{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/home/filipe/.virtualenvs/iris/lib/python2.7/site-packages/folium/__init__.py\n", "0.2.0\n" ] } ], "source": [ "import folium\n", "\n", "print(folium.__file__)\n", "print(folium.__version__)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import numpy.ma as ma\n", "import matplotlib.pyplot as plt\n", "\n", "from scipy.io import loadmat\n", "\n", "\n", "def colorize(array, cmap='rainbow'):\n", " normed_data = (array - array.min()) / (array.max() - array.min())\n", " cm = plt.cm.get_cmap(cmap)\n", " return cm(normed_data)\n", "\n", "\n", "merc = loadmat('./data/mercator_temperature.mat', squeeze_me=True)\n", "x, y = merc['x'], merc['y']\n", "level = 10 # 10 meters temperature.\n", "data = ma.masked_invalid(merc['temp'][level, ...])\n", "\n", "colored_data = colorize(data, cmap='rainbow')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "