{ "cells": [ { "cell_type": "markdown", "id": "8c99d6eb-109a-4aa0-9237-8b7b07e8101f", "metadata": {}, "source": [ "## Spatio-Temporal Clustering" ] }, { "cell_type": "code", "execution_count": 1, "id": "4d300f10-4b48-4360-8770-9cef7e3c17ae", "metadata": {}, "outputs": [], "source": [ "import movekit as mkit\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from matplotlib import animation" ] }, { "cell_type": "code", "execution_count": 2, "id": "c6c91190-5438-444c-b1bc-4543ab449879", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | time | \n", "animal_id | \n", "x | \n", "y | \n", "
---|---|---|---|---|
0 | \n", "0 | \n", "0 | \n", "201.623002 | \n", "186.148565 | \n", "
1 | \n", "0 | \n", "1 | \n", "247.658670 | \n", "177.650135 | \n", "
2 | \n", "0 | \n", "2 | \n", "127.457230 | \n", "20.572136 | \n", "
3 | \n", "0 | \n", "3 | \n", "231.180722 | \n", "172.861323 | \n", "
4 | \n", "0 | \n", "4 | \n", "217.739517 | \n", "189.203565 | \n", "