{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from matplotlib import cm\n", "from colorspacious import cspace_converter" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2. Wind Visualization" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | LON | \n", "LAT | \n", "UTM_X | \n", "UTM_Y | \n", "MORPH | \n", "wind | \n", "
---|---|---|---|---|---|---|
0 | \n", "122.52307 | \n", "32.455536 | \n", "-109289.882 | \n", "3609459.656 | \n", "sea | \n", "7.59 | \n", "
1 | \n", "122.53369 | \n", "32.455975 | \n", "-108286.076 | \n", "3609447.524 | \n", "sea | \n", "7.59 | \n", "
2 | \n", "122.54428 | \n", "32.456398 | \n", "-107285.223 | \n", "3609433.886 | \n", "sea | \n", "7.60 | \n", "
3 | \n", "122.55487 | \n", "32.456830 | \n", "-106284.328 | \n", "3609421.348 | \n", "sea | \n", "7.59 | \n", "
4 | \n", "122.56546 | \n", "32.457256 | \n", "-105283.491 | \n", "3609408.244 | \n", "sea | \n", "7.60 | \n", "