Skip to content

Instantly share code, notes, and snippets.

@chriswl

chriswl/ggplot examples

Created November 7, 2013 13:50
Show Gist options
  • Save chriswl/7354868 to your computer and use it in GitHub Desktop.
Save chriswl/7354868 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
ggplot examples
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"# import sys\n",
"# # sys.path.append('/usr/lib/python2.7/dist-packages/gtk-2.0/')\n",
"# sys.path.append('/usr/lib/python2.7/dist-packages/')\n",
"# import cairo"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# print(sys.path)\n",
"\n",
"# import matplotlib\n",
"# matplotlib.use('GTK3Agg')\n",
"# %pylab --no-import-all\n",
"\n",
"# import scipy\n",
"from ggplot import *\n",
"\n",
"# matplotlib.matplotlib_fname()"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"meat"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"a = aes(x='index')\n",
"a.DEFAULT_ARGS"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df = pd.DataFrame({\n",
" \"x\": np.arange(0, 100),\n",
" \"y\": np.arange(0, 100),\n",
" \"z\": np.arange(0, 100)\n",
"})\n",
"\n",
"df['cat'] = np.where(df.x*2 > 50, 'blah', 'blue')\n",
"df['cat'] = np.where(df.y > 50, 'hello', df.cat)\n",
"df['cat2'] = np.where(df.y < 15, 'one', 'two')\n",
"df['y'] = np.sin(df.y)\n",
"\n",
"gg = ggplot(aes(x=\"x\", y=\"z\", color=\"cat\", alpha=0.2), data=df)"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"gg"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"gg = ggplot(aes(x=\"x\", color=\"c\"), data=pd.DataFrame({\"x\": np.random.normal(0, 1, 10000), \"c\": [\"blue\" if i%2==0 else \"red\" for i in range(10000)]}))\n",
"gg"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#print gg + geom_density() + xlab(\"x label\") + ylab(\"y label\")\n",
"gg = ggplot(aes(x=\"x\", y=\"y\", shape=\"cat2\", color=\"cat\"), data=df)\n",
"#print gg + geom_point() + facet_wrap(x=\"cat\", y=\"cat2\")\n",
"#print gg + geom_point() + facet_wrap(y=\"cat2\") + ggtitle(\"My Single Facet\")\n",
"#print gg + stat_smooth(color=\"blue\") + ggtitle(\"My Smoothed Chart\")\n",
"#print gg + geom_histogram() + ggtitle(\"My Histogram\")\n",
"#print gg + geom_point() + geom_vline(x=50, ymin=-10, ymax=10)\n",
"#print gg + geom_point() + geom_hline(y=50, xmin=-10, xmax=10)\n",
"df['z'] = df['y'] + 100\n",
"gg = ggplot(aes(x='x', ymax='y', ymin='z'), data=df)\n",
"#print gg + geom_bar() + facet_wrap(x=\"cat2\")\n",
"#print gg + geom_area() + facet_wrap(x=\"cat2\")\n",
"gg = ggplot(aes(x='x', ymax='y', ymin='z', color=\"cat2\"), data=df)\n",
"#print gg + geom_area()\n",
"df['x'] = np.random.randint(0, 10, 100)\n",
"df['y'] = np.random.randint(0, 10, 100)\n",
"gg = ggplot(aes(x='x', y='y', shape='cat', color='cat2'), data=df)\n",
"#print df.head()\n",
"#print gg + geom_point()"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"meat_lng = pd.melt(meat[['date', 'beef', 'pork', 'broilers']], id_vars='date')\n",
"ggplot(aes(x='date', y='value', colour='variable'), data=meat_lng) + \\\n",
" geom_point() + \\\n",
" stat_smooth(color='red')"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Meat"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"meat_lng = pd.melt(meat, id_vars=['date'])\n",
"\n",
"p = ggplot(aes(x='date', y='value'), data=meat_lng)\n",
"print(p) "
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print p + geom_point() + \\\n",
" stat_smooth(colour=\"red\") + \\\n",
" facet_wrap(\"variable\")"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print p + geom_histogram()+ facet_wrap()\n",
"p = ggplot(diamonds, aes(x='price'))"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"p = p + geom_density() + \\\n",
" facet_grid(\"cut\", \"clarity\")\n",
"print(p)"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"p = ggplot(diamonds, aes(x='carat', y='price'))\n",
"print(p + geom_point(alpha=0.25) + \\\n",
" facet_grid(\"cut\", \"clarity\"))"
],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment