l\n", - " \n", - " \n", - " 375\n", - " 37.0\n", - " 4\n", - " 91.0\n", - " 68.0\n", - " 2025\n", - " 18.2\n", - " 82\n", - " 3\n", - " mazda glc custom l\n", - " \n", - " \n", - " 376\n", - " 31.0\n", - " 4\n", - " 91.0\n", - " 68.0\n", - " 1970\n", - " 17.6\n", - " 82\n", - " 3\n", - " mazda glc custom\n", - " \n", - " \n", - " 377\n", - " 38.0\n", - " 4\n", - " 105.0\n", - " 63.0\n", - " 2125\n", - " 14.7\n", - " 82\n", - " 1\n", - " plymouth horizon miser\n", - " \n", - " \n", - " 378\n", - " 36.0\n", - " 4\n", - " 98.0\n", - " 70.0\n", - " 2125\n", - " 17.3\n", - " 82\n", - " 1\n", - " mercury lynx l\n", - " \n", - " \n", - " 379\n", - " 36.0\n", - " 4\n", - " 120.0\n", - " 88.0\n", - " 2160\n", - " 14.5\n", - " 82\n", - " 3\n", - " nissan stanza xe\n", - " \n", - " \n", - " 380\n", - " 36.0\n", - " 4\n", - " 107.0\n", - " 75.0\n", - " 2205\n", - " 14.5\n", - " 82\n", - " 3\n", - " honda accord\n", - " \n", - " \n", - " 381\n", - " 34.0\n", - " 4\n", - " 108.0\n", - " 70.0\n", - " 2245\n", - " 16.9\n", - " 82\n", - " 3\n", - " toyota corolla\n", - " \n", - " \n", - " 382\n", - " 38.0\n", - " 4\n", - " 91.0\n", - " 67.0\n", - " 1965\n", - " 15.0\n", - " 82\n", - " 3\n", - " honda civic\n", - " \n", - " \n", - " 383\n", - " 32.0\n", - " 4\n", - " 91.0\n", - " 67.0\n", - " 1965\n", - " 15.7\n", - " 82\n", - " 3\n", - " honda civic (auto)\n", - " \n", - " \n", - " 384\n", - " 38.0\n", - " 4\n", - " 91.0\n", - " 67.0\n", - " 1995\n", - " 16.2\n", - " 82\n", - " 3\n", - " datsun 310 gx\n", - " \n", - " \n", - " 385\n", - " 25.0\n", - " 6\n", - " 181.0\n", - " 110.0\n", - " 2945\n", - " 16.4\n", - " 82\n", - " 1\n", - " buick century limited\n", - " \n", - " \n", - " 386\n", - " 38.0\n", - " 6\n", - " 262.0\n", - " 85.0\n", - " 3015\n", - " 17.0\n", - " 82\n", - " 1\n", - " oldsmobile cutlass ciera (diesel)\n", - " \n", - " \n", - " 387\n", - " 26.0\n", - " 4\n", - " 156.0\n", - " 92.0\n", - " 2585\n", - " 14.5\n", - " 82\n", - " 1\n", - " chrysler lebaron medallion\n", - " \n", - " \n", - " 388\n", - " 22.0\n", - " 6\n", - " 232.0\n", - " 112.0\n", - " 2835\n", - " 14.7\n", - " 82\n", - " 1\n", - " ford granada l\n", - " \n", - " \n", - " 389\n", - " 32.0\n", - " 4\n", - " 144.0\n", - " 96.0\n", - " 2665\n", - " 13.9\n", - " 82\n", - " 3\n", - " toyota celica gt\n", - " \n", - " \n", - " 390\n", - " 36.0\n", - " 4\n", - " 135.0\n", - " 84.0\n", - " 2370\n", - " 13.0\n", - " 82\n", - " 1\n", - " dodge charger 2.2\n", - " \n", - " \n", - " 391\n", - " 27.0\n", - " 4\n", - " 151.0\n", - " 90.0\n", - " 2950\n", - " 17.3\n", - " 82\n", - " 1\n", - " chevrolet camaro\n", - " \n", - " \n", - " 392\n", - " 27.0\n", - " 4\n", - " 140.0\n", - " 86.0\n", - " 2790\n", - " 15.6\n", - " 82\n", - " 1\n", - " ford mustang gl\n", - " \n", - " \n", - " 393\n", - " 44.0\n", - " 4\n", - " 97.0\n", - " 52.0\n", - " 2130\n", - " 24.6\n", - " 82\n", - " 2\n", - " vw pickup\n", - " \n", - " \n", - " 394\n", - " 32.0\n", - " 4\n", - " 135.0\n", - " 84.0\n", - " 2295\n", - " 11.6\n", - " 82\n", - " 1\n", - " dodge rampage\n", - " \n", - " \n", - " 395\n", - " 28.0\n", - " 4\n", - " 120.0\n", - " 79.0\n", - " 2625\n", - " 18.6\n", - " 82\n", - " 1\n", - " ford ranger\n", - " \n", - " \n", - " 396\n", - " 31.0\n", - " 4\n", - " 119.0\n", - " 82.0\n", - " 2720\n", - " 19.4\n", - " 82\n", - " 1\n", - " chevy s-10\n", - " \n", " \n", "\n", - "

397 rows × 9 columns

\n", "" ], "text/plain": [ - " mpg cylinders displacement horsepower weight acceleration year \\\n", - "0 18.0 8 307.0 130.0 3504 12.0 70 \n", - "1 15.0 8 350.0 165.0 3693 11.5 70 \n", - "2 18.0 8 318.0 150.0 3436 11.0 70 \n", - "3 16.0 8 304.0 150.0 3433 12.0 70 \n", - "4 17.0 8 302.0 140.0 3449 10.5 70 \n", - "5 15.0 8 429.0 198.0 4341 10.0 70 \n", - "6 14.0 8 454.0 220.0 4354 9.0 70 \n", - "7 14.0 8 440.0 215.0 4312 8.5 70 \n", - "8 14.0 8 455.0 225.0 4425 10.0 70 \n", - "9 15.0 8 390.0 190.0 3850 8.5 70 \n", - "10 15.0 8 383.0 170.0 3563 10.0 70 \n", - "11 14.0 8 340.0 160.0 3609 8.0 70 \n", - "12 15.0 8 400.0 150.0 3761 9.5 70 \n", - "13 14.0 8 455.0 225.0 3086 10.0 70 \n", - "14 24.0 4 113.0 95.0 2372 15.0 70 \n", - "15 22.0 6 198.0 95.0 2833 15.5 70 \n", - "16 18.0 6 199.0 97.0 2774 15.5 70 \n", - "17 21.0 6 200.0 85.0 2587 16.0 70 \n", - "18 27.0 4 97.0 88.0 2130 14.5 70 \n", - "19 26.0 4 97.0 46.0 1835 20.5 70 \n", - "20 25.0 4 110.0 87.0 2672 17.5 70 \n", - "21 24.0 4 107.0 90.0 2430 14.5 70 \n", - "22 25.0 4 104.0 95.0 2375 17.5 70 \n", - "23 26.0 4 121.0 113.0 2234 12.5 70 \n", - "24 21.0 6 199.0 90.0 2648 15.0 70 \n", - "25 10.0 8 360.0 215.0 4615 14.0 70 \n", - "26 10.0 8 307.0 200.0 4376 15.0 70 \n", - "27 11.0 8 318.0 210.0 4382 13.5 70 \n", - "28 9.0 8 304.0 193.0 4732 18.5 70 \n", - "29 27.0 4 97.0 88.0 2130 14.5 71 \n", - ".. ... ... ... ... ... ... ... \n", - "367 28.0 4 112.0 88.0 2605 19.6 82 \n", - "368 27.0 4 112.0 88.0 2640 18.6 82 \n", - "369 34.0 4 112.0 88.0 2395 18.0 82 \n", - "370 31.0 4 112.0 85.0 2575 16.2 82 \n", - "371 29.0 4 135.0 84.0 2525 16.0 82 \n", - "372 27.0 4 151.0 90.0 2735 18.0 82 \n", - "373 24.0 4 140.0 92.0 2865 16.4 82 \n", - "374 36.0 4 105.0 74.0 1980 15.3 82 \n", - "375 37.0 4 91.0 68.0 2025 18.2 82 \n", - "376 31.0 4 91.0 68.0 1970 17.6 82 \n", - "377 38.0 4 105.0 63.0 2125 14.7 82 \n", - "378 36.0 4 98.0 70.0 2125 17.3 82 \n", - "379 36.0 4 120.0 88.0 2160 14.5 82 \n", - "380 36.0 4 107.0 75.0 2205 14.5 82 \n", - "381 34.0 4 108.0 70.0 2245 16.9 82 \n", - "382 38.0 4 91.0 67.0 1965 15.0 82 \n", - "383 32.0 4 91.0 67.0 1965 15.7 82 \n", - "384 38.0 4 91.0 67.0 1995 16.2 82 \n", - "385 25.0 6 181.0 110.0 2945 16.4 82 \n", - "386 38.0 6 262.0 85.0 3015 17.0 82 \n", - "387 26.0 4 156.0 92.0 2585 14.5 82 \n", - "388 22.0 6 232.0 112.0 2835 14.7 82 \n", - "389 32.0 4 144.0 96.0 2665 13.9 82 \n", - "390 36.0 4 135.0 84.0 2370 13.0 82 \n", - "391 27.0 4 151.0 90.0 2950 17.3 82 \n", - "392 27.0 4 140.0 86.0 2790 15.6 82 \n", - "393 44.0 4 97.0 52.0 2130 24.6 82 \n", - "394 32.0 4 135.0 84.0 2295 11.6 82 \n", - "395 28.0 4 120.0 79.0 2625 18.6 82 \n", - "396 31.0 4 119.0 82.0 2720 19.4 82 \n", + " mpg cylinders displacement horsepower weight acceleration year \\\n", + "0 18.0 8 307.0 130.0 3504 12.0 70 \n", + "1 15.0 8 350.0 165.0 3693 11.5 70 \n", + "2 18.0 8 318.0 150.0 3436 11.0 70 \n", + "3 16.0 8 304.0 150.0 3433 12.0 70 \n", + "4 17.0 8 302.0 140.0 3449 10.5 70 \n", + "5 15.0 8 429.0 198.0 4341 10.0 70 \n", + "6 14.0 8 454.0 220.0 4354 9.0 70 \n", + "7 14.0 8 440.0 215.0 4312 8.5 70 \n", + "8 14.0 8 455.0 225.0 4425 10.0 70 \n", + "9 15.0 8 390.0 190.0 3850 8.5 70 \n", "\n", - " origin name \n", - "0 1 chevrolet chevelle malibu \n", - "1 1 buick skylark 320 \n", - "2 1 plymouth satellite \n", - "3 1 amc rebel sst \n", - "4 1 ford torino \n", - "5 1 ford galaxie 500 \n", - "6 1 chevrolet impala \n", - "7 1 plymouth fury iii \n", - "8 1 pontiac catalina \n", - "9 1 amc ambassador dpl \n", - "10 1 dodge challenger se \n", - "11 1 plymouth 'cuda 340 \n", - "12 1 chevrolet monte carlo \n", - "13 1 buick estate wagon (sw) \n", - "14 3 toyota corona mark ii \n", - "15 1 plymouth duster \n", - "16 1 amc hornet \n", - "17 1 ford maverick \n", - "18 3 datsun pl510 \n", - "19 2 volkswagen 1131 deluxe sedan \n", - "20 2 peugeot 504 \n", - "21 2 audi 100 ls \n", - "22 2 saab 99e \n", - "23 2 bmw 2002 \n", - "24 1 amc gremlin \n", - "25 1 ford f250 \n", - "26 1 chevy c20 \n", - "27 1 dodge d200 \n", - "28 1 hi 1200d \n", - "29 3 datsun pl510 \n", - ".. ... ... \n", - "367 1 chevrolet cavalier \n", - "368 1 chevrolet cavalier wagon \n", - "369 1 chevrolet cavalier 2-door \n", - "370 1 pontiac j2000 se hatchback \n", - "371 1 dodge aries se \n", - "372 1 pontiac phoenix \n", - "373 1 ford fairmont futura \n", - "374 2 volkswagen rabbit l \n", - "375 3 mazda glc custom l \n", - "376 3 mazda glc custom \n", - "377 1 plymouth horizon miser \n", - "378 1 mercury lynx l \n", - "379 3 nissan stanza xe \n", - "380 3 honda accord \n", - "381 3 toyota corolla \n", - "382 3 honda civic \n", - "383 3 honda civic (auto) \n", - "384 3 datsun 310 gx \n", - "385 1 buick century limited \n", - "386 1 oldsmobile cutlass ciera (diesel) \n", - "387 1 chrysler lebaron medallion \n", - "388 1 ford granada l \n", - "389 3 toyota celica gt \n", - "390 1 dodge charger 2.2 \n", - "391 1 chevrolet camaro \n", - "392 1 ford mustang gl \n", - "393 2 vw pickup \n", - "394 1 dodge rampage \n", - "395 1 ford ranger \n", - "396 1 chevy s-10 \n", - "\n", - "[397 rows x 9 columns]" + " origin name \n", + "0 1 chevrolet chevelle malibu \n", + "1 1 buick skylark 320 \n", + "2 1 plymouth satellite \n", + "3 1 amc rebel sst \n", + "4 1 ford torino \n", + "5 1 ford galaxie 500 \n", + "6 1 chevrolet impala \n", + "7 1 plymouth fury iii \n", + "8 1 pontiac catalina \n", + "9 1 amc ambassador dpl " ] }, - "execution_count": 210, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1629,19 +912,19 @@ "### Loading data ###\n", "\n", "#Pandas dataframe\n", - "fname = 'C:/Users/Tingi/Downloads/Auto.csv'\n", + "fname = 'Auto.csv'\n", "df = pd.read_csv(fname)\n", "\n", "#Replace errors\n", "df['horsepower']=pd.to_numeric(df['horsepower'], errors='coerce') #set string '?' to nan\n", "\n", - "#Print entire dataframe (df)\n", - "df\n" + "#Print top 10 rows of dataframe (df)\n", + "df.head(10)\n" ] }, { "cell_type": "code", - "execution_count": 199, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -1650,7 +933,7 @@ "RangeIndex(start=0, stop=397, step=1)" ] }, - "execution_count": 199, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1662,7 +945,7 @@ }, { "cell_type": "code", - "execution_count": 200, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1680,7 +963,7 @@ "Name: 0, dtype: object" ] }, - "execution_count": 200, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1693,7 +976,7 @@ }, { "cell_type": "code", - "execution_count": 202, + "execution_count": 13, "metadata": { "scrolled": true }, @@ -1701,71 +984,71 @@ { "data": { "text/plain": [ - "0 130\n", - "1 165\n", - "2 150\n", - "3 150\n", - "4 140\n", - "5 198\n", - "6 220\n", - "7 215\n", - "8 225\n", - "9 190\n", - "10 170\n", - "11 160\n", - "12 150\n", - "13 225\n", - "14 95\n", - "15 95\n", - "16 97\n", - "17 85\n", - "18 88\n", - "19 46\n", - "20 87\n", - "21 90\n", - "22 95\n", - "23 113\n", - "24 90\n", - "25 215\n", - "26 200\n", - "27 210\n", - "28 193\n", - "29 88\n", - " ... \n", - "367 88\n", - "368 88\n", - "369 88\n", - "370 85\n", - "371 84\n", - "372 90\n", - "373 92\n", - "374 74\n", - "375 68\n", - "376 68\n", - "377 63\n", - "378 70\n", - "379 88\n", - "380 75\n", - "381 70\n", - "382 67\n", - "383 67\n", - "384 67\n", - "385 110\n", - "386 85\n", - "387 92\n", - "388 112\n", - "389 96\n", - "390 84\n", - "391 90\n", - "392 86\n", - "393 52\n", - "394 84\n", - "395 79\n", - "396 82\n", - "Name: horsepower, Length: 397, dtype: object" + "0 130.0\n", + "1 165.0\n", + "2 150.0\n", + "3 150.0\n", + "4 140.0\n", + "5 198.0\n", + "6 220.0\n", + "7 215.0\n", + "8 225.0\n", + "9 190.0\n", + "10 170.0\n", + "11 160.0\n", + "12 150.0\n", + "13 225.0\n", + "14 95.0\n", + "15 95.0\n", + "16 97.0\n", + "17 85.0\n", + "18 88.0\n", + "19 46.0\n", + "20 87.0\n", + "21 90.0\n", + "22 95.0\n", + "23 113.0\n", + "24 90.0\n", + "25 215.0\n", + "26 200.0\n", + "27 210.0\n", + "28 193.0\n", + "29 88.0\n", + " ... \n", + "367 88.0\n", + "368 88.0\n", + "369 88.0\n", + "370 85.0\n", + "371 84.0\n", + "372 90.0\n", + "373 92.0\n", + "374 74.0\n", + "375 68.0\n", + "376 68.0\n", + "377 63.0\n", + "378 70.0\n", + "379 88.0\n", + "380 75.0\n", + "381 70.0\n", + "382 67.0\n", + "383 67.0\n", + "384 67.0\n", + "385 110.0\n", + "386 85.0\n", + "387 92.0\n", + "388 112.0\n", + "389 96.0\n", + "390 84.0\n", + "391 90.0\n", + "392 86.0\n", + "393 52.0\n", + "394 84.0\n", + "395 79.0\n", + "396 82.0\n", + "Name: horsepower, Length: 397, dtype: float64" ] }, - "execution_count": 202, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1777,16 +1060,16 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'130'" + "130.0" ] }, - "execution_count": 130, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1798,16 +1081,16 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'130'" + "130.0" ] }, - "execution_count": 132, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1819,7 +1102,7 @@ }, { "cell_type": "code", - "execution_count": 215, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1837,19 +1120,19 @@ "dtype: object" ] }, - "execution_count": 215, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#Excercise 8a\n", + "#Excercise 9a\n", "df.dtypes" ] }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1859,6 +1142,7 @@ "Range mpg : min= 9.0 max= 46.6\n", "Range cylinders : min= 3 max= 8\n", "Range displacement : min= 68.0 max= 455.0\n", + "Range horsepower : min= 46.0 max= 230.0\n", "Range weight : min= 1613 max= 5140\n", "Range acceleration : min= 8.0 max= 24.8\n", "Range year : min= 70 max= 82\n", @@ -1867,14 +1151,14 @@ } ], "source": [ - "#Excercise 8b\n", + "#Excercise 9b\n", "for col in df.select_dtypes(include=['int64','float64']):\n", " print('Range',col,': min=',min(df[col]),'max=',max(df[col]))" ] }, { "cell_type": "code", - "execution_count": 214, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1893,14 +1177,14 @@ } ], "source": [ - "#Excercise 8c\n", + "#Excercise 9c\n", "for col in df.select_dtypes(include=['int64','float64']):\n", " print(col,': mean=',round(np.mean(df[col]),1),'std=',round(np.std(df[col]),1))" ] }, { "cell_type": "code", - "execution_count": 213, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1919,7 +1203,7 @@ } ], "source": [ - "#Excercise 8d\n", + "#Excercise 9d\n", "df_new = df.copy()\n", "df_new = df_new.drop(range(10,85))\n", "for col in df.select_dtypes(include=['int64','float64']):\n", @@ -1928,7 +1212,7 @@ }, { "cell_type": "code", - "execution_count": 212, + "execution_count": 20, "metadata": { "scrolled": true }, @@ -1945,7 +1229,7 @@ } ], "source": [ - "#Excercise 8e\n", + "#Excercise 9e\n", "f, axarr = plt.subplots(5,5,figsize=(18,18))\n", "\n", "col_to_use = ['mpg','displacement','horsepower','weight','acceleration']\n", @@ -1962,6 +1246,611 @@ " c_row += 1\n", "f.subplots_adjust(hspace=0.3, wspace=0.3)\n" ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Columns: 15\n", + "Rows: 506\n" + ] + }, + { + "data": { + "text/html": [ + "
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Unnamed: 0crimzninduschasnoxrmagedisradtaxptratioblacklstatmedv
010.0063218.02.3100.5386.57565.24.0900129615.3396.904.9824.0
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340.032370.02.1800.4586.99845.86.0622322218.7394.632.9433.4
450.069050.02.1800.4587.14754.26.0622322218.7396.905.3336.2
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" + ], + "text/plain": [ + " Unnamed: 0 crim zn indus chas nox rm age dis rad \\\n", + "0 1 0.00632 18.0 2.31 0 0.538 6.575 65.2 4.0900 1 \n", + "1 2 0.02731 0.0 7.07 0 0.469 6.421 78.9 4.9671 2 \n", + "2 3 0.02729 0.0 7.07 0 0.469 7.185 61.1 4.9671 2 \n", + "3 4 0.03237 0.0 2.18 0 0.458 6.998 45.8 6.0622 3 \n", + "4 5 0.06905 0.0 2.18 0 0.458 7.147 54.2 6.0622 3 \n", + "5 6 0.02985 0.0 2.18 0 0.458 6.430 58.7 6.0622 3 \n", + "6 7 0.08829 12.5 7.87 0 0.524 6.012 66.6 5.5605 5 \n", + "7 8 0.14455 12.5 7.87 0 0.524 6.172 96.1 5.9505 5 \n", + "8 9 0.21124 12.5 7.87 0 0.524 5.631 100.0 6.0821 5 \n", + "9 10 0.17004 12.5 7.87 0 0.524 6.004 85.9 6.5921 5 \n", + "\n", + " tax ptratio black lstat medv \n", + "0 296 15.3 396.90 4.98 24.0 \n", + "1 242 17.8 396.90 9.14 21.6 \n", + "2 242 17.8 392.83 4.03 34.7 \n", + "3 222 18.7 394.63 2.94 33.4 \n", + "4 222 18.7 396.90 5.33 36.2 \n", + "5 222 18.7 394.12 5.21 28.7 \n", + "6 311 15.2 395.60 12.43 22.9 \n", + "7 311 15.2 396.90 19.15 27.1 \n", + "8 311 15.2 386.63 29.93 16.5 \n", + "9 311 15.2 386.71 17.10 18.9 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Exercise 10a\n", + "fname = 'Boston.csv'\n", + "df = pd.read_csv(fname)\n", + "print('Columns:',len(df.columns))\n", + "print('Rows:',len(df.index))\n", + "df.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Exercise 10b/c\n", + "f, axarr = plt.subplots(4,4,figsize=(15,15))\n", + "\n", + "col_to_use = ['crim','medv','nox','black']\n", + "# crim = per capita crime rate by town\n", + "# medv = median value of owner-occupied homes in \\$1000s\n", + "# nox = nitrogen oxide concentration (parts per 10 million)\n", + "# black = 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town\n", + "c_row = 0\n", + "for row in df[col_to_use]:\n", + " c_col = 0\n", + " for col in df[col_to_use]:\n", + " var1 = df[row]\n", + " var2 = df[col]\n", + " axarr[c_row,c_col].scatter(var1,var2)\n", + " axarr[c_row,c_col].set_xlabel(col)\n", + " axarr[c_row,c_col].set_ylabel(row)\n", + " c_col += 1\n", + " c_row += 1\n", + "f.subplots_adjust(hspace=0.3, wspace=0.3)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 18. 0. 12.5 75. 21. 90. 85. 100. 25. 17.5 80. 28.\n", + " 45. 60. 95. 82.5 30. 22. 20. 40. 55. 52.5 70. 34.\n", + " 33. 35. ]\n", + "Length: 26\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5,0,'Suburbs (zn val)')" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Exercise 10d\n", + "suburb = df.zn.unique()\n", + "print(suburb)\n", + "print('Length:',len(suburb))\n", + "\n", + "#Grouping\n", + "grouped = df.groupby(df['zn'])\n", + "\n", + "#Plotting\n", + "f, axarr = plt.subplots(1,3,figsize=(15,3))\n", + "\n", + "#Crime\n", + "axarr[0].plot(grouped['crim'].mean())\n", + "axarr[0].set_title('Crime levels')\n", + "axarr[0].set_xlabel('Suburbs (zn val)')\n", + "#Tax rates\n", + "axarr[1].plot(grouped['tax'].mean())\n", + "axarr[1].set_title('Tax rates')\n", + "axarr[1].set_xlabel('Suburbs (zn val)')\n", + "#Pupil-teacher ratios\n", + "axarr[2].plot(grouped['ptratio'].mean())\n", + "axarr[2].set_title('Pupil-teacher ratios')\n", + "axarr[2].set_xlabel('Suburbs (zn val)')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Zones bound: 4\n", + "Zones not bound: 22\n" + ] + }, + { + "data": { + "text/plain": [ + "zn\n", + "0.0 False\n", + "12.5 True\n", + "17.5 True\n", + "18.0 True\n", + "20.0 False\n", + "21.0 True\n", + "22.0 True\n", + "25.0 True\n", + "28.0 True\n", + "30.0 True\n", + "33.0 True\n", + "34.0 True\n", + "35.0 True\n", + "40.0 False\n", + "45.0 True\n", + "52.5 True\n", + "55.0 True\n", + "60.0 True\n", + "70.0 True\n", + "75.0 True\n", + "80.0 True\n", + "82.5 True\n", + "85.0 True\n", + "90.0 False\n", + "95.0 True\n", + "100.0 True\n", + "Name: chas, dtype: bool" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Exercise 10e\n", + "print('Zones bound:',np.sum(grouped['chas'].mean()>0))\n", + "print('Zones not bound:',np.sum(grouped['chas'].mean()==0))\n", + "grouped['chas'].mean()==0\n" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[19.75 19.9 33. 24. 35.2 21.95 24.45 23.1 22.9 22.75 30.9 26.4\n", + " 19.4 32. 33.45 23.2 23.9 26.6 24.8 30.8 24.5 33.2 23.9 35.4\n", + " 41.7 31.6 ]\n", + "Suburb with lowest median value: 35.0 (i.e., # 12 )\n" + ] + } + ], + "source": [ + "#Exercise 10g\n", + "print(grouped['medv'].median().values)\n", + "min_id = grouped['medv'].median().values.argmin()\n", + "group_val = list(grouped.groups.keys())[min_id]\n", + "print('Suburb with lowest median value:',group_val,'(i.e., #',min_id,')')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Unnamed: 0 crim zn indus chas nox rm age dis rad \\\n", + "331 332 0.05023 35.0 6.06 0 0.4379 5.706 28.4 6.6407 1 \n", + "332 333 0.03466 35.0 6.06 0 0.4379 6.031 23.3 6.6407 1 \n", + "341 342 0.01301 35.0 1.52 0 0.4420 7.241 49.3 7.0379 1 \n", + "\n", + " tax ptratio black lstat medv \n", + "331 304 16.9 394.02 12.43 17.1 \n", + "332 304 16.9 362.25 7.83 19.4 \n", + "341 284 15.5 394.74 5.49 32.7 " + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[(df['zn'] == group_val)]" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nr. of suburbs <7 rooms: 21\n", + "Nr. of suburbs >7 rooms: 5\n", + "Nr. of suburbs >8 rooms: 0\n" + ] + } + ], + "source": [ + "print('Nr. of suburbs <7 rooms:',np.sum(grouped['rm'].mean() < 7))\n", + "print('Nr. of suburbs >7 rooms:',np.sum(grouped['rm'].mean() > 7))\n", + "print('Nr. of suburbs >8 rooms:',np.sum(grouped['rm'].mean() > 8))" + ] } ], "metadata": {