{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "import pandas as pd\n", "import numpy as np\n", "from matplotlib import pyplot as plt\n", "import matplotlib.cm as cm\n", "import numpy as np\n", "from math import pi" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from windrose import WindroseAxes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Create wind speed and direction variables" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "N = 500\n", "ws = np.random.random(N)*6\n", "wd = np.random.random(N)*360" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | direction | \n", "speed | \n", "
---|---|---|
0 | \n", "215.262198 | \n", "3.097674 | \n", "
1 | \n", "319.188158 | \n", "4.853040 | \n", "
2 | \n", "275.980176 | \n", "5.391387 | \n", "
3 | \n", "91.111268 | \n", "3.708316 | \n", "
4 | \n", "266.453726 | \n", "2.298292 | \n", "
5 | \n", "155.509724 | \n", "4.989684 | \n", "
6 | \n", "333.902822 | \n", "4.456108 | \n", "
7 | \n", "177.208871 | \n", "4.568336 | \n", "
8 | \n", "306.216666 | \n", "2.069329 | \n", "
9 | \n", "105.776877 | \n", "3.106843 | \n", "
10 | \n", "292.404955 | \n", "3.610744 | \n", "
11 | \n", "144.199129 | \n", "4.388195 | \n", "
12 | \n", "223.580591 | \n", "4.032557 | \n", "
13 | \n", "350.454358 | \n", "3.838077 | \n", "
14 | \n", "168.200246 | \n", "1.759043 | \n", "
15 | \n", "321.778093 | \n", "4.245708 | \n", "
16 | \n", "329.518157 | \n", "3.296086 | \n", "
17 | \n", "93.787206 | \n", "1.738636 | \n", "
18 | \n", "318.695791 | \n", "4.860143 | \n", "
19 | \n", "271.512474 | \n", "2.275167 | \n", "
20 | \n", "345.167955 | \n", "0.167950 | \n", "
21 | \n", "204.396710 | \n", "5.241221 | \n", "
22 | \n", "306.748871 | \n", "4.571908 | \n", "
23 | \n", "180.211004 | \n", "5.087667 | \n", "
24 | \n", "256.064927 | \n", "2.347778 | \n", "
25 | \n", "94.701413 | \n", "4.673976 | \n", "
26 | \n", "152.465427 | \n", "5.782738 | \n", "
27 | \n", "224.871745 | \n", "1.020907 | \n", "
28 | \n", "90.549226 | \n", "5.344184 | \n", "
29 | \n", "301.315502 | \n", "5.189904 | \n", "
... | \n", "... | \n", "... | \n", "
470 | \n", "359.391320 | \n", "3.649401 | \n", "
471 | \n", "207.018491 | \n", "4.315531 | \n", "
472 | \n", "159.883184 | \n", "4.384715 | \n", "
473 | \n", "119.002422 | \n", "5.267992 | \n", "
474 | \n", "172.405694 | \n", "0.921656 | \n", "
475 | \n", "179.992617 | \n", "2.136770 | \n", "
476 | \n", "135.081384 | \n", "0.010645 | \n", "
477 | \n", "359.436428 | \n", "0.692742 | \n", "
478 | \n", "50.440449 | \n", "3.756566 | \n", "
479 | \n", "190.887721 | \n", "4.500391 | \n", "
480 | \n", "270.809735 | \n", "2.267938 | \n", "
481 | \n", "177.123526 | \n", "0.591785 | \n", "
482 | \n", "62.060480 | \n", "1.082086 | \n", "
483 | \n", "97.018199 | \n", "2.401951 | \n", "
484 | \n", "335.674333 | \n", "5.915831 | \n", "
485 | \n", "338.363379 | \n", "3.688760 | \n", "
486 | \n", "206.995024 | \n", "3.605537 | \n", "
487 | \n", "302.611193 | \n", "0.959565 | \n", "
488 | \n", "156.178855 | \n", "3.432469 | \n", "
489 | \n", "53.498967 | \n", "4.417359 | \n", "
490 | \n", "61.148478 | \n", "3.364768 | \n", "
491 | \n", "121.051504 | \n", "1.898999 | \n", "
492 | \n", "38.658609 | \n", "5.562019 | \n", "
493 | \n", "10.665699 | \n", "0.645992 | \n", "
494 | \n", "272.843433 | \n", "1.153355 | \n", "
495 | \n", "277.176995 | \n", "4.540049 | \n", "
496 | \n", "329.515710 | \n", "3.244110 | \n", "
497 | \n", "110.457168 | \n", "5.390673 | \n", "
498 | \n", "26.037311 | \n", "3.559466 | \n", "
499 | \n", "235.266073 | \n", "3.510471 | \n", "
500 rows × 2 columns
\n", "