{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Jupyter Data Science Workflow\n",
"\n",
"### From exploratory analysis to reproducible science\n",
"\n",
"*Jake VanderPlas*\n",
"\n",
"*University of Washington eScience Institute*"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"plt.style.use('seaborn')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from jupyterworkflow.data import get_fremont_data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"
\n",
" \n",
" \n",
" | \n",
" West | \n",
" East | \n",
" Total | \n",
"
\n",
" \n",
" | Date | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" | 2012-10-03 00:00:00 | \n",
" 4.0 | \n",
" 9.0 | \n",
" 13.0 | \n",
"
\n",
" \n",
" | 2012-10-03 01:00:00 | \n",
" 4.0 | \n",
" 6.0 | \n",
" 10.0 | \n",
"
\n",
" \n",
" | 2012-10-03 02:00:00 | \n",
" 1.0 | \n",
" 1.0 | \n",
" 2.0 | \n",
"
\n",
" \n",
" | 2012-10-03 03:00:00 | \n",
" 2.0 | \n",
" 3.0 | \n",
" 5.0 | \n",
"
\n",
" \n",
" | 2012-10-03 04:00:00 | \n",
" 6.0 | \n",
" 1.0 | \n",
" 7.0 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"
\n",
" \n",
" \n",
" | \n",
" 2012-10-03 | \n",
" 2012-10-04 | \n",
" 2012-10-05 | \n",
" 2012-10-06 | \n",
" 2012-10-07 | \n",
"
\n",
" \n",
" \n",
" \n",
" | 00:00:00 | \n",
" 13.0 | \n",
" 18.0 | \n",
" 11.0 | \n",
" 15.0 | \n",
" 11.0 | \n",
"
\n",
" \n",
" | 01:00:00 | \n",
" 10.0 | \n",
" 3.0 | \n",
" 8.0 | \n",
" 15.0 | \n",
" 17.0 | \n",
"
\n",
" \n",
" | 02:00:00 | \n",
" 2.0 | \n",
" 9.0 | \n",
" 7.0 | \n",
" 9.0 | \n",
" 3.0 | \n",
"
\n",
" \n",
" | 03:00:00 | \n",
" 5.0 | \n",
" 3.0 | \n",
" 4.0 | \n",
" 3.0 | \n",
" 6.0 | \n",
"
\n",
" \n",
" | 04:00:00 | \n",
" 7.0 | \n",
" 8.0 | \n",
" 9.0 | \n",
" 5.0 | \n",
" 3.0 | \n",
"
\n",
" \n",
"
\n",
"