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September 30, 2020 14:15
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{ | |
"cells": [ | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "import matplotlib.pyplot as plt", | |
"execution_count": 5, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "x=[-3,5,7]", | |
"execution_count": 6, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "y=[10,2,5]", | |
"execution_count": 7, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "markdown", | |
"source": "fig = plt.figure (figsize=(10,4))\nplt.plot(x,y)\nplt.xlim(-4, 10)\nplt.ylim(0,12)\nplt.xlabel('X Axis')\nplt.ylabel('y Axis')\nplt.title('Line Plot')\nplt.suptitle(\"Sales Comparison\", size=30, y=1.24)" | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt", | |
"execution_count": 45, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig=plt.figure(figsize=(20,10))", | |
"execution_count": 31, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 1440x720 with 0 Axes>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.plot(x,y)", | |
"execution_count": 27, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 27, | |
"data": { | |
"text/plain": "[<matplotlib.lines.Line2D at 0x21ddd5bf0a0>]" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.xlim(-4,10)", | |
"execution_count": 33, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 33, | |
"data": { | |
"text/plain": "(-4.0, 10.0)" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.ylim(0,18)", | |
"execution_count": 34, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 34, | |
"data": { | |
"text/plain": "(0.0, 18.0)" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig=plt.figure(figsize=(15,3))\nplt.plot(x,y)\nplt.xlim(-5,10)\nplt.ylim(0,12)\nplt.xlabel(\"X Axis\")\nplt.ylabel(\"Y Axis\")\nplt.title(\"Line Plot\")\nplt.suptitle(\"Sales Comparison\", size=20, y=1.03)\n", | |
"execution_count": 37, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 37, | |
"data": { | |
"text/plain": "Text(0.5, 1.03, 'Sales Comparison')" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 1080x216 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig.get_size_inches()", | |
"execution_count": 39, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 39, | |
"data": { | |
"text/plain": "array([15., 3.])" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig.set_size_inches(12,2)", | |
"execution_count": 40, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig", | |
"execution_count": 42, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 42, | |
"data": { | |
"text/plain": "<Figure size 864x144 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig,ax = plt.subplots(1,1)", | |
"execution_count": 43, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAANQklEQVR4nO3cX2id933H8fdndg3rnzWhUUtnp9QbTlNfNCNR0zDWLV3ZamcXptCLpKVhoWDCmtLLhMHai9ysF4NSktSYYEJv6os1tO5IGwajzSBLFxlSJ05I0VwWay7EaUsHKSw4+e7inE1Cka3H5xxJjr7vFwj0nOcn6asf8tuPj3WeVBWSpO3vd7Z6AEnS5jD4ktSEwZekJgy+JDVh8CWpCYMvSU2sG/wkx5K8nOS5i5xPkm8kWUxyKsmNsx9TkjStIVf4jwAHLnH+ILBv/HYY+Ob0Y0mSZm3d4FfVE8CvLrHkEPCtGnkKuCrJ+2c1oCRpNnbO4HPsBs6uOF4aP/aL1QuTHGb0rwDe8Y533HT99dfP4MtLUh8nT558parmJvnYWQQ/azy25v0aquoocBRgfn6+FhYWZvDlJamPJP856cfO4rd0loBrVxzvAc7N4PNKkmZoFsE/Adw5/m2dW4DfVNWbns6RJG2tdZ/SSfJt4FbgmiRLwFeBtwFU1RHgMeA2YBH4LXDXRg0rSZrcusGvqjvWOV/AF2c2kSRpQ/hKW0lqwuBLUhMGX5KaMPiS1ITBl6QmDL4kNWHwJakJgy9JTRh8SWrC4EtSEwZfkpow+JLUhMGXpCYMviQ1YfAlqQmDL0lNGHxJasLgS1ITBl+SmjD4ktSEwZekJgy+JDVh8CWpCYMvSU0YfElqwuBLUhMGX5KaMPiS1ITBl6QmDL4kNWHwJakJgy9JTRh8SWrC4EtSEwZfkpoYFPwkB5K8mGQxyX1rnH93ku8n+WmS00numv2okqRprBv8JDuAB4GDwH7gjiT7Vy37IvB8Vd0A3Ar8Q5JdM55VkjSFIVf4NwOLVXWmql4DjgOHVq0p4F1JArwT+BVwYaaTSpKmMiT4u4GzK46Xxo+t9ADwYeAc8Czw5ap6Y/UnSnI4yUKShfPnz084siRpEkOCnzUeq1XHnwKeAX4f+CPggSS/96YPqjpaVfNVNT83N3fZw0qSJjck+EvAtSuO9zC6kl/pLuDRGlkEfg5cP5sRJUmzMCT4TwP7kuwd/0fs7cCJVWteAj4JkOR9wIeAM7McVJI0nZ3rLaiqC0nuAR4HdgDHqup0krvH548A9wOPJHmW0VNA91bVKxs4tyTpMq0bfICqegx4bNVjR1a8fw74y9mOJkmaJV9pK0lNGHxJasLgS1ITBl+SmjD4ktSEwZekJgy+JDVh8CWpCYMvSU0YfElqwuBLUhMGX5KaMPiS1ITBl6QmDL4kNWHwJakJgy9JTRh8SWrC4EtSEwZfkpow+JLUhMGXpCYMviQ1YfAlqQmDL0lNGHxJasLgS1ITBl+SmjD4ktSEwZekJgy+JDVh8CWpCYMvSU0YfElqYlDwkxxI8mKSxST3XWTNrUmeSXI6yY9nO6YkaVo711uQZAfwIPAXwBLwdJITVfX8ijVXAQ8BB6rqpSTv3aiBJUmTGXKFfzOwWFVnquo14DhwaNWazwKPVtVLAFX18mzHlCRNa0jwdwNnVxwvjR9b6Trg6iQ/SnIyyZ1rfaIkh5MsJFk4f/78ZBNLkiYyJPhZ47FadbwTuAn4K+BTwN8lue5NH1R1tKrmq2p+bm7usoeVJE1u3efwGV3RX7vieA9wbo01r1TVq8CrSZ4AbgB+NpMpJUlTG3KF/zSwL8neJLuA24ETq9Z8D/h4kp1J3g58DHhhtqNKkqax7hV+VV1Icg/wOLADOFZVp5PcPT5/pKpeSPJD4BTwBvBwVT23kYNLki5PqlY/Hb855ufna2FhYUu+tiS9VSU5WVXzk3ysr7SVpCYMviQ1YfAlqQmDL0lNGHxJasLgS1ITBl+SmjD4ktSEwZekJgy+JDVh8CWpCYMvSU0YfElqwuBLUhMGX5KaMPiS1ITBl6QmDL4kNWHwJakJgy9JTRh8SWrC4EtSEwZfkpow+JLUhMGXpCYMviQ1YfAlqQmDL0lNGHxJasLgS1ITBl+SmjD4ktSEwZekJgy+JDVh8CWpiUHBT3IgyYtJFpPcd4l1H03yepLPzG5ESdIsrBv8JDuAB4GDwH7gjiT7L7Lua8Djsx5SkjS9IVf4NwOLVXWmql4DjgOH1lj3JeA7wMsznE+SNCNDgr8bOLvieGn82P9Lshv4NHDkUp8oyeEkC0kWzp8/f7mzSpKmMCT4WeOxWnX8deDeqnr9Up+oqo5W1XxVzc/NzQ2dUZI0AzsHrFkCrl1xvAc4t2rNPHA8CcA1wG1JLlTVd2cypSRpakOC/zSwL8le4L+A24HPrlxQVXv/7/0kjwD/ZOwl6cqybvCr6kKSexj99s0O4FhVnU5y9/j8JZ+3lyRdGYZc4VNVjwGPrXpszdBX1V9PP5YkadZ8pa0kNWHwJakJgy9JTRh8SWrC4EtSEwZfkpow+JLUhMGXpCYMviQ1YfAlqQmDL0lNGHxJasLgS1ITBl+SmjD4ktSEwZekJgy+JDVh8CWpCYMvSU0YfElqwuBLUhMGX5KaMPiS1ITBl6QmDL4kNWHwJakJgy9JTRh8SWrC4EtSEwZfkpow+JLUhMGXpCYMviQ1YfAlqYlBwU9yIMmLSRaT3LfG+c8lOTV+ezLJDbMfVZI0jXWDn2QH8CBwENgP3JFk/6plPwf+rKo+AtwPHJ31oJKk6Qy5wr8ZWKyqM1X1GnAcOLRyQVU9WVW/Hh8+BeyZ7ZiSpGkNCf5u4OyK46XxYxfzBeAHa51IcjjJQpKF8+fPD59SkjS1IcHPGo/VmguTTzAK/r1rna+qo1U1X1Xzc3Nzw6eUJE1t54A1S8C1K473AOdWL0ryEeBh4GBV/XI240mSZmXIFf7TwL4ke5PsAm4HTqxckOQDwKPA56vqZ7MfU5I0rXWv8KvqQpJ7gMeBHcCxqjqd5O7x+SPAV4D3AA8lAbhQVfMbN7Yk6XKlas2n4zfc/Px8LSwsbMnXlqS3qiQnJ72g9pW2ktSEwZekJgy+JDVh8CWpCYMvSU0YfElqwuBLUhMGX5KaMPiS1ITBl6QmDL4kNWHwJakJgy9JTRh8SWrC4EtSEwZfkpow+JLUhMGXpCYMviQ1YfAlqQmDL0lNGHxJasLgS1ITBl+SmjD4ktSEwZekJgy+JDVh8CWpCYMvSU0YfElqwuBLUhMGX5KaMPiS1ITBl6QmDL4kNTEo+EkOJHkxyWKS+9Y4nyTfGJ8/leTG2Y8qSZrGusFPsgN4EDgI7AfuSLJ/1bKDwL7x22HgmzOeU5I0pSFX+DcDi1V1pqpeA44Dh1atOQR8q0aeAq5K8v4ZzypJmsLOAWt2A2dXHC8BHxuwZjfwi5WLkhxm9C8AgP9J8txlTbt9XQO8stVDXCHci2XuxTL3YtmHJv3AIcHPGo/VBGuoqqPAUYAkC1U1P+Drb3vuxTL3Ypl7scy9WJZkYdKPHfKUzhJw7YrjPcC5CdZIkrbQkOA/DexLsjfJLuB24MSqNSeAO8e/rXML8Juq+sXqTyRJ2jrrPqVTVReS3AM8DuwAjlXV6SR3j88fAR4DbgMWgd8Cdw342kcnnnr7cS+WuRfL3Itl7sWyifciVW96ql2StA35SltJasLgS1ITGx58b8uwbMBefG68B6eSPJnkhq2YczOstxcr1n00yetJPrOZ822mIXuR5NYkzyQ5neTHmz3jZhnwZ+TdSb6f5KfjvRjy/4VvOUmOJXn5Yq9VmribVbVhb4z+k/c/gD8AdgE/BfavWnMb8ANGv8t/C/CTjZxpq94G7sUfA1eP3z/YeS9WrPsXRr8U8JmtnnsLfy6uAp4HPjA+fu9Wz72Fe/G3wNfG788BvwJ2bfXsG7AXfwrcCDx3kfMTdXOjr/C9LcOydfeiqp6sql+PD59i9HqG7WjIzwXAl4DvAC9v5nCbbMhefBZ4tKpeAqiq7bofQ/aigHclCfBORsG/sLljbryqeoLR93YxE3Vzo4N/sVsuXO6a7eByv88vMPobfDtady+S7AY+DRzZxLm2wpCfi+uAq5P8KMnJJHdu2nSba8hePAB8mNELO58FvlxVb2zOeFeUibo55NYK05jZbRm2gcHfZ5JPMAr+n2zoRFtnyF58Hbi3ql4fXcxtW0P2YidwE/BJ4HeBf0vyVFX9bKOH22RD9uJTwDPAnwN/CPxzkn+tqv/e6OGuMBN1c6OD720Zlg36PpN8BHgYOFhVv9yk2TbbkL2YB46PY38NcFuSC1X13c0ZcdMM/TPySlW9Crya5AngBmC7BX/IXtwF/H2NnsheTPJz4Hrg3zdnxCvGRN3c6Kd0vC3DsnX3IskHgEeBz2/Dq7eV1t2LqtpbVR+sqg8C/wj8zTaMPQz7M/I94ONJdiZ5O6O71b6wyXNuhiF78RKjf+mQ5H2M7hx5ZlOnvDJM1M0NvcKvjbstw1vOwL34CvAe4KHxle2F2oZ3CBy4Fy0M2YuqeiHJD4FTwBvAw1W17W4tPvDn4n7gkSTPMnpa496q2na3TU7ybeBW4JokS8BXgbfBdN301gqS1ISvtJWkJgy+JDVh8CWpCYMvSU0YfElqwuBLUhMGX5Ka+F/Xe3Wlc9XddQAAAABJRU5ErkJggg==\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig, ax = plt.subplots(2,2)", | |
"execution_count": 44, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 4 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "mtcars=pd.read_csv(\"mtcars.csv\")", | |
"execution_count": 46, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "mtcars.columns", | |
"execution_count": 47, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 47, | |
"data": { | |
"text/plain": "Index(['mpg', 'cyl', 'disp', 'hp', 'drat', 'wt', 'qsec', 'vs', 'am', 'gear',\n 'carb'],\n dtype='object')" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "mtcars.shape", | |
"execution_count": 48, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 48, | |
"data": { | |
"text/plain": "(32, 11)" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "mtcars.head()", | |
"execution_count": 49, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 49, | |
"data": { | |
"text/plain": " mpg cyl disp hp drat wt qsec vs am gear carb\n0 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4\n1 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4\n2 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1\n3 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1\n4 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2", | |
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>mpg</th>\n <th>cyl</th>\n <th>disp</th>\n <th>hp</th>\n <th>drat</th>\n <th>wt</th>\n <th>qsec</th>\n <th>vs</th>\n <th>am</th>\n <th>gear</th>\n <th>carb</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>21.0</td>\n <td>6</td>\n <td>160.0</td>\n <td>110</td>\n <td>3.90</td>\n <td>2.620</td>\n <td>16.46</td>\n <td>0</td>\n <td>1</td>\n <td>4</td>\n <td>4</td>\n </tr>\n <tr>\n <th>1</th>\n <td>21.0</td>\n <td>6</td>\n <td>160.0</td>\n <td>110</td>\n <td>3.90</td>\n <td>2.875</td>\n <td>17.02</td>\n <td>0</td>\n <td>1</td>\n <td>4</td>\n <td>4</td>\n </tr>\n <tr>\n <th>2</th>\n <td>22.8</td>\n <td>4</td>\n <td>108.0</td>\n <td>93</td>\n <td>3.85</td>\n <td>2.320</td>\n <td>18.61</td>\n <td>1</td>\n <td>1</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>21.4</td>\n <td>6</td>\n <td>258.0</td>\n <td>110</td>\n <td>3.08</td>\n <td>3.215</td>\n <td>19.44</td>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>4</th>\n <td>18.7</td>\n <td>8</td>\n <td>360.0</td>\n <td>175</td>\n <td>3.15</td>\n <td>3.440</td>\n <td>17.02</td>\n <td>0</td>\n <td>0</td>\n <td>3</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n</div>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "pd.crosstab(mtcars.gear,mtcars.cyl)", | |
"execution_count": 56, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 56, | |
"data": { | |
"text/plain": "cyl 4 6 8\ngear \n3 1 2 12\n4 8 4 0\n5 2 1 2", | |
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>cyl</th>\n <th>4</th>\n <th>6</th>\n <th>8</th>\n </tr>\n <tr>\n <th>gear</th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>2</td>\n <td>12</td>\n </tr>\n <tr>\n <th>4</th>\n <td>8</td>\n <td>4</td>\n <td>0</td>\n </tr>\n <tr>\n <th>5</th>\n <td>2</td>\n <td>1</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n</div>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "pd.crosstab(mtcars.gear,mtcars.cyl).plot(kind=\"bar\")", | |
"execution_count": 61, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 61, | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x21dde6905b0>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "mtcars['gear'].value_counts()", | |
"execution_count": 63, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 63, | |
"data": { | |
"text/plain": "3 15\n4 12\n5 5\nName: gear, dtype: int64" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "mtcars['gear'].value_counts().plot(kind=\"pie\")", | |
"execution_count": 64, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 64, | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x21dde73d640>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "import seaborn as sns\nsns.boxplot(x='gear',y='mpg',data=mtcars)", | |
"execution_count": 66, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 66, | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x21de07a3700>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.pairplot(mtcars.iloc[:,0:4])", | |
"execution_count": 70, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 70, | |
"data": { | |
"text/plain": "<seaborn.axisgrid.PairGrid at 0x21deabee6d0>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 720x720 with 20 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.pairplot(mtcars)", | |
"execution_count": 71, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 71, | |
"data": { | |
"text/plain": "<seaborn.axisgrid.PairGrid at 0x21dec30ddc0>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 1980x1980 with 132 Axes>", | |
"image/png": 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cc2hlzK4d2DPR2Tgvu/iaqc1qdp31eKt55sDM3njF7O1xYGbvwJ/YaeI1sLFB+2LYLA9z8CEf7dednIgLL16JBz/wdPzo+z8bD37g6YFv67MTOc41dcwbACnrdIo4MLM3prqT8a6PP7u+IR6xet++3Z7E3Mm6os41iPXNzuU4z9OMJs/jrGyyIb/b+9nCqMjw9hzDpa2ONVhb1iiymZ5a3vmiKH4jIp6KiB+NiLMR8X1lWb62judKxW4H9kY3iH/03iPx5NNfjve+7Ug8/pkvxJNPfzkev+/orm4iDzm4Y9/e+MWbxsIv3nc07tiXzlejpOC2PRvXpdv2jNeke8e+vbfUzsd3mZeNanbd9bjqBWQTr4GNDdoXw2Z5mOzIR/uNqg9znGvqmDcA2mCjueOOmb27XoPuZE6qc/6yvtm5HOd5mtHkeZzNcry35nuZQ1WmNq3FMrzGMVza6liDtWWNIpvpqeue4u+LiKMRcSVWN8d/MyJ+pyzLpS3/4Q6ldL+uze71upP7bPX7Zcwv9qK3vBJFUcREEVF0ipjsFLHUW71p/OzUnlhYujr0TeSpxdjddy4FV6+uxPMvXonlfhmTnSLu2Lc39lgM3mAHdSn7DC8v91fzstKPyYlO3LFv76b3Uh7U9TV7FPW4inlmo985ytdQo9ZneNC+GCbLw2Yno3y0ReU5HkUf1lGbUlDHvDEGWl+LU+Ce4o0b+xzfPHfMTu2JP77w4q7r/E7mpDrnrzFY31Sa4VzneZox4HmcWtbEZ//0G3Hi2q0gDs1OxRM/djQOf9vL5Ji6VF+L//RSnPjAdbX4x47F4W9Ti6/nGK5SyZ+faNMaRTYbsWkIatkUX//lRbEvIn4iIn4mIr6tLMtKL39I7YBzDA6u2NjYnzghXQPWJRluCfPMpmR4G7LTCq3NsXxxTWsznBKb4o2T4w2o862S/Els2EYtdViOGTG1mLZrxZrYuGALmwZhspZnK4q/FxF/KVY/Lf6liPjliPhPdTxXStbuwwWQCnUpL/qTYckOdZIvgLyp8+NN/5MDOabtZBhuZVwwjFo2xSNiKiJ+PiKeLstyuabnYECumCFHck3byCyDkhVSJ6MANM1cBO3T5LhVM2g7GabtZJhU1LIpXpble+v4vexc1fdWULxGw/u8tTbdM4TRSH3MyGw+6s6arJC6tmQ09XkBgOHtZC4yH0Aa+v0ynptfjC/NX47buxNxubcS3zl3e9w5N137mGzyuaEKbTkGa5o5P111ZVifMwx3c69Jv1/GhUtX4isLl+PCpSvR79d37/atzC/21otNRMS5haU4cepMzC/2dvy71orXPY89Fccf/XTc89hTcfb8pcZeW668z9urMte5S6UW1akNYyalzI5DJuoyiqyllJW2kvF6tSGjKc4Lcgnjy/iv3qBzUYrzQRvJMFW4uNSL8994KR752OfiR9//2XjkY5+L8994KS4u1b+GbPK5yUtT9bANx2BNM+cProkc15HhNvW5tVRa6vr69LGW0tVbveWV9WKz5tzCUvSWV2742SBX1WxWvE6fPO7eDRWaX+zF+z51Nh65+67YP7UnLi5djfd96my8+54j3udrBs31uEupFtWl3y/jT7/xUixeWY5H7r4rHv/MF+IPvnwxudqUSmbHIRN1qmoe3GrOTSUrbSXj9WtDRqsYq1VecS6XML6M/3oMOhfldg6jiU9DyTBVWeqtxK889cUbznX9ylNfjJ/9m38uYjrf5yYfTdbDNhyDNc359ME0leM6MtyWPreWSo9Pitcgpau3upMTcWh26oafHZqdiu7kxPp/D3pVjQl4NPr9frz9ja+Od3382fjR93823vXxZ+Ptb3x19Pv9ppuWjEFyTVq1qA5rtetHful34m2P/0686+PPxs/89cPxPa/cn1xtSiWzuWeiblXMg9vNualkpa1kvH5tyOhux2rVV5zLJYwv478eg85FOZ3DaOrTUDJMVTqd2PBc1yg2BJp8bvLRZD1swzFY05xPH0xTOa4jw23pc2up9NgUr0FKB15z09144v5j60Vn7UqUuenu+t8ZdGCagEdjpYx4+MlnbuiPh598JlZ8q8a6QXJNWrWoDhvVroeffCYe+sHvSq42pZLZ3DNRtyrmwe3m3FSy0lYyXr82ZHS3Y7Xqg1a5hPFl/Ndj0Lkop3MYTZ1QlWGqUpbFhue6yhGc62ryuclHk/WwDcdgTXM+fTBN5biODLelz62l0uPr02uwduB1fdibOvDqdIo4fHAmTp88vulXbA06MNeK181f9WACrlZZlhv2R2m1vm6QXJNWLarDZrVrrValVJtSyWzumahbFfPgdnNuKllpKxmvXxsyutuxWvVBq1zC+DL+6zHoXJTTOYymTqjKMFVp8lyX82xUocl62IZjsKYZ54NpKsd1ZLgtfW4tlR6fFK9BaldvdTpFHJjZG6+YvT0OzOy9pdgMevX09cXrqYd/KE6fPO7eBzXI6Wr2Om2Xa9KrRVXbbKx8x/6pJGtTCpnNPRN1q2IeHKTGp5CVtpLx0Ug9o7sdq1WvxeQSxpfxX59B5qKczmE0dZ5AhqlKk+e6nGejCk3Xw9SPwZpmnA+myRxXneG29HnTtYNbFSldOVEUxW0R8ZsRsTdWP8X+kbIsf3azv3/s2LHyzJkzo2rejvT7Zcwv9lpx9dbavaluvnq6rQeLDdjVm3RzjvUHVRqwFlWa4VExVobTpvlpB1qTYbmtX4sz3poc566OcdriXO6EDFfgznd+YuTP+dx73jry50xY5Tkek/FPzXYwN8kwSWo6w47BqMIO6qF18YgZ54PL5Vxxm/rcWqoRm77BqX19+pWI+CtlWb5YFMWeiPitoij+XVmWn226YTu1duVLG/gKlrToD6rUplq0U8bKcHLORBvIbf1knN2qY5zKJYwv458qNLmGlGGq0HSGHYNRBfUwXcb54HLJcZv6PJf3PBdJbYqXqx9bf/Haf+659kjno+wZMzDToj9gMMYKbSS3kD7jFIDUmJtouyYzbPxA/ozz8aPPGUZy9xQvimKiKIo/jIjnI+JTZVn+btNtAgAAAAAAAKCdktsUL8typSzLvxARhyLi+4uieN31f14UxQNFUZwpiuLMhQsXmmkk7JIc03YyTNvJMDmQY9pOhsmBHNN2MkzbyTA5kGPaToZpi+Q2xdeUZXkxIj4TEW+56efvL8vyWFmWxw4cONBI29qi3y/jwqUr8ZWFy3Hh0pXo930TfSrkePfku1ltyLCMsJWUMyy7DCrlHLeV8TdaMkwOcsuxOjh+tsuwTJC63Oow6aqzHsrx7pmvmiXDm5PNtCR1T/GiKA5ExNWyLC8WRTEVEX81Ih5tuFmt1O+Xcfb8pThx6kycW1iKQ7NT8cT9x+LwwZnodIqmmwe7It9sR0ZoK9mF5hh/wLhTB7mZTACsUg/Tpn9IlWymJ7VPin97RHy6KIpnIuL3YvWe4h9vuE2tNL/YWx9oERHnFpbixKkzMb/Ya7hlsHvyzXZkhLaSXWiO8QeMO3WQm8kEwCr1MG36h1TJZnqS+qR4WZbPRMT3NN2OHPSWV9YH2ppzC0vRW15pqEVQHflmOzJCW8kuNMf4A8adOsjNZAJglXqYNv1DqmQzPUltilOd7uREHJqdinMLS/E9r9wfD/3gd8XcdDeKooh+v/TVDInr98uYX+xFb3klupMTMTfd1WfXuT7faw7NTkV3cqLBVlGXYcaDjNBWU92J+JUf/764vTsRF5euxuOf+UJcePGK7MII7GbusHYDcjDqNbTamT7HVVTJmKfNupMT8ea77oh7j74y9k/tiYtLV+PJp7+sHiZC/4ynNswr1lLpsSneYlsN+rnpbjxx/7F436fOxtvf+Op4+Mln3LOgJdxnYntz09049be/P740fzlu707E5d5KfOfc7TE33W26aVRskPGwUS1cq4E3/zsZIWX9fhnnv3ElHvnY59Zz+963HYmDL7utkey24eACIqrL6rBzh7UbULdRzcmjXEOrne3g2JuqGPO03ezUnvjJN313PPTBp9cz/Ph9R2N2ak/TTSP0z07kcq6nLfNKm85R55KN7dgUb6ntBn2nU8ThgzPxf/wvr4sf+aXfueWeBadPHo8DM3sbfhVsZLP7TOizG11Z7t+wcfTE/ceabhI12G48bFULDx+cidMnj2c/kZOPjfL+jo88Ex89+caRZ7ctBxdQZVbX1s87nTus3YA6jXJOHrYODkPtbA/H3lTBmKft/mypt77hGrGa4Yc++HR89OQb446Z2xpuHQtLVzfsHzXmRjmd62nLvDLK9fVu5JSN7XSabgDD2WzQzy/21v9Op1NEWZbuWdAy7jOxvUHyTx62Gw9bZaHTKeLAzN54xeztcWBmb3YTOPnZLO9Xl/sjb4s6S1tUndVh5g5rN6BOo56TR7WGVjvbwZqQqhjztN1LVzfO8EtXR3+8zq3UmMHkNK+3qc/bcI46p2xsx6Z4Sw066NfuWXA99yxImz7bXpsmPXZnu/EgC+QkpfpvbNEWKWQ1pbEL5CeFOlcHtbMdcs0fo2fM03YTRbFhhifS29saS2rMYHKa16IvjhoAACAASURBVPV5tXLKxnZsirfUoIN+7Z4Fa3835XsWsEqfbc+kNz62Gw+yQE5Sqv/GFm2RQlZTGrtAflKoc3VQO9sh1/wxesY8bTfVnYj3vu3IDRl+79uOxFRXPUyBGjOYnOZ1fV6tnLKxnaIsy6bbMLRjx46VZ86caboZjRjkO/77/TLmF3vR7/djpYwoyzLZexa03K7ezI1yvNZ3Kd9noknjdI+LEak8w1XaajxslYWIMI7GR9IZ3ol+v4wXFq/ES1f7MVGsHnjvnxp9dtXZRmST41GqOqvDrsGs3SJChitx5zs/MfLnfO49bx35cyYsuRxXVedSrFMptikDlWbYmpAqDTjmk6vDELGa3+fmF+NL85fj9u5EXO6txHfO3R53zk3LcSKWl/vx/ItXYnmlH5MTnbhj396YnPSZ0OvtYF5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"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.scatter(mtcars.mpg, mtcars.qsec)", | |
"execution_count": 79, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 79, | |
"data": { | |
"text/plain": "<matplotlib.collections.PathCollection at 0x21df183d280>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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LutHdv1pnP8uS8v4fkPSWuz9UZ9+qYmY3SbrJ3Z83s1+SdFLSbkl/pO6Mg7Rj8AfqwFgwM1P/Ipy3zGxE0jOS7pG0R90ZA2nH4C4NOQZqP2N396clvbGm+TOSvpk8/qb6AzyklPffKe5+3t2fTx7/VNIZSePq1jhIOwad4H1vJf8cSf64ujUG0o7B0GoP9hTvd/fzUn/AS3pfzf2pw5+b2Y+SUk3Yj59rmdmEpClJz6qj42DNMZA6MhbMbIuZvSDpgqTj7t65MZByDKQhx0BTg73r/k7Sr0m6TdJ5SX9db3eqYWY3SHpC0r3u/mbd/anDOsegM2PB3S+7+22SPiDpdjO7pe4+VS3lGAw9Bpoa7K8lNceV2uOFmvtTKXd/LfkBvyPpHyTdXnefypbUFJ+Q9Ki7zyXNnRoH6x2DLo4Fd1+S9H31a8udGgMrVh+DPGOgqcH+bUl7k8d7JT1ZY18qtzKQE78v6cW050aQTBo9IumMuz+86kudGQdpx6ArY8HMxsxsNHnck/S7kl5Wt8bAuscgzxhowqqYxyTtUn9rytck3S9pXtLjkrZL+omkz7p7yAnGlPe/S/2PXS7pvyT9yUqdMSIz+y1JP5B0WtI7SfN96teYuzIO0o7B3erAWDCzW9WfHN2i/gnn4+7+V2b2K+rOGEg7Bv+oIcdA7cEOAChWU0sxAICcCHYACIZgB4BgCHYACIZgB4BgCHYACIZgB4Bg/h9skA6iN0zUnAAAAABJRU5ErkJggg==\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.scatter(mtcars.mpg, mtcars.qsec)", | |
"execution_count": 81, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 81, | |
"data": { | |
"text/plain": "<matplotlib.collections.PathCollection at 0x21df2bd4e50>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.hist(mtcars['mpg'])", | |
"execution_count": 82, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 82, | |
"data": { | |
"text/plain": "(array([2., 4., 6., 6., 5., 3., 1., 1., 2., 2.]),\n array([10.4 , 12.75, 15.1 , 17.45, 19.8 , 22.15, 24.5 , 26.85, 29.2 ,\n 31.55, 33.9 ]),\n <a list of 10 Patch objects>)" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.pairplot(mtcars['mpg','disp'])", | |
"execution_count": 155, | |
"outputs": [ | |
{ | |
"output_type": "error", | |
"ename": "KeyError", | |
"evalue": "('mpg', 'disp')", | |
"traceback": [ | |
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", | |
"\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", | |
"\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 2645\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2646\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2647\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;31mKeyError\u001b[0m: ('mpg', 'disp')", | |
"\nDuring handling of the above exception, another exception occurred:\n", | |
"\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", | |
"\u001b[1;32m<ipython-input-155-9f8a317f8459>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpairplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmtcars\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'mpg'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'disp'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", | |
"\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 2798\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2799\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2800\u001b[1;33m \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2801\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2802\u001b[0m \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
"\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m 2646\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2647\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2648\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2649\u001b[0m \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2650\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n", | |
"\u001b[1;31mKeyError\u001b[0m: ('mpg', 'disp')" | |
] | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.boxplot(mtcars['mpg']);", | |
"execution_count": 156, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.boxplot(mtcars['mpg'],vert=False);", | |
"execution_count": 157, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAW8AAAD4CAYAAAAjKGdbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAIkElEQVR4nO3dT4hdZxnH8d9jGlDUamKqFDUEXA0EqRC6CtIBF8WNf0AhqwqBurHUneIskgoDIuomC6EyxSoyUKio2y4iNRslKVUrI7ixopTWkkjNolDs62JuS4ydSSaTOyfP3M8HhkxObu59z5snX2bOvbmpMUYA6OVdUy8AgJ0Tb4CGxBugIfEGaEi8ARq6ax53euTIkXHs2LF53DXAvnTp0qVXxxj33Ozt5xLvY8eO5eLFi/O4a4B9qape3MntXTYBaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CGxBugIfEGaEi8ARoSb4CG7pp6Afy/w4cP58qVK1MvY1fGmbtTj7029TJ27NChQ7l8+fLUy4AbEu870JUrVzLGmHoZu3P2Ay3PoaqmXgLcFJdNABoSb4CGxBugIfEGaEi8ARoSb4CG7rh4e6kWsJe6NueOizcANybeAA2JN0BD4g3Q0A3jXVVPVNUrVfXCXiwIoJv19fUcP348Bw4cyPHjx7O+vj73x7yZr7x/nOTBOa8DoKX19fWsrKzk3Llzef3113Pu3LmsrKzMPeA3jPcY49kk3iMT4B2srq5mbW0ty8vLOXjwYJaXl7O2tpbV1dW5Pu5te0vYqno4ycNJcvTo0d3e1+1YEtwS88dObGxs5OTJk/9z7OTJk9nY2Jjr4962eI8xHk/yeJKcOHFiV2/k3PF9oG8n8ZjWos/fotnt37elpaVcuHAhy8vLbx+7cOFClpaWdru0bXm1CcAurKys5PTp0zl//nzeeOONnD9/PqdPn87KyspcH9f/pAOwC6dOnUqSPPLII9nY2MjS0lJWV1ffPj4vN4x3Va0neSDJkar6e5IzY4y1ua4KoJFTp07NPdbXu2G8xxh7uyIAbsg1b4CGxBugIfEGaOiOi7fX2AJ7qWtz7rh4A3Bj4g3QkHgDNCTeAA2JN0BD4g3QkDemukN1f1vYcebuludw6NChqZcAN0W870BdX3d6vXF26hXA/uWyCUBD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNCTeAA2JN0BD4g3QkHgDNFRjjNt/p1X/TPLiTdz0SJJXb/sC+lj080/sQWIPEntwJMl7xxj33OxvmEu8b/rBqy6OMU5MtoCJLfr5J/YgsQeJPbiV83fZBKAh8QZoaOp4Pz7x409t0c8/sQeJPUjswY7Pf9Jr3gDcmqm/8gbgFog3QEN7Eu+qeqKqXqmqF645driqnqmqv8x+PLQXa5nKFntwtqr+UVXPzz4+O+Ua562qPl5V56tqo6r+VFWPzo4vxCxsc/4LMwdV9e6q+l1V/X62B4/Nji/EDCTb7sGO5mBPrnlX1aeTXE3ykzHG8dmx7ya5PMb4TlV9M8mhMcY35r6YiWyxB2eTXB1jfG/Kte2Vqro3yb1jjOeq6v1JLiX5fJKvZAFmYZvz/3IWZA6qqrL5j1GuVtXBJBeSPJrki1mAGUi23YMHs4M52JOvvMcYzya5fN3hzyV5cvb5k9kc4n1riz1YKGOMl8YYz80+/3eSjSQfzYLMwjbnvzDGpquznx6cfYwsyAwk2+7Bjkx5zfsjY4yXks2hTvLhCdcypa9V1R9ml1X27beK16uqY0k+leS3WcBZuO78kwWag6o6UFXPJ3klyTNjjIWbgS32INnBHHjCclo/TPKJJPcleSnJ96ddzt6oqvcleTrJ18cYr029nr32Due/UHMwxvjPGOO+JB9Lcn9VHZ96TXttiz3Y0RxMGe+XZ9cA37oW+MqEa5nEGOPl2R/im0l+lOT+qdc0b7NrfE8n+dkY4+ezwwszC+90/os4B0kyxvhXkl9n81rvwszAta7dg53OwZTx/lWSh2afP5TklxOuZRJvDevMF5K8sNVt94PZEzVrSTbGGD+45pcWYha2Ov9FmoOquqeqPjj7/D1JPpPkz1mQGUi23oOdzsFevdpkPckD2Xzbw5eTnEnyiyRPJTma5G9JvjTG2LdP6G2xBw9k81ukkeSvSb761nW//aiqTib5TZI/Jnlzdvhb2bzuu+9nYZvzP5UFmYOq+mQ2n5A8kM0vHp8aY3y7qj6UBZiBZNs9+Gl2MAf+eTxAQ56wBGhIvAEaEm+AhsQboCHxBmhIvAEaEm+Ahv4Lw5tIuK0leUAAAAAASUVORK5CYII=\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.violinplot(mtcars['mpg']);", | |
"execution_count": 158, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "tips=sns.load_dataset('tips')", | |
"execution_count": 88, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "tips", | |
"execution_count": 89, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 89, | |
"data": { | |
"text/plain": " total_bill tip sex smoker day time size\n0 16.99 1.01 Female No Sun Dinner 2\n1 10.34 1.66 Male No Sun Dinner 3\n2 21.01 3.50 Male No Sun Dinner 3\n3 23.68 3.31 Male No Sun Dinner 2\n4 24.59 3.61 Female No Sun Dinner 4\n.. ... ... ... ... ... ... ...\n239 29.03 5.92 Male No Sat Dinner 3\n240 27.18 2.00 Female Yes Sat Dinner 2\n241 22.67 2.00 Male Yes Sat Dinner 2\n242 17.82 1.75 Male No Sat Dinner 2\n243 18.78 3.00 Female No Thur Dinner 2\n\n[244 rows x 7 columns]", | |
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>total_bill</th>\n <th>tip</th>\n <th>sex</th>\n <th>smoker</th>\n <th>day</th>\n <th>time</th>\n <th>size</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>16.99</td>\n <td>1.01</td>\n <td>Female</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>1</th>\n <td>10.34</td>\n <td>1.66</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>2</th>\n <td>21.01</td>\n <td>3.50</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>3</th>\n <td>23.68</td>\n <td>3.31</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>4</th>\n <td>24.59</td>\n <td>3.61</td>\n <td>Female</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>4</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>239</th>\n <td>29.03</td>\n <td>5.92</td>\n <td>Male</td>\n <td>No</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>240</th>\n <td>27.18</td>\n <td>2.00</td>\n <td>Female</td>\n <td>Yes</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>241</th>\n <td>22.67</td>\n <td>2.00</td>\n <td>Male</td>\n <td>Yes</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>242</th>\n <td>17.82</td>\n <td>1.75</td>\n <td>Male</td>\n <td>No</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>243</th>\n <td>18.78</td>\n <td>3.00</td>\n <td>Female</td>\n <td>No</td>\n <td>Thur</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n<p>244 rows × 7 columns</p>\n</div>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.stripplot(x='day',y='tip',data=tips,jitter=False);", | |
"execution_count": 159, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.swarmplot(x='day',y='tip',data=tips,hue=\"sex\")\nplt.ylabel('tip($@)')\nplt.show()", | |
"execution_count": 99, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.boxplot(x='day',y=\"tip\",data=tips)\nplt.ylabel('tip ($)')\nplt.show()", | |
"execution_count": 105, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "plt.subplot(1,2,1)\nsns.boxplot(x='day',y=\"tip\",data=tips)\nplt.ylabel('tip ($)')\nplt.subplot(1,2,2)\nsns.violinplot(x='day',y=\"tip\",data=tips)\nplt.ylabel('tip ($)')\nplt.show()", | |
"execution_count": 106, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 2 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "#combining plot\n\nsns.violinplot(x='day',y='tip',data=tips,inner=None, color= 'lightgray')\nsns.stripplot(x='day',y='tip',data=tips,size =4, jitter =True)\nplt.ylabel ('tip($)')\nplt.show()\n\n", | |
"execution_count": 108, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.jointplot(x='total_bill',y='tip',data=tips)", | |
"execution_count": 109, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 109, | |
"data": { | |
"text/plain": "<seaborn.axisgrid.JointGrid at 0x21df470c370>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x432 with 3 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.jointplot(x='total_bill',y='tip',data=tips,kind='kde')", | |
"execution_count": 110, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 110, | |
"data": { | |
"text/plain": "<seaborn.axisgrid.JointGrid at 0x21df47ecd30>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x432 with 3 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.pairplot(tips,hue=\"sex\")", | |
"execution_count": 116, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 116, | |
"data": { | |
"text/plain": "<seaborn.axisgrid.PairGrid at 0x21df5d4e850>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 612.125x540 with 12 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "data=pd.read_csv(\"train.csv\")", | |
"execution_count": 117, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "data.head()", | |
"execution_count": 118, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 118, | |
"data": { | |
"text/plain": " PassengerId Survived Pclass \\\n0 1 0 3 \n1 2 1 1 \n2 3 1 3 \n3 4 1 1 \n4 5 0 3 \n\n Name Sex Age SibSp \\\n0 Braund, Mr. Owen Harris male 22.0 1 \n1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n2 Heikkinen, Miss. Laina female 26.0 0 \n3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n4 Allen, Mr. William Henry male 35.0 0 \n\n Parch Ticket Fare Cabin Embarked \n0 0 A/5 21171 7.2500 NaN S \n1 0 PC 17599 71.2833 C85 C \n2 0 STON/O2. 3101282 7.9250 NaN S \n3 0 113803 53.1000 C123 S \n4 0 373450 8.0500 NaN S ", | |
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>PassengerId</th>\n <th>Survived</th>\n <th>Pclass</th>\n <th>Name</th>\n <th>Sex</th>\n <th>Age</th>\n <th>SibSp</th>\n <th>Parch</th>\n <th>Ticket</th>\n <th>Fare</th>\n <th>Cabin</th>\n <th>Embarked</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>Braund, Mr. Owen Harris</td>\n <td>male</td>\n <td>22.0</td>\n <td>1</td>\n <td>0</td>\n <td>A/5 21171</td>\n <td>7.2500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n <td>female</td>\n <td>38.0</td>\n <td>1</td>\n <td>0</td>\n <td>PC 17599</td>\n <td>71.2833</td>\n <td>C85</td>\n <td>C</td>\n </tr>\n <tr>\n <th>2</th>\n <td>3</td>\n <td>1</td>\n <td>3</td>\n <td>Heikkinen, Miss. Laina</td>\n <td>female</td>\n <td>26.0</td>\n <td>0</td>\n <td>0</td>\n <td>STON/O2. 3101282</td>\n <td>7.9250</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>3</th>\n <td>4</td>\n <td>1</td>\n <td>1</td>\n <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n <td>female</td>\n <td>35.0</td>\n <td>1</td>\n <td>0</td>\n <td>113803</td>\n <td>53.1000</td>\n <td>C123</td>\n <td>S</td>\n </tr>\n <tr>\n <th>4</th>\n <td>5</td>\n <td>0</td>\n <td>3</td>\n <td>Allen, Mr. William Henry</td>\n <td>male</td>\n <td>35.0</td>\n <td>0</td>\n <td>0</td>\n <td>373450</td>\n <td>8.0500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n </tbody>\n</table>\n</div>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "data.columns", | |
"execution_count": 122, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 122, | |
"data": { | |
"text/plain": "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n 'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n dtype='object')" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "data.shape", | |
"execution_count": 123, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 123, | |
"data": { | |
"text/plain": "(891, 12)" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "data.groupby(\"Survived\")[\"PassengerId\"].count()", | |
"execution_count": 125, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 125, | |
"data": { | |
"text/plain": "Survived\n0 549\n1 342\nName: PassengerId, dtype: int64" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "f, ax = plt.subplots(figsize=(11,5))\nsns.boxplot(x=\"Survived\", y= \"Age\" , data = data)", | |
"execution_count": 128, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 128, | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x21df618a250>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 792x360 with 1 Axes>", | |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAApUAAAE9CAYAAABa9pm5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAYLklEQVR4nO3df9Bdd10n8PeniUgoorSk2RiKQVNg0VlQnsUf7KxoWyeKUka2CKtL2OlM/UPT6K6j1WUG3e2wndkdZzNZdcyqa+q6QEGZdhw2ULJ2ZB0WSWulYKt9wFCahjaEyo+SBZJ+9o/camzTNMnJuadP7us10znne+758X7aSfp+vufee6q7AwAAQ5w3dQAAAFY+pRIAgMGUSgAABlMqAQAYTKkEAGAwpRIAgMFWTx3gVDznOc/pjRs3Th0DAGDh3XbbbZ/p7rWP3b4iSuXGjRuzd+/eqWMAACy8qvrkiba7/Q0AwGBKJQAAgymVAAAMplQCADCYUgkAwGBKJQAAgymVAHAOOHToUK655pocOnRo6igsqFFLZVX9bFV9rKo+WlVvq6qnV9UFVXVLVd0zWz57zAwAsAh27dqVO++8MzfccMPUUVhQo5XKqtqQ5JokS939bUlWJXl9kmuT7OnuS5LsmY0BgDN06NCh7N69O92d3bt3m61kEmPf/l6dZE1VrU7yjCT3J7kiya7Z67uSvGbkDABwTtu1a1ceeeSRJMnRo0fNVjKJ0Upld+9P8p+T3JvkQJLPdff7kqzr7gOzfQ4kuehEx1fV1VW1t6r2Hjx4cKyYALDivf/978+RI0eSJEeOHMktt9wycSIW0Zi3v5+dY7OSz0/yjUnOr6qfONXju3tndy9199LatY97ZjkAMHPZZZdl9erVSZLVq1fn8ssvnzgRi2jM29+XJfmb7j7Y3V9N8odJvifJA1W1PklmywdHzAAA57wtW7bkvPOO/S991apVeeMb3zhxIhbRmKXy3iTfVVXPqKpKcmmSu5LcnGTLbJ8tSW4aMQMAnPMuvPDCbN68OVWVzZs358ILL5w6Egto9Vgn7u4PVdW7ktye5EiSP0+yM8kzk9xYVVflWPG8cqwMALAotmzZkn379pmlZDLV3VNneFJLS0u9d+/eqWMAACy8qrqtu5ceu90TdQAAGEypBABgMKUSAIDBlEoAAAZTKgEAGEypBABgMKUSAIDBlEoAAAZTKgEAGEypZOEdOnQo11xzTQ4dOjR1FABYsZRKFt6uXbty55135oYbbpg6CgCsWEolC+3QoUPZvXt3uju7d+82WwkAZ0ipZKHt2rUrjzzySJLk6NGjZisB4AwplSy097///Tly5EiS5MiRI7nlllsmTgQAK5NSyUK77LLLsnr16iTJ6tWrc/nll0+cCABWJqWShbZly5acd96xPwarVq3KG9/4xokTAcDKpFSy0C688MJs3rw5VZXNmzfnwgsvnDoSAKxIq6cOAFPbsmVL9u3bZ5YSAAYwU8nCe+ihh/Lxj388Dz300NRRAGDFUipZeNddd10efvjhXHfddVNHAYAVS6lkoS0vL2ffvn1Jkn379mV5eXnaQACwQimVLLTHzk6arQSAMzNaqayqF1bVHcf98/mq+pmquqCqbqmqe2bLZ4+VAZ7Mo7OUTzQGAE7NaKWyu/+qu1/a3S9N8rIkX0ry7iTXJtnT3Zck2TMbwyTWrFlz0jEAcGrmdfv70iQf7+5PJrkiya7Z9l1JXjOnDPA4hw8fPukYADg18yqVr0/yttn6uu4+kCSz5UUnOqCqrq6qvVW19+DBg3OKCQDAmRi9VFbV05K8Osk7T+e47t7Z3UvdvbR27dpxwrHwLr744pOOAYBTM4+Zyh9Mcnt3PzAbP1BV65NktnxwDhnghN7ylrecdAwAnJp5lMo35O9vfSfJzUm2zNa3JLlpDhnghDZt2vR3s5MXX3xxNm3aNHEiAFiZRi2VVfWMJJcn+cPjNl+f5PKqumf22vVjZoAn85a3vCXnn3++WUoAGKC6e+oMT2ppaan37t07dQwAgIVXVbd199Jjt3uiDgAAgymVAAAMplQCADCYUgkAwGBKJQAAgymVAAAMtnrqADy17NixI8vLy1PHmKv9+/cnSTZs2DBxkvnbtGlTtm7dOnUMAM4BSiUL7/Dhw1NHAIAVT6nkH1jEWatt27YlSbZv3z5xEgBYubynEgCAwZRKAAAGUyoBABhMqQSAc8Dy8nJe9apXLdw3ePDUoVQCwDnguuuuy8MPP5zrrrtu6igsKKUSAFa45eXl7Nu3L0myb98+s5VMQqkEgBXusbOTZiuZglIJACvco7OUTzSGeVAqAWCFW79+/UnHMA9KJQCcY6pq6ggsIKUSAFa4AwcO/IPx/fffP1ESFplSCQAr3MaNG086hnlQKgFghXvzm9980jHMw6ilsqq+oareVVV3V9VdVfXdVXVBVd1SVffMls8eMwMAnOs2bdr0d7OTGzduzKZNm6YNxEIae6Zye5Ld3f2iJC9JcleSa5Ps6e5LkuyZjQGAAd785jfn/PPPN0vJZFaPdeKqelaSf57kTUnS3V9J8pWquiLJK2e77Upya5JfGCsHAItnx44dC/dUmf3792fNmjXZsWPH1FHmbtOmTdm6devUMRbemDOV35zkYJL/XlV/XlW/VVXnJ1nX3QeSZLa86EQHV9XVVbW3qvYePHhwxJgAsPIdPnw4hw8fnjoGC2y0mcrZub8jydbu/lBVbc9p3Oru7p1JdibJ0tJSjxMRgHPRIs5abdu2LUmyffv2iZOwqMacqbwvyX3d/aHZ+F05VjIfqKr1STJbPjhiBgAA5mC0Utndn07yqap64WzTpUn+MsnNSbbMtm1JctNYGQAAmI8xb38nydYkv19VT0vyiST/OseK7I1VdVWSe5NcOXIGAABGNmqp7O47kiyd4KVLx7wuAADz5Yk6AAAMplQCADCYUgkAwGBKJQAAgymVAAAMplQCADCYUgkAwGBKJQAAgymVAAAMplQCADCYUgkAwGBKJQAAgymVAAAMplQCADCYUgkAwGBKJQAAgymVAAAMplQCADCYUgkAwGBKJQAAgymVAAAMplQCADDY6jFPXlX7knwhydEkR7p7qaouSPKOJBuT7Evyuu5+aMwcAACMax4zld/X3S/t7qXZ+Noke7r7kiR7ZmMAAFawKW5/X5Fk12x9V5LXTJABAICzaOxS2UneV1W3VdXVs23ruvtAksyWF42cAQCAkY36nsokr+ju+6vqoiS3VNXdp3rgrIRenSTPe97zxsoHAMBZMOpMZXffP1s+mOTdSV6e5IGqWp8ks+WDT3Dszu5e6u6ltWvXjhkTAICBRiuVVXV+VX3do+tJfiDJR5PcnGTLbLctSW4aKwMAAPMx5u3vdUneXVWPXud/dvfuqvpwkhur6qok9ya5csQMAADMwWilsrs/keQlJ9h+KMmlY10XAID580QdAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABjsSUtlVa2rqt+uqv81G7+4qq4aPxoAACvFqcxU/m6S9yb5xtn4r5P8zFiBAABYeU6lVD6nu29M8kiSdPeRJEdHTQUAwIpyKqXy4aq6MEknSVV9V5LPjZoKAIAVZfUp7PNvktyc5Fuq6k+TrE3yL071AlW1KsneJPu7+4er6oIk70iyMcm+JK/r7odOMzcAAE8hTzpT2d23J/neJN+T5CeTfGt3f+Q0rrEtyV3Hja9Nsqe7L0myZzYGAGAFO5VPf/9oklcneWGSFyT5kaq6tKouOoVjn5vkVUl+67jNVyTZNVvfleQ1pxsaAICnllO5/X1Vku9O8sez8SuT/N8kL6iqf9/dv3eSY/9Lkp9P8nXHbVvX3QeSpLsPnEo5BQDgqe1UPqjzSJJ/3N2v7e7XJnlxki8n+c4kv/BEB1XVDyd5sLtvO5NgVXV1Ve2tqr0HDx48k1MAADAnp1IqN3b3A8eNH0zygu7+bJKvnuS4VyR5dVXtS/L2JN9fVf8jyQNVtT5JZssHT3Rwd+/s7qXuXlq7du0pxAQAYCqncvv7A1X1R0neORu/NsmfVNX5Sf72iQ7q7l9M8otJUlWvTPJz3f0TVfWfkmxJcv1sedOZxx/Xjh07sry8PHUMRvbof+Nt27ZNnIR52LRpU7Zu3Tp1DIBzzqmUyp9K8qNJ/tls/GdJ1nf3w0m+7wyueX2SG2ePerw3yZVncI65WF5ezh0fvStHn3HB1FEY0Xlf6STJbZ944En2ZKVb9aXPTh0B4Jz1pKWyu7uqPp5j76F8XZK/SfIHp3OR7r41ya2z9UNJLj3doFM5+owLcvhFPzR1DOAsWHP3e6aOAHDOesJSWVUvSPL6JG9IcijHvrC8uvtMZicBADiHnWym8u4kH0jyI929nCRV9bNzSQUAwIpysk9/vzbJp5P8cVX9t6q6NEnNJxYAACvJE5bK7n53d/9Ykhfl2PshfzbJuqr6jar6gTnlAwBgBTiVZ38/3N2/390/nOS5Se6I53UDAHCcU/ny87/T3Z/t7t/s7u8fKxAAACvPqXxPJQArmAc5LAYPclgsT8UHOSiVAOe45eXl3POxP8/znnl06iiM6GlfPXbz8cuf3DtxEsZ27xdXTR3hhJRKgAXwvGcezS99x+enjgGcBW+9/VlTRzih03pPJQAAnIhSCQDAYEolAACDKZUAAAymVAIAMJhSCQDAYEolAACDKZUAAAymVAIAMJhSCQDAYEolAACDKZUAAAymVAIAMNhopbKqnl5Vf1ZVf1FVH6uqX5ltv6Cqbqmqe2bLZ4+VAQCA+RhzpvLLSb6/u1+S5KVJNlfVdyW5Nsme7r4kyZ7ZGACAFWy0UtnHfHE2/JrZP53kiiS7Ztt3JXnNWBkAAJiPUd9TWVWrquqOJA8muaW7P5RkXXcfSJLZ8qIxMwAAML5RS2V3H+3ulyZ5bpKXV9W3neqxVXV1Ve2tqr0HDx4cLyQAAIPN5dPf3f23SW5NsjnJA1W1Pklmywef4Jid3b3U3Utr166dR0wAAM7QmJ/+XltV3zBbX5PksiR3J7k5yZbZbluS3DRWBgAA5mP1iOden2RXVa3KsfJ6Y3f/UVV9MMmNVXVVknuTXDliBgAA5mC0UtndH0ny7SfYfijJpWNdFwCA+RtzpnLF279/f1Z96XNZc/d7po4CnAWrvnQo+/cfmTrG3O3fvz8Pf2FV3nr7s6aOApwFn/zCqpy/f//UMR7HYxoBABjMTOVJbNiwIZ/+8uocftEPTR0FOAvW3P2ebNiwbuoYc7dhw4Z8+ciB/NJ3fH7qKMBZ8Nbbn5Wv3bBh6hiPY6YSAIDBlEoAAAZTKgEAGEypBABgMKUSAIDBlEoAAAZTKgEAGEypBABgMKUSAIDBlEoAAAZTKgEAGEypBABgMKUSAIDBlEoAAAZTKgEAGEypBABgMKUSAIDBlEoAAAZTKgEAGGz1WCeuqouT3JDkHyV5JMnO7t5eVRckeUeSjUn2JXlddz80Vo6hVn3ps1lz93umjsGIzvt/n0+SPPL0Z02chLGt+tJnk6ybOgbAOWm0UpnkSJJ/2923V9XXJbmtqm5J8qYke7r7+qq6Nsm1SX5hxBxnbNOmTVNHYA6Wl7+QJNn0zcrGuW+dP9cAIxmtVHb3gSQHZutfqKq7kmxIckWSV85225Xk1jxFS+XWrVunjsAcbNu2LUmyffv2iZMAwMo1l/dUVtXGJN+e5ENJ1s0K56PF86J5ZAAAYDyjl8qqemaSP0jyM939+dM47uqq2ltVew8ePDheQAAABhu1VFbV1+RYofz97v7D2eYHqmr97PX1SR480bHdvbO7l7p7ae3atWPGBABgoDE//V1JfjvJXd39q8e9dHOSLUmuny1vGisDAMfc+8VVeevtvuHgXPbAl47NE617xiMTJ2Fs935xVS6ZOsQJjPnp71ck+VdJ7qyqO2bbfinHyuSNVXVVknuTXDliBoCF5xPvi+Ery8tJkq/9Jv+9z3WX5Kn553rMT3//nyT1BC9fOtZ1AfiHfJPFYvBNFkzNE3UAABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYDClEgCAwZRKAAAGUyoBABhMqQQAYLDRSmVV/U5VPVhVHz1u2wVVdUtV3TNbPnus6wMAMD9jzlT+bpLNj9l2bZI93X1Jkj2zMQAAK9xopbK7/yTJZx+z+Yoku2bru5K8ZqzrAwAwP/N+T+W67j6QJLPlRXO+PgAAI3jKflCnqq6uqr1VtffgwYNTxwEA4CTmXSofqKr1STJbPvhEO3b3zu5e6u6ltWvXzi0gAACnb96l8uYkW2brW5LcNOfrAwAwgjG/UuhtST6Y5IVVdV9VXZXk+iSXV9U9SS6fjQEAWOFWj3Xi7n7DE7x06VjXBABgGk/ZD+oAALByKJUAAAymVAIAMJhSCQDAYEolAACDKZUAAAymVAIAMJhSCQDAYEolAACDKZUAAAymVAIAMJhSCQDAYEolAACDKZUAAAymVAIAMJhSCQDAYEolAACDKZUAAAymVAIAMJhSCQDAYEolAACDKZUAAAy2eoqLVtXmJNuTrEryW919/RQ5eLwdO3ZkeXl56hhz9ejPu23btomTzN+mTZuydevWqWMAcA6Ye6msqlVJfi3J5UnuS/Lhqrq5u/9y3lkgSdasWTN1BOAs8wvyYvEL8lPDFDOVL0+y3N2fSJKqenuSK5IolU8B/lACrEx+QWZqU5TKDUk+ddz4viTfOUEOAM5RfkGG+Zvigzp1gm39uJ2qrq6qvVW19+DBg3OIBQDAmZqiVN6X5OLjxs9Ncv9jd+rund291N1La9eunVs4AABO3xSl8sNJLqmq51fV05K8PsnNE+QAAOAsmft7Krv7SFX9dJL35thXCv1Od39s3jkAADh7Jvmeyu5+T5L3THFtAADOPk/UAQBgMKUSAIDBlEoAAAZTKgEAGEypBABgMKUSAIDBqvtxT0h8yqmqg0k+OXUOzmnPSfKZqUMADOTvMubhm7r7cY87XBGlEsZWVXu7e2nqHABD+LuMKbn9DQDAYEolAACDKZVwzM6pAwCcBf4uYzLeUwkAwGBmKgEAGEypZOFV1eaq+quqWq6qa6fOA3C6qup3qurBqvro1FlYXEolC62qViX5tSQ/mOTFSd5QVS+eNhXAafvdJJunDsFiUypZdC9Pstzdn+juryR5e5IrJs4EcFq6+0+SfHbqHCw2pZJFtyHJp44b3zfbBgCcBqWSRVcn2OYrEQDgNCmVLLr7klx83Pi5Se6fKAsArFhKJYvuw0kuqarnV9XTkrw+yc0TZwKAFUepZKF195EkP53kvUnuSnJjd39s2lQAp6eq3pbkg0leWFX3VdVVU2di8XiiDgAAg5mpBABgMKUSAIDBlEoAAAZTKgEAGEypBABgMKUS4AlU1b+rqo9V1Ueq6o6q+s6zcM5XV9W1ZynfF8/GeQDOBl8pBHACVfXdSX41ySu7+8tV9ZwkT+vuJ33iUlWtnn0H6tgZv9jdzxz7OgCnwkwlwImtT/KZ7v5yknT3Z7r7/qraNyuYqaqlqrp1tv7LVbWzqt6X5Iaq+lBVfeujJ6uqW6vqZVX1pqr6r1X19bNznTd7/RlV9amq+pqq+paq2l1Vt1XVB6rqRbN9nl9VH6yqD1fVf5jzvw+Ak1IqAU7sfUkurqq/rqpfr6rvPYVjXpbkiu7+l0nenuR1SVJV65N8Y3ff9uiO3f25JH+R5NHz/kiS93b3V5PsTLK1u1+W5OeS/Ppsn+1JfqO7/2mSTw/+CQHOIqUS4AS6+4s5VhKvTnIwyTuq6k1PctjN3X14tn5jkitn669L8s4T7P+OJD82W3/97BrPTPI9Sd5ZVXck+c0cmzVNklckedts/fdO6wcCGNnqqQMAPFV199Ektya5taruTLIlyZH8/S/kT3/MIQ8fd+z+qjpUVf8kx4rjT57gEjcn+Y9VdUGOFdj/neT8JH/b3S99olhn+OMAjMpMJcAJVNULq+qS4za9NMknk+zLsQKYJK99ktO8PcnPJ/n67r7zsS/OZkP/LMdua/9Rdx/t7s8n+ZuqunKWo6rqJbND/jTHZjST5MdP/6cCGI9SCXBiz0yyq6r+sqo+kuTFSX45ya8k2V5VH0hy9EnO8a4cK4E3nmSfdyT5idnyUT+e5Kqq+oskH0tyxWz7tiQ/VVUfTvL1p/fjAIzLVwoBADCYmUoAAAZTKgEAGEypBABgMKUSAIDBlEoAAAZTKgEAGEypBABgMKUSAIDB/j+/F7Msl3K5dgAAAABJRU5ErkJggg==\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "f, ax = plt.subplots (figsize =(5,2))\nsns.barplot(x=\"Sex\", y= \"Survived\", data = data)", | |
"execution_count": 131, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 131, | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x21df659af10>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 360x144 with 1 Axes>", | |
"image/png": 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RUSGJMiKiQhJlRESFJMqIiApJlBERFZIoIyIqJFFGRFRIooyIqPB/k/0khyW3yZEAAAAASUVORK5CYII=\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "f, ax = plt. subplots(figsize = (11,5))\nsns.boxplot(x=\"Sex\", y = \"Age\", hue=\"Survived\", data = data)", | |
"execution_count": 135, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 135, | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x21df659a640>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 792x360 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.barplot(x=\"Pclass\", y=\"Survived\", hue=\"Sex\", data=data)", | |
"execution_count": 138, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 138, | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x21df6800550>" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "sns.barplot(x=\"SibSp\", y=\"Survived\", data = data);", | |
"execution_count": 145, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": "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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "# density + Histograph = distplot\n\nsurvived=data.loc[data[\"Survived\"]==1,\"Age\"].dropna()\nsns.distplot(survived)\nplt.title(\"Survived\")", | |
"execution_count": 146, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 146, | |
"data": { | |
"text/plain": "Text(0.5, 1.0, 'Survived')" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "not_survived=data.loc[data[\"Survived\"]==0, \"Age\"].dropna()\nsns.distplot(not_survived)\nplt.title(\"Not Survived\")", | |
"execution_count": 153, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 153, | |
"data": { | |
"text/plain": "Text(0.5, 1.0, 'Not Survived')" | |
}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 432x288 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "", | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "", | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "", | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "", | |
"execution_count": null, | |
"outputs": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3", | |
"language": "python" | |
}, | |
"language_info": { | |
"name": "python", | |
"version": "3.8.3", | |
"mimetype": "text/x-python", | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"pygments_lexer": "ipython3", | |
"nbconvert_exporter": "python", | |
"file_extension": ".py" | |
}, | |
"gist": { | |
"id": "", | |
"data": { | |
"description": "Untitled8.ipynb", | |
"public": true | |
} | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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