{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Andmete seadistamine\n",
"\n",
"Selles märkmikus näitame, kuidas:\n",
"- seadistada ajarealisi andmeid selle mooduli jaoks\n",
"- visualiseerida andmeid\n",
"\n",
"Selle näite andmed pärinevad GEFCom2014 prognoosimisvõistluselt1. Need sisaldavad 3 aastat tunnipõhiseid elektritarbimise ja temperatuuri väärtusi ajavahemikus 2012–2014.\n",
"\n",
"1Tao Hong, Pierre Pinson, Shu Fan, Hamidreza Zareipour, Alberto Troccoli ja Rob J. Hyndman, \"Tõenäosuslik energiaprognoosimine: Global Energy Forecasting Competition 2014 ja edasi\", International Journal of Forecasting, kd.32, nr.3, lk 896-913, juuli-september, 2016.\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import matplotlib.pyplot as plt\n",
"from common.utils import load_data\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Laadi andmed CSV-st Pandase andmeraami.\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" load\n",
"2012-01-01 00:00:00 2698.0\n",
"2012-01-01 01:00:00 2558.0\n",
"2012-01-01 02:00:00 2444.0\n",
"2012-01-01 03:00:00 2402.0\n",
"2012-01-01 04:00:00 2403.0"
],
"text/html": "\n\n
\n \n \n | \n load | \n
\n \n \n \n | 2012-01-01 00:00:00 | \n 2698.0 | \n
\n \n | 2012-01-01 01:00:00 | \n 2558.0 | \n
\n \n | 2012-01-01 02:00:00 | \n 2444.0 | \n
\n \n | 2012-01-01 03:00:00 | \n 2402.0 | \n
\n \n | 2012-01-01 04:00:00 | \n 2403.0 | \n
\n \n
\n