{
"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",
"
\n",
" \n",
" \n",
" | \n",
" year | \n",
" avg_weight | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" 1969 | \n",
" 7.203189 | \n",
"
\n",
" \n",
" | 1 | \n",
" 1970 | \n",
" 7.222404 | \n",
"
\n",
" \n",
" | 2 | \n",
" 1971 | \n",
" 7.245800 | \n",
"
\n",
" \n",
" | 3 | \n",
" 1972 | \n",
" 7.254677 | \n",
"
\n",
" \n",
" | 4 | \n",
" 1973 | \n",
" 7.266844 | \n",
"
\n",
" \n",
"
\n",
"