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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot Points On A Map\n",
"\n",
"- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
"- **Date:** -\n",
"- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n",
"- **Note:**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2: Run this script"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Preliminaries"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Import pandas\n",
"import pandas as pd\n",
"\n",
"# Import matplotlib and Basemap\n",
"import matplotlib.pyplot as plt\n",
"from mpl_toolkits.basemap import Basemap\n",
"\n",
"# Set iPython to display visualization inline\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"raw_data = {'latitude': [27.173968, 27.164328, 20.930555, 31.784217, 29.935895],\n",
" 'longitude': [78.037519, 78.015289, 49.948611, 35.134277, 29.935895]}\n",
"df = pd.DataFrame(raw_data, columns = ['latitude', 'longitude'])\n",
"df"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
"
\n",
" \n",
" \n",
" | \n",
" latitude | \n",
" longitude | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" 27.173968 | \n",
" 78.037519 | \n",
"
\n",
" \n",
" | 1 | \n",
" 27.164328 | \n",
" 78.015289 | \n",
"
\n",
" \n",
" | 2 | \n",
" 20.930555 | \n",
" 49.948611 | \n",
"
\n",
" \n",
" | 3 | \n",
" 31.784217 | \n",
" 35.134277 | \n",
"
\n",
" \n",
" | 4 | \n",
" 29.935895 | \n",
" 29.935895 | \n",
"
\n",
" \n",
"
\n",
"