{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2019-01-26T02:41:05.174527Z", "start_time": "2019-01-26T02:40:42.363567Z" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/vnd.plotly.v1+html": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/vnd.plotly.v1+html": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Data science imports\n", "import pandas as pd\n", "import numpy as np\n", "\n", "%load_ext autoreload\n", "%autoreload 2\n", "\n", "import sys\n", "sys.path.append('../..')\n", "\n", "# Options for pandas\n", "pd.options.display.max_columns = 20\n", "\n", "# Display all cell outputs\n", "from IPython.core.interactiveshell import InteractiveShell\n", "InteractiveShell.ast_node_interactivity = 'all'\n", "\n", "import plotly.plotly as py\n", "import plotly.graph_objs as go\n", "import cufflinks\n", "cufflinks.go_offline()\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2019-01-26T02:41:06.331434Z", "start_time": "2019-01-26T02:41:05.388954Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", " | BirdID | \n", "KnownSex | \n", "BillDepth | \n", "BillWidth | \n", "BillLength | \n", "Head | \n", "Mass | \n", "Skull | \n", "Sex | \n", "
---|---|---|---|---|---|---|---|---|---|
119 | \n", "962-62176 | \n", "M | \n", "8.70 | \n", "9.12 | \n", "24.62 | \n", "56.61 | \n", "77.00 | \n", "31.99 | \n", "1 | \n", "
120 | \n", "962-62181 | \n", "M | \n", "7.96 | \n", "9.80 | \n", "25.07 | \n", "55.68 | \n", "68.00 | \n", "30.61 | \n", "1 | \n", "
121 | \n", "962-62184 | \n", "F | \n", "7.90 | \n", "9.30 | \n", "23.60 | \n", "53.90 | \n", "63.90 | \n", "30.30 | \n", "0 | \n", "
122 | \n", "962-62185 | \n", "F | \n", "7.63 | \n", "8.56 | \n", "24.29 | \n", "54.19 | \n", "70.45 | \n", "29.90 | \n", "0 | \n", "
123 | \n", "962-62200 | \n", "F | \n", "7.90 | \n", "8.00 | \n", "23.00 | \n", "52.70 | \n", "66.00 | \n", "29.70 | \n", "0 | \n", "