{ "cells": [ { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "100.0\n" ] } ], "source": [ "temp = 212.0\n", "\n", "def toCelsius(fahrenheit):\n", " return (fahrenheit - 32) * 5.0 / 9.0\n", "\n", "print toCelsius(temp)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Imports run.\n" ] } ], "source": [ "import pandas as pd\n", "from pandas.io import gbq\n", "\n", "print \"Imports run.\"" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running query...\n", "Requesting query... ok.\n", "Query running...\n", "Query done.\n", "Cache hit.\n", "\n", "Retrieving results...\n", "Got 40 rows.\n", "\n", "Total time taken 1.2 s.\n", "Finished at 2017-03-24 19:46:14.\n" ] }, { "data": { "text/html": [ "
\n", " | year | \n", "avg_weight | \n", "
---|---|---|
0 | \n", "1969 | \n", "7.203189 | \n", "
1 | \n", "1970 | \n", "7.222404 | \n", "
2 | \n", "1971 | \n", "7.245800 | \n", "
3 | \n", "1972 | \n", "7.254677 | \n", "
4 | \n", "1973 | \n", "7.266844 | \n", "