diff --git a/adrijaacharyya.ipynb b/adrijaacharyya.ipynb index 9e2543a..8968804 100644 --- a/adrijaacharyya.ipynb +++ b/adrijaacharyya.ipynb @@ -1,32 +1,5578 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "adrijaacharyya.ipynb", + "version": "0.3.2", + "provenance": [] + }, + "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" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "cells": [ + { + "metadata": { + "id": "r7xYLkhlS1P2", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### **PANDAS EXERCISE**" + ] + }, + { + "metadata": { + "id": "WzVOyB4BS8FP", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "rRPEXcUHTChI", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "\n", + "Load url = \"https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data\" to a dataframe named wine_df\n", + "\n", + "This is a wine dataset " + ] + }, + { + "metadata": { + "id": "vuEb-7VCTLdv", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "wine_df = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "N3wzNI_YTvak", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**print first five rows**" + ] + }, + { + "metadata": { + "id": "8fcf6lK3Ttzc", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 204 + }, + "outputId": "4b8bf007-a658-44fc-ea78-42fe7761a65b" + }, + "cell_type": "code", + "source": [ + "wine_df.head(5)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 1 14.23 1.71 2.43 15.6 127 2.8 3.06 .28 2.29 5.64 1.04 3.92 \\\n", + "0 1 13.20 1.78 2.14 11.2 100 2.65 2.76 0.26 1.28 4.38 1.05 3.40 \n", + "1 1 13.16 2.36 2.67 18.6 101 2.80 3.24 0.30 2.81 5.68 1.03 3.17 \n", + "2 1 14.37 1.95 2.50 16.8 113 3.85 3.49 0.24 2.18 7.80 0.86 3.45 \n", + "3 1 13.24 2.59 2.87 21.0 118 2.80 2.69 0.39 1.82 4.32 1.04 2.93 \n", + "4 1 14.20 1.76 2.45 15.2 112 3.27 3.39 0.34 1.97 6.75 1.05 2.85 \n", + "\n", + " 1065 \n", + "0 1050 \n", + "1 1185 \n", + "2 1480 \n", + "3 735 \n", + "4 1450 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 4 + } + ] + }, + { + "metadata": { + "id": "MjGH6A_JUUbS", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**assign wine_df to a different variable wine_df_copy and then delete all odd rows of wine_df_copy**" + ] + }, + { + "metadata": { + "id": "SWLMtszHUaCf", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1969 + }, + "outputId": "852fcfb6-2a34-45e3-d8c3-402560c97351" + }, + "cell_type": "code", + "source": [ + "wine_df_copy = wine_df\n", + "wine_df_copy.drop(wine_df_copy.index[1::2])" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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"Assign the columns as below:\n", + "\n", + "The attributes are (dontated by Riccardo Leardi, riclea '@' anchem.unige.it):\n", + "1) Alcohol\n", + "2) Malic acid\n", + "3) Ash\n", + "4) Alcalinity of ash\n", + "5) Magnesium\n", + "6) Total phenols\n", + "7) Flavanoids\n", + "8) Nonflavanoid phenols\n", + "9) Proanthocyanins\n", + "10)Color intensity\n", + "11)Hue\n", + "12)OD280/OD315 of diluted wines\n", + "13)Proline " + ] + }, + { + "metadata": { + "id": "HW4eZp7aVynQ", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 204 + }, + "outputId": "ba3cb549-f514-4163-9277-aa66ae84d369" + }, + "cell_type": "code", + "source": [ + "wine_df.columns = [\"Class\" , \"Alcohol\", \"Malic acid\", \"Ash\", \"Alcalinity of ash\", \"Magnesium\", \"Total phenols\", \"Flavanoids\", \"Nonflavanoid phenols\", \"Proanthocyanins\", \"Color intensity\", \"Hue\",\"OD280/OD315 of diluted wines\",\"Proline\"]\n", + "wine_df.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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ClassAlcoholMalic acidAshAlcalinity of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColor intensityHueOD280/OD315 of diluted winesProline
0113.201.782.1411.21002.652.760.261.284.381.053.401050
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" + ], + "text/plain": [ + " Class Alcohol Malic acid Ash Alcalinity of ash Magnesium \\\n", + "0 1 13.20 1.78 2.14 11.2 100 \n", + "1 1 13.16 2.36 2.67 18.6 101 \n", + "2 1 14.37 1.95 2.50 16.8 113 \n", + "3 1 13.24 2.59 2.87 21.0 118 \n", + "4 1 14.20 1.76 2.45 15.2 112 \n", + "\n", + " Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n", + "0 2.65 2.76 0.26 1.28 \n", + "1 2.80 3.24 0.30 2.81 \n", + "2 3.85 3.49 0.24 2.18 \n", + "3 2.80 2.69 0.39 1.82 \n", + "4 3.27 3.39 0.34 1.97 \n", + "\n", + " Color intensity Hue OD280/OD315 of diluted wines Proline \n", + "0 4.38 1.05 3.40 1050 \n", + "1 5.68 1.03 3.17 1185 \n", + "2 7.80 0.86 3.45 1480 \n", + "3 4.32 1.04 2.93 735 \n", + "4 6.75 1.05 2.85 1450 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 6 + } + ] + }, + { + "metadata": { + "id": "_76n9QpMUBoX", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Set the values of the first 3 rows from alcohol as NaN**" + ] + }, + { + "metadata": { + "id": "IovynKydss5U", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 204 + }, + "outputId": "2eda8ae9-b2fb-4b5c-da99-026d045e05f3" + }, + "cell_type": "code", + "source": [ + "wine_df.iloc[:3, 1] = 'NaN'\n", + "wine_df.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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ClassAlcoholMalic acidAshAlcalinity of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColor intensityHueOD280/OD315 of diluted winesProline
01NaN1.782.1411.21002.652.760.261.284.381.053.401050
11NaN2.362.6718.61012.803.240.302.815.681.033.171185
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" + ], + "text/plain": [ + " Class Alcohol Malic acid Ash Alcalinity of ash Magnesium \\\n", + "0 1 NaN 1.78 2.14 11.2 100 \n", + "1 1 NaN 2.36 2.67 18.6 101 \n", + "2 1 NaN 1.95 2.50 16.8 113 \n", + "3 1 13.24 2.59 2.87 21.0 118 \n", + "4 1 14.2 1.76 2.45 15.2 112 \n", + "\n", + " Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n", + "0 2.65 2.76 0.26 1.28 \n", + "1 2.80 3.24 0.30 2.81 \n", + "2 3.85 3.49 0.24 2.18 \n", + "3 2.80 2.69 0.39 1.82 \n", + "4 3.27 3.39 0.34 1.97 \n", + "\n", + " Color intensity Hue OD280/OD315 of diluted wines Proline \n", + "0 4.38 1.05 3.40 1050 \n", + "1 5.68 1.03 3.17 1185 \n", + "2 7.80 0.86 3.45 1480 \n", + "3 4.32 1.04 2.93 735 \n", + "4 6.75 1.05 2.85 1450 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 7 + } + ] + }, + { + "metadata": { + "id": "WDHHN95is2Q7", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Create an array of 10 random numbers uptill 10 and assign it to a variable named random**" + ] + }, + { + "metadata": { + "id": "QVmPM1PYs0NY", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "outputId": "91d6fcc7-f671-4839-d8ca-0f50e7b2115e" + }, + "cell_type": "code", + "source": [ + "random = np.random.randint(0,10,10)\n", + "random" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([9, 3, 7, 5, 8, 6, 7, 9, 2, 4])" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 8 + } + ] + }, + { + "metadata": { + "id": "069Hk4AdtfVY", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Use random numbers you generated as an index and assign NaN value to each of cell of the column alcohol**" + ] + }, + { + "metadata": { + "id": "wu166Et9s7oI", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1969 + }, + "outputId": "19a8fe5c-12b8-4825-ea31-f71870b96348" + }, + "cell_type": "code", + "source": [ + "for i in random:\n", + " wine_df.iloc[i, 1] = 'NaN'\n", + "wine_df" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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ClassAlcoholMalic acidAshAlcalinity of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColor intensityHueOD280/OD315 of diluted winesProline
01NaN1.782.1411.21002.652.760.261.284.3800001.053.401050
11NaN2.362.6718.61012.803.240.302.815.6800001.033.171185
21NaN1.952.5016.81133.853.490.242.187.8000000.863.451480
31NaN2.592.8721.01182.802.690.391.824.3200001.042.93735
41NaN1.762.4515.21123.273.390.341.976.7500001.052.851450
51NaN1.872.4514.6962.502.520.301.985.2500001.023.581290
61NaN2.152.6117.61212.602.510.311.255.0500001.063.581295
71NaN1.642.1714.0972.802.980.291.985.2000001.082.851045
81NaN1.352.2716.0982.983.150.221.857.2200001.013.551045
91NaN2.162.3018.01052.953.320.222.385.7500001.253.171510
10114.121.482.3216.8952.202.430.261.575.0000001.172.821280
11113.751.732.4116.0892.602.760.291.815.6000001.152.901320
12114.751.732.3911.4913.103.690.432.815.4000001.252.731150
13114.381.872.3812.01023.303.640.292.967.5000001.203.001547
14113.631.812.7017.21122.852.910.301.467.3000001.282.881310
15114.31.922.7220.01202.803.140.331.976.2000001.072.651280
16113.831.572.6220.01152.953.400.401.726.6000001.132.571130
17114.191.592.4816.51083.303.930.321.868.7000001.232.821680
18113.643.102.5615.21162.703.030.171.665.1000000.963.36845
19114.061.632.2816.01263.003.170.242.105.6500001.093.71780
20112.933.802.6518.61022.412.410.251.984.5000001.033.52770
21113.711.862.3616.61012.612.880.271.693.8000001.114.001035
22112.851.602.5217.8952.482.370.261.463.9300001.093.631015
23113.51.812.6120.0962.532.610.281.663.5200001.123.82845
24113.052.053.2225.01242.632.680.471.923.5800001.133.20830
25113.391.772.6216.1932.852.940.341.454.8000000.923.221195
26113.31.722.1417.0942.402.190.271.353.9500001.022.771285
27113.871.902.8019.41072.952.970.371.764.5000001.253.40915
28114.021.682.2116.0962.652.330.261.984.7000001.043.591035
29113.731.502.7022.51013.003.250.292.385.7000001.192.711285
.............................................
147313.323.242.3821.5921.930.760.451.258.4200000.551.62650
148313.083.902.3621.51131.411.390.341.149.4000000.571.33550
149313.53.122.6224.01231.401.570.221.258.6000000.591.30500
150312.792.672.4822.01121.481.360.241.2610.8000000.481.47480
151313.111.902.7525.51162.201.280.261.567.1000000.611.33425
152313.233.302.2818.5981.800.830.611.8710.5200000.561.51675
153312.581.292.1020.01031.480.580.531.407.6000000.581.55640
154313.175.192.3222.0931.740.630.611.557.9000000.601.48725
155313.844.122.3819.5891.800.830.481.569.0100000.571.64480
156312.453.032.6427.0971.900.580.631.147.5000000.671.73880
157314.341.682.7025.0982.801.310.532.7013.0000000.571.96660
158313.481.672.6422.5892.601.100.522.2911.7500000.571.78620
159312.363.832.3821.0882.300.920.501.047.6500000.561.58520
160313.693.262.5420.01071.830.560.500.805.8800000.961.82680
161312.853.272.5822.01061.650.600.600.965.5800000.872.11570
162312.963.452.3518.51061.390.700.400.945.2800000.681.75675
163313.782.762.3022.0901.350.680.411.039.5800000.701.68615
164313.734.362.2622.5881.280.470.521.156.6200000.781.75520
165313.453.702.6023.01111.700.920.431.4610.6800000.851.56695
166312.823.372.3019.5881.480.660.400.9710.2600000.721.75685
167313.582.582.6924.51051.550.840.391.548.6600000.741.80750
168313.44.602.8625.01121.980.960.271.118.5000000.671.92630
169312.23.032.3219.0961.250.490.400.735.5000000.661.83510
170312.772.392.2819.5861.390.510.480.649.8999990.571.63470
171314.162.512.4820.0911.680.700.441.249.7000000.621.71660
172313.715.652.4520.5951.680.610.521.067.7000000.641.74740
173313.43.912.4823.01021.800.750.431.417.3000000.701.56750
174313.274.282.2620.01201.590.690.431.3510.2000000.591.56835
175313.172.592.3720.01201.650.680.531.469.3000000.601.62840
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3 13.58 2.58 2.69 24.5 105 \n", + "168 3 13.4 4.60 2.86 25.0 112 \n", + "169 3 12.2 3.03 2.32 19.0 96 \n", + "170 3 12.77 2.39 2.28 19.5 86 \n", + "171 3 14.16 2.51 2.48 20.0 91 \n", + "172 3 13.71 5.65 2.45 20.5 95 \n", + "173 3 13.4 3.91 2.48 23.0 102 \n", + "174 3 13.27 4.28 2.26 20.0 120 \n", + "175 3 13.17 2.59 2.37 20.0 120 \n", + "176 3 14.13 4.10 2.74 24.5 96 \n", + "\n", + " Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n", + "0 2.65 2.76 0.26 1.28 \n", + "1 2.80 3.24 0.30 2.81 \n", + "2 3.85 3.49 0.24 2.18 \n", + "3 2.80 2.69 0.39 1.82 \n", + "4 3.27 3.39 0.34 1.97 \n", + "5 2.50 2.52 0.30 1.98 \n", + "6 2.60 2.51 0.31 1.25 \n", + "7 2.80 2.98 0.29 1.98 \n", + "8 2.98 3.15 0.22 1.85 \n", + "9 2.95 3.32 0.22 2.38 \n", + "10 2.20 2.43 0.26 1.57 \n", + "11 2.60 2.76 0.29 1.81 \n", + "12 3.10 3.69 0.43 2.81 \n", + "13 3.30 3.64 0.29 2.96 \n", + "14 2.85 2.91 0.30 1.46 \n", + "15 2.80 3.14 0.33 1.97 \n", + "16 2.95 3.40 0.40 1.72 \n", + "17 3.30 3.93 0.32 1.86 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0.43 1.46 \n", + "166 1.48 0.66 0.40 0.97 \n", + "167 1.55 0.84 0.39 1.54 \n", + "168 1.98 0.96 0.27 1.11 \n", + "169 1.25 0.49 0.40 0.73 \n", + "170 1.39 0.51 0.48 0.64 \n", + "171 1.68 0.70 0.44 1.24 \n", + "172 1.68 0.61 0.52 1.06 \n", + "173 1.80 0.75 0.43 1.41 \n", + "174 1.59 0.69 0.43 1.35 \n", + "175 1.65 0.68 0.53 1.46 \n", + "176 2.05 0.76 0.56 1.35 \n", + "\n", + " Color intensity Hue OD280/OD315 of diluted wines Proline \n", + "0 4.380000 1.05 3.40 1050 \n", + "1 5.680000 1.03 3.17 1185 \n", + "2 7.800000 0.86 3.45 1480 \n", + "3 4.320000 1.04 2.93 735 \n", + "4 6.750000 1.05 2.85 1450 \n", + "5 5.250000 1.02 3.58 1290 \n", + "6 5.050000 1.06 3.58 1295 \n", + "7 5.200000 1.08 2.85 1045 \n", + "8 7.220000 1.01 3.55 1045 \n", + "9 5.750000 1.25 3.17 1510 \n", + "10 5.000000 1.17 2.82 1280 \n", + "11 5.600000 1.15 2.90 1320 \n", + "12 5.400000 1.25 2.73 1150 \n", + "13 7.500000 1.20 3.00 1547 \n", + "14 7.300000 1.28 2.88 1310 \n", + "15 6.200000 1.07 2.65 1280 \n", + "16 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ClassAlcoholMalic acidAshAlcalinity of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColor intensityHueOD280/OD315 of diluted winesProline
01NaN1.782.1411.21002.652.760.261.284.3800001.053.401050
11NaN2.362.6718.61012.803.240.302.815.6800001.033.171185
21NaN1.952.5016.81133.853.490.242.187.8000000.863.451480
31NaN2.592.8721.01182.802.690.391.824.3200001.042.93735
41NaN1.762.4515.21123.273.390.341.976.7500001.052.851450
51NaN1.872.4514.6962.502.520.301.985.2500001.023.581290
61NaN2.152.6117.61212.602.510.311.255.0500001.063.581295
71NaN1.642.1714.0972.802.980.291.985.2000001.082.851045
81NaN1.352.2716.0982.983.150.221.857.2200001.013.551045
91NaN2.162.3018.01052.953.320.222.385.7500001.253.171510
10114.121.482.3216.8952.202.430.261.575.0000001.172.821280
11113.751.732.4116.0892.602.760.291.815.6000001.152.901320
12114.751.732.3911.4913.103.690.432.815.4000001.252.731150
13114.381.872.3812.01023.303.640.292.967.5000001.203.001547
14113.631.812.7017.21122.852.910.301.467.3000001.282.881310
15114.31.922.7220.01202.803.140.331.976.2000001.072.651280
16113.831.572.6220.01152.953.400.401.726.6000001.132.571130
17114.191.592.4816.51083.303.930.321.868.7000001.232.821680
18113.643.102.5615.21162.703.030.171.665.1000000.963.36845
19114.061.632.2816.01263.003.170.242.105.6500001.093.71780
20112.933.802.6518.61022.412.410.251.984.5000001.033.52770
21113.711.862.3616.61012.612.880.271.693.8000001.114.001035
22112.851.602.5217.8952.482.370.261.463.9300001.093.631015
23113.51.812.6120.0962.532.610.281.663.5200001.123.82845
24113.052.053.2225.01242.632.680.471.923.5800001.133.20830
25113.391.772.6216.1932.852.940.341.454.8000000.923.221195
26113.31.722.1417.0942.402.190.271.353.9500001.022.771285
27113.871.902.8019.41072.952.970.371.764.5000001.253.40915
28114.021.682.2116.0962.652.330.261.984.7000001.043.591035
29113.731.502.7022.51013.003.250.292.385.7000001.192.711285
.............................................
147313.323.242.3821.5921.930.760.451.258.4200000.551.62650
148313.083.902.3621.51131.411.390.341.149.4000000.571.33550
149313.53.122.6224.01231.401.570.221.258.6000000.591.30500
150312.792.672.4822.01121.481.360.241.2610.8000000.481.47480
151313.111.902.7525.51162.201.280.261.567.1000000.611.33425
152313.233.302.2818.5981.800.830.611.8710.5200000.561.51675
153312.581.292.1020.01031.480.580.531.407.6000000.581.55640
154313.175.192.3222.0931.740.630.611.557.9000000.601.48725
155313.844.122.3819.5891.800.830.481.569.0100000.571.64480
156312.453.032.6427.0971.900.580.631.147.5000000.671.73880
157314.341.682.7025.0982.801.310.532.7013.0000000.571.96660
158313.481.672.6422.5892.601.100.522.2911.7500000.571.78620
159312.363.832.3821.0882.300.920.501.047.6500000.561.58520
160313.693.262.5420.01071.830.560.500.805.8800000.961.82680
161312.853.272.5822.01061.650.600.600.965.5800000.872.11570
162312.963.452.3518.51061.390.700.400.945.2800000.681.75675
163313.782.762.3022.0901.350.680.411.039.5800000.701.68615
164313.734.362.2622.5881.280.470.521.156.6200000.781.75520
165313.453.702.6023.01111.700.920.431.4610.6800000.851.56695
166312.823.372.3019.5881.480.660.400.9710.2600000.721.75685
167313.582.582.6924.51051.550.840.391.548.6600000.741.80750
168313.44.602.8625.01121.980.960.271.118.5000000.671.92630
169312.23.032.3219.0961.250.490.400.735.5000000.661.83510
170312.772.392.2819.5861.390.510.480.649.8999990.571.63470
171314.162.512.4820.0911.680.700.441.249.7000000.621.71660
172313.715.652.4520.5951.680.610.521.067.7000000.641.74740
173313.43.912.4823.01021.800.750.431.417.3000000.701.56750
174313.274.282.2620.01201.590.690.431.3510.2000000.591.56835
175313.172.592.3720.01201.650.680.531.469.3000000.601.62840
176314.134.102.7424.5962.050.760.561.359.2000000.611.60560
\n", + "

177 rows × 14 columns

\n", + "
" + ], + "text/plain": [ + " Class Alcohol Malic acid Ash Alcalinity of ash Magnesium \\\n", + "0 1 NaN 1.78 2.14 11.2 100 \n", + "1 1 NaN 2.36 2.67 18.6 101 \n", + "2 1 NaN 1.95 2.50 16.8 113 \n", + "3 1 NaN 2.59 2.87 21.0 118 \n", + "4 1 NaN 1.76 2.45 15.2 112 \n", + "5 1 NaN 1.87 2.45 14.6 96 \n", + "6 1 NaN 2.15 2.61 17.6 121 \n", + "7 1 NaN 1.64 2.17 14.0 97 \n", + "8 1 NaN 1.35 2.27 16.0 98 \n", + "9 1 NaN 2.16 2.30 18.0 105 \n", + "10 1 14.12 1.48 2.32 16.8 95 \n", + "11 1 13.75 1.73 2.41 16.0 89 \n", + "12 1 14.75 1.73 2.39 11.4 91 \n", + "13 1 14.38 1.87 2.38 12.0 102 \n", + "14 1 13.63 1.81 2.70 17.2 112 \n", + "15 1 14.3 1.92 2.72 20.0 120 \n", + "16 1 13.83 1.57 2.62 20.0 115 \n", + "17 1 14.19 1.59 2.48 16.5 108 \n", + "18 1 13.64 3.10 2.56 15.2 116 \n", + "19 1 14.06 1.63 2.28 16.0 126 \n", + "20 1 12.93 3.80 2.65 18.6 102 \n", + "21 1 13.71 1.86 2.36 16.6 101 \n", + "22 1 12.85 1.60 2.52 17.8 95 \n", + "23 1 13.5 1.81 2.61 20.0 96 \n", + "24 1 13.05 2.05 3.22 25.0 124 \n", + "25 1 13.39 1.77 2.62 16.1 93 \n", + "26 1 13.3 1.72 2.14 17.0 94 \n", + "27 1 13.87 1.90 2.80 19.4 107 \n", + "28 1 14.02 1.68 2.21 16.0 96 \n", + "29 1 13.73 1.50 2.70 22.5 101 \n", + ".. ... ... ... ... ... ... \n", + "147 3 13.32 3.24 2.38 21.5 92 \n", + "148 3 13.08 3.90 2.36 21.5 113 \n", + "149 3 13.5 3.12 2.62 24.0 123 \n", + "150 3 12.79 2.67 2.48 22.0 112 \n", + "151 3 13.11 1.90 2.75 25.5 116 \n", + "152 3 13.23 3.30 2.28 18.5 98 \n", + "153 3 12.58 1.29 2.10 20.0 103 \n", + "154 3 13.17 5.19 2.32 22.0 93 \n", + "155 3 13.84 4.12 2.38 19.5 89 \n", + "156 3 12.45 3.03 2.64 27.0 97 \n", + "157 3 14.34 1.68 2.70 25.0 98 \n", + "158 3 13.48 1.67 2.64 22.5 89 \n", + "159 3 12.36 3.83 2.38 21.0 88 \n", + "160 3 13.69 3.26 2.54 20.0 107 \n", + "161 3 12.85 3.27 2.58 22.0 106 \n", + "162 3 12.96 3.45 2.35 18.5 106 \n", + "163 3 13.78 2.76 2.30 22.0 90 \n", + "164 3 13.73 4.36 2.26 22.5 88 \n", + "165 3 13.45 3.70 2.60 23.0 111 \n", + "166 3 12.82 3.37 2.30 19.5 88 \n", + "167 3 13.58 2.58 2.69 24.5 105 \n", + "168 3 13.4 4.60 2.86 25.0 112 \n", + "169 3 12.2 3.03 2.32 19.0 96 \n", + "170 3 12.77 2.39 2.28 19.5 86 \n", + "171 3 14.16 2.51 2.48 20.0 91 \n", + "172 3 13.71 5.65 2.45 20.5 95 \n", + "173 3 13.4 3.91 2.48 23.0 102 \n", + "174 3 13.27 4.28 2.26 20.0 120 \n", + "175 3 13.17 2.59 2.37 20.0 120 \n", + "176 3 14.13 4.10 2.74 24.5 96 \n", + "\n", + " Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n", + "0 2.65 2.76 0.26 1.28 \n", + "1 2.80 3.24 0.30 2.81 \n", + "2 3.85 3.49 0.24 2.18 \n", + "3 2.80 2.69 0.39 1.82 \n", + "4 3.27 3.39 0.34 1.97 \n", + "5 2.50 2.52 0.30 1.98 \n", + "6 2.60 2.51 0.31 1.25 \n", + "7 2.80 2.98 0.29 1.98 \n", + "8 2.98 3.15 0.22 1.85 \n", + "9 2.95 3.32 0.22 2.38 \n", + "10 2.20 2.43 0.26 1.57 \n", + "11 2.60 2.76 0.29 1.81 \n", + "12 3.10 3.69 0.43 2.81 \n", + "13 3.30 3.64 0.29 2.96 \n", + "14 2.85 2.91 0.30 1.46 \n", + "15 2.80 3.14 0.33 1.97 \n", + "16 2.95 3.40 0.40 1.72 \n", + "17 3.30 3.93 0.32 1.86 \n", + "18 2.70 3.03 0.17 1.66 \n", + "19 3.00 3.17 0.24 2.10 \n", + "20 2.41 2.41 0.25 1.98 \n", + "21 2.61 2.88 0.27 1.69 \n", + "22 2.48 2.37 0.26 1.46 \n", + "23 2.53 2.61 0.28 1.66 \n", + "24 2.63 2.68 0.47 1.92 \n", + "25 2.85 2.94 0.34 1.45 \n", + "26 2.40 2.19 0.27 1.35 \n", + "27 2.95 2.97 0.37 1.76 \n", + "28 2.65 2.33 0.26 1.98 \n", + "29 3.00 3.25 0.29 2.38 \n", + ".. ... ... ... ... \n", + "147 1.93 0.76 0.45 1.25 \n", + "148 1.41 1.39 0.34 1.14 \n", + "149 1.40 1.57 0.22 1.25 \n", + "150 1.48 1.36 0.24 1.26 \n", + "151 2.20 1.28 0.26 1.56 \n", + "152 1.80 0.83 0.61 1.87 \n", + "153 1.48 0.58 0.53 1.40 \n", + "154 1.74 0.63 0.61 1.55 \n", + "155 1.80 0.83 0.48 1.56 \n", + "156 1.90 0.58 0.63 1.14 \n", + "157 2.80 1.31 0.53 2.70 \n", + "158 2.60 1.10 0.52 2.29 \n", + "159 2.30 0.92 0.50 1.04 \n", + "160 1.83 0.56 0.50 0.80 \n", + "161 1.65 0.60 0.60 0.96 \n", + "162 1.39 0.70 0.40 0.94 \n", + "163 1.35 0.68 0.41 1.03 \n", + "164 1.28 0.47 0.52 1.15 \n", + "165 1.70 0.92 0.43 1.46 \n", + "166 1.48 0.66 0.40 0.97 \n", + "167 1.55 0.84 0.39 1.54 \n", + "168 1.98 0.96 0.27 1.11 \n", + "169 1.25 0.49 0.40 0.73 \n", + "170 1.39 0.51 0.48 0.64 \n", + "171 1.68 0.70 0.44 1.24 \n", + "172 1.68 0.61 0.52 1.06 \n", + "173 1.80 0.75 0.43 1.41 \n", + "174 1.59 0.69 0.43 1.35 \n", + "175 1.65 0.68 0.53 1.46 \n", + "176 2.05 0.76 0.56 1.35 \n", + "\n", + " Color intensity Hue OD280/OD315 of diluted wines Proline \n", + "0 4.380000 1.05 3.40 1050 \n", + "1 5.680000 1.03 3.17 1185 \n", + "2 7.800000 0.86 3.45 1480 \n", + "3 4.320000 1.04 2.93 735 \n", + "4 6.750000 1.05 2.85 1450 \n", + "5 5.250000 1.02 3.58 1290 \n", + "6 5.050000 1.06 3.58 1295 \n", + "7 5.200000 1.08 2.85 1045 \n", + "8 7.220000 1.01 3.55 1045 \n", + "9 5.750000 1.25 3.17 1510 \n", + "10 5.000000 1.17 2.82 1280 \n", + "11 5.600000 1.15 2.90 1320 \n", + "12 5.400000 1.25 2.73 1150 \n", + "13 7.500000 1.20 3.00 1547 \n", + "14 7.300000 1.28 2.88 1310 \n", + "15 6.200000 1.07 2.65 1280 \n", + "16 6.600000 1.13 2.57 1130 \n", + "17 8.700000 1.23 2.82 1680 \n", + "18 5.100000 0.96 3.36 845 \n", + "19 5.650000 1.09 3.71 780 \n", + "20 4.500000 1.03 3.52 770 \n", + "21 3.800000 1.11 4.00 1035 \n", + "22 3.930000 1.09 3.63 1015 \n", + "23 3.520000 1.12 3.82 845 \n", + "24 3.580000 1.13 3.20 830 \n", + "25 4.800000 0.92 3.22 1195 \n", + "26 3.950000 1.02 2.77 1285 \n", + "27 4.500000 1.25 3.40 915 \n", + "28 4.700000 1.04 3.59 1035 \n", + "29 5.700000 1.19 2.71 1285 \n", + ".. ... ... ... ... \n", + "147 8.420000 0.55 1.62 650 \n", + "148 9.400000 0.57 1.33 550 \n", + "149 8.600000 0.59 1.30 500 \n", + "150 10.800000 0.48 1.47 480 \n", + "151 7.100000 0.61 1.33 425 \n", + "152 10.520000 0.56 1.51 675 \n", + "153 7.600000 0.58 1.55 640 \n", + "154 7.900000 0.60 1.48 725 \n", + "155 9.010000 0.57 1.64 480 \n", + "156 7.500000 0.67 1.73 880 \n", + "157 13.000000 0.57 1.96 660 \n", + "158 11.750000 0.57 1.78 620 \n", + "159 7.650000 0.56 1.58 520 \n", + "160 5.880000 0.96 1.82 680 \n", + "161 5.580000 0.87 2.11 570 \n", + "162 5.280000 0.68 1.75 675 \n", + "163 9.580000 0.70 1.68 615 \n", + "164 6.620000 0.78 1.75 520 \n", + "165 10.680000 0.85 1.56 695 \n", + "166 10.260000 0.72 1.75 685 \n", + "167 8.660000 0.74 1.80 750 \n", + "168 8.500000 0.67 1.92 630 \n", + "169 5.500000 0.66 1.83 510 \n", + "170 9.899999 0.57 1.63 470 \n", + "171 9.700000 0.62 1.71 660 \n", + "172 7.700000 0.64 1.74 740 \n", + "173 7.300000 0.70 1.56 750 \n", + "174 10.200000 0.59 1.56 835 \n", + "175 9.300000 0.60 1.62 840 \n", + "176 9.200000 0.61 1.60 560 \n", + "\n", + "[177 rows x 14 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 11 + } + ] + }, + { + "metadata": { + "id": "Mg_AGs3sWfr6", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "BONUS: Play with the data set below\n", + "**bold text**" + ] + }, + { + "metadata": { + "id": "HTTJ32FBazDL", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 669 + }, + "outputId": "0a40ad21-5d40-43f5-9a1e-e88fa3adf78e" + }, + "cell_type": "code", + "source": [ + "wine_df[(wine_df['Hue']>1.0) & (wine_df['Flavanoids']>3.0)]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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ClassAlcoholMalic acidAshAlcalinity of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColor intensityHueOD280/OD315 of diluted winesProline
11NaN2.362.6718.61012.803.240.302.815.681.033.171185
41NaN1.762.4515.21123.273.390.341.976.751.052.851450
81NaN1.352.2716.0982.983.150.221.857.221.013.551045
91NaN2.162.3018.01052.953.320.222.385.751.253.171510
12114.751.732.3911.4913.103.690.432.815.401.252.731150
13114.381.872.3812.01023.303.640.292.967.501.203.001547
15114.31.922.7220.01202.803.140.331.976.201.072.651280
16113.831.572.6220.01152.953.400.401.726.601.132.571130
17114.191.592.4816.51083.303.930.321.868.701.232.821680
19114.061.632.2816.01263.003.170.242.105.651.093.71780
29113.731.502.7022.51013.003.250.292.385.701.192.711285
30113.581.662.3619.11062.863.190.221.956.901.092.881515
45114.383.592.2816.01023.253.170.272.194.901.043.441065
48113.941.732.2717.41082.883.540.322.088.901.123.101260
49113.051.732.0412.4922.723.270.172.917.201.122.911150
51113.821.752.4214.01113.883.740.321.877.051.013.261190
56113.291.972.6816.81023.003.230.311.666.001.072.841270
62212.371.132.1619.0873.503.100.191.874.451.222.87420
65213.111.011.7015.0782.983.180.262.285.301.123.18502
97212.371.072.1018.5883.523.750.241.954.501.042.77660
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" + ], + "text/plain": [ + " Class Alcohol Malic acid Ash Alcalinity of ash Magnesium \\\n", + "1 1 NaN 2.36 2.67 18.6 101 \n", + "4 1 NaN 1.76 2.45 15.2 112 \n", + "8 1 NaN 1.35 2.27 16.0 98 \n", + "9 1 NaN 2.16 2.30 18.0 105 \n", + "12 1 14.75 1.73 2.39 11.4 91 \n", + "13 1 14.38 1.87 2.38 12.0 102 \n", + "15 1 14.3 1.92 2.72 20.0 120 \n", + "16 1 13.83 1.57 2.62 20.0 115 \n", + "17 1 14.19 1.59 2.48 16.5 108 \n", + "19 1 14.06 1.63 2.28 16.0 126 \n", + "29 1 13.73 1.50 2.70 22.5 101 \n", + "30 1 13.58 1.66 2.36 19.1 106 \n", + "45 1 14.38 3.59 2.28 16.0 102 \n", + "48 1 13.94 1.73 2.27 17.4 108 \n", + "49 1 13.05 1.73 2.04 12.4 92 \n", + "51 1 13.82 1.75 2.42 14.0 111 \n", + "56 1 13.29 1.97 2.68 16.8 102 \n", + "62 2 12.37 1.13 2.16 19.0 87 \n", + "65 2 13.11 1.01 1.70 15.0 78 \n", + "97 2 12.37 1.07 2.10 18.5 88 \n", + "\n", + " Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n", + "1 2.80 3.24 0.30 2.81 \n", + "4 3.27 3.39 0.34 1.97 \n", + "8 2.98 3.15 0.22 1.85 \n", + "9 2.95 3.32 0.22 2.38 \n", + "12 3.10 3.69 0.43 2.81 \n", + "13 3.30 3.64 0.29 2.96 \n", + "15 2.80 3.14 0.33 1.97 \n", + "16 2.95 3.40 0.40 1.72 \n", + "17 3.30 3.93 0.32 1.86 \n", + "19 3.00 3.17 0.24 2.10 \n", + "29 3.00 3.25 0.29 2.38 \n", + "30 2.86 3.19 0.22 1.95 \n", + "45 3.25 3.17 0.27 2.19 \n", + "48 2.88 3.54 0.32 2.08 \n", + "49 2.72 3.27 0.17 2.91 \n", + "51 3.88 3.74 0.32 1.87 \n", + "56 3.00 3.23 0.31 1.66 \n", + "62 3.50 3.10 0.19 1.87 \n", + "65 2.98 3.18 0.26 2.28 \n", + "97 3.52 3.75 0.24 1.95 \n", + "\n", + " Color intensity Hue OD280/OD315 of diluted wines Proline \n", + "1 5.68 1.03 3.17 1185 \n", + "4 6.75 1.05 2.85 1450 \n", + "8 7.22 1.01 3.55 1045 \n", + "9 5.75 1.25 3.17 1510 \n", + "12 5.40 1.25 2.73 1150 \n", + "13 7.50 1.20 3.00 1547 \n", + "15 6.20 1.07 2.65 1280 \n", + "16 6.60 1.13 2.57 1130 \n", + "17 8.70 1.23 2.82 1680 \n", + "19 5.65 1.09 3.71 780 \n", + "29 5.70 1.19 2.71 1285 \n", + "30 6.90 1.09 2.88 1515 \n", + "45 4.90 1.04 3.44 1065 \n", + "48 8.90 1.12 3.10 1260 \n", + "49 7.20 1.12 2.91 1150 \n", + "51 7.05 1.01 3.26 1190 \n", + "56 6.00 1.07 2.84 1270 \n", + "62 4.45 1.22 2.87 420 \n", + "65 5.30 1.12 3.18 502 \n", + "97 4.50 1.04 2.77 660 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 26 + } + ] + }, + { + "metadata": { + "id": "X_WmUl5zWhNj", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 204 + }, + "outputId": "421abbe7-8a49-44c0-fe26-2bfce9aa7cdc" + }, + "cell_type": "code", + "source": [ + "alcohol = wine_df['Alcohol'].unique()\n", + "print(alcohol)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "['NaN' 14.12 13.75 14.75 14.38 13.63 14.3 13.83 14.19 13.64 14.06 12.93\n", + " 13.71 12.85 13.5 13.05 13.39 13.3 13.87 14.02 13.73 13.58 13.68 13.76\n", + " 13.51 13.48 13.28 13.07 14.22 13.56 13.41 13.88 13.24 14.21 13.9 14.1\n", + " 13.94 13.82 13.77 13.74 13.29 13.72 12.37 12.33 12.64 13.67 12.17 13.11\n", + " 13.34 12.21 12.29 13.86 13.49 12.99 11.96 11.66 13.03 11.84 12.7 12.0\n", + " 12.72 12.08 12.67 12.16 11.65 11.64 12.69 11.62 12.47 11.81 12.6 12.34\n", + " 11.82 12.51 12.42 12.25 12.22 11.61 11.46 12.52 11.76 11.41 11.03 12.77\n", + " 11.45 11.56 11.87 12.07 12.43 11.79 12.04 12.86 12.88 12.81 12.53 12.84\n", + " 13.36 13.52 13.62 13.16 12.87 13.32 13.08 12.79 13.23 12.58 13.17 13.84\n", + " 12.45 14.34 12.36 13.69 12.96 13.78 13.45 12.82 13.4 12.2 14.16 13.27\n", + " 14.13]\n" + ], + "name": "stdout" + } + ] + }, + { + "metadata": { + "id": "jTZ6rOptYoDV", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 204 + }, + "outputId": "e83679c0-0f51-4d94-e01e-ba5493718d4f" + }, + "cell_type": "code", + "source": [ + "nan = wine_df[wine_df['Alcohol']==alcohol[0]]\n", + "nan.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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ClassAlcoholMalic acidAshAlcalinity of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColor intensityHueOD280/OD315 of diluted winesProline
01NaN1.782.1411.21002.652.760.261.284.381.053.401050
11NaN2.362.6718.61012.803.240.302.815.681.033.171185
21NaN1.952.5016.81133.853.490.242.187.800.863.451480
31NaN2.592.8721.01182.802.690.391.824.321.042.93735
41NaN1.762.4515.21123.273.390.341.976.751.052.851450
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" + ], + "text/plain": [ + " Class Alcohol Malic acid Ash Alcalinity of ash Magnesium \\\n", + "0 1 NaN 1.78 2.14 11.2 100 \n", + "1 1 NaN 2.36 2.67 18.6 101 \n", + "2 1 NaN 1.95 2.50 16.8 113 \n", + "3 1 NaN 2.59 2.87 21.0 118 \n", + "4 1 NaN 1.76 2.45 15.2 112 \n", + "\n", + " Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n", + "0 2.65 2.76 0.26 1.28 \n", + "1 2.80 3.24 0.30 2.81 \n", + "2 3.85 3.49 0.24 2.18 \n", + "3 2.80 2.69 0.39 1.82 \n", + "4 3.27 3.39 0.34 1.97 \n", + "\n", + " Color intensity Hue OD280/OD315 of diluted wines Proline \n", + "0 4.38 1.05 3.40 1050 \n", + "1 5.68 1.03 3.17 1185 \n", + "2 7.80 0.86 3.45 1480 \n", + "3 4.32 1.04 2.93 735 \n", + "4 6.75 1.05 2.85 1450 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 18 + } + ] + }, + { + "metadata": { + "id": "kFsiA-BwZWQt", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "outputId": "faf602da-2604-42c0-8e23-47eee25c1cd1" + }, + "cell_type": "code", + "source": [ + "nan.describe()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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ClassMalic acidAshAlcalinity of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColor intensityHueOD280/OD315 of diluted winesProline
count10.010.00000010.00000010.00000010.00000010.00000010.00000010.00000010.00000010.00000010.00000010.00000010.000000
mean1.01.9610002.44300016.300000106.1000002.9200003.0050000.2870001.9500005.7400001.0450003.2530001208.500000
std0.00.3633320.2313752.7426679.1948050.3925420.3650040.0539650.4649251.1705460.0941920.299149245.040246
min1.01.3500002.14000011.20000096.0000002.5000002.5100000.2200001.2500004.3200000.8600002.850000735.000000
25%1.01.7650002.27750014.75000098.5000002.6875002.7075000.2450001.8275005.0875001.0225002.9900001046.250000
50%1.01.9100002.45000016.400000103.0000002.8000003.0650000.2950001.9750005.4650001.0450003.2850001237.500000
75%1.02.1575002.58250017.900000112.7500002.9725003.3000000.3075002.1300006.5000001.0575003.5250001411.250000
max1.02.5900002.87000021.000000121.0000003.8500003.4900000.3900002.8100007.8000001.2500003.5800001510.000000
\n", + "
" + ], + "text/plain": [ + " Class Malic acid Ash Alcalinity of ash Magnesium \\\n", + "count 10.0 10.000000 10.000000 10.000000 10.000000 \n", + "mean 1.0 1.961000 2.443000 16.300000 106.100000 \n", + "std 0.0 0.363332 0.231375 2.742667 9.194805 \n", + "min 1.0 1.350000 2.140000 11.200000 96.000000 \n", + "25% 1.0 1.765000 2.277500 14.750000 98.500000 \n", + "50% 1.0 1.910000 2.450000 16.400000 103.000000 \n", + "75% 1.0 2.157500 2.582500 17.900000 112.750000 \n", + "max 1.0 2.590000 2.870000 21.000000 121.000000 \n", + "\n", + " Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n", + "count 10.000000 10.000000 10.000000 10.000000 \n", + "mean 2.920000 3.005000 0.287000 1.950000 \n", + "std 0.392542 0.365004 0.053965 0.464925 \n", + "min 2.500000 2.510000 0.220000 1.250000 \n", + "25% 2.687500 2.707500 0.245000 1.827500 \n", + "50% 2.800000 3.065000 0.295000 1.975000 \n", + "75% 2.972500 3.300000 0.307500 2.130000 \n", + "max 3.850000 3.490000 0.390000 2.810000 \n", + "\n", + " Color intensity Hue OD280/OD315 of diluted wines Proline \n", + "count 10.000000 10.000000 10.000000 10.000000 \n", + "mean 5.740000 1.045000 3.253000 1208.500000 \n", + "std 1.170546 0.094192 0.299149 245.040246 \n", + "min 4.320000 0.860000 2.850000 735.000000 \n", + "25% 5.087500 1.022500 2.990000 1046.250000 \n", + "50% 5.465000 1.045000 3.285000 1237.500000 \n", + "75% 6.500000 1.057500 3.525000 1411.250000 \n", + "max 7.800000 1.250000 3.580000 1510.000000 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 19 + } + ] + }, + { + "metadata": { + "id": "pyTnZNAbZftA", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "2GULOlkHZnwQ", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 415 + }, + "outputId": "4136a299-eea3-4919-b7a2-7e86d7a2ba45" + }, + "cell_type": "code", + "source": [ + "plt.hist(nan['Total phenols'])" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(array([2., 1., 3., 2., 0., 1., 0., 0., 0., 1.]),\n", + " array([2.5 , 2.635, 2.77 , 2.905, 3.04 , 3.175, 3.31 , 3.445, 3.58 ,\n", + " 3.715, 3.85 ]),\n", + " )" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 21 + }, + { + "output_type": "display_data", + "data": { + "image/png": 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