{
"cells": [
{
"cell_type": "markdown",
"id": "5aacb872",
"metadata": {},
"source": [
"# Outliers notebook\n",
"\n",
"\n",
" ![](\"https://mybinder.org/badge_logo.svg\")
\n",
""
]
},
{
"cell_type": "markdown",
"id": "1417fe98",
"metadata": {},
"source": [
"This notebook contains the simple examples of outliers handling using ETNA library.\n",
"\n",
"**Table of Contents**\n",
"\n",
"* [Uploading dataset](#chapter1) \n",
"* [Point outliers](#chapter2)\n",
" * [Median method](#section_2_1)\n",
" * [Density method](#section_2_2)\n",
" * [Prediction interval method](#section_2_3)\n",
" * [Histogram method](#section_2_4)\n",
"* [Interactive visualization](#chapter3)\n",
"* [Outliers imputation](#chapter4)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "92c89670",
"metadata": {},
"outputs": [],
"source": [
"import warnings\n",
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "markdown",
"id": "e7d6ade6",
"metadata": {},
"source": [
"### 1. Uploading dataset "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e4f62424",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from etna.datasets.tsdataset import TSDataset"
]
},
{
"cell_type": "markdown",
"id": "6125c3c0",
"metadata": {},
"source": [
"Let's load and look at the dataset"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "83a744a2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": "segment segment_a segment_b segment_c segment_d\nfeature target target target target\ntimestamp \n2019-01-01 170 102 92 238\n2019-01-02 243 123 107 358\n2019-01-03 267 130 103 366\n2019-01-04 287 138 103 385\n2019-01-05 279 137 104 384",
"text/html": "\n\n
\n \n \n | segment | \n segment_a | \n segment_b | \n segment_c | \n segment_d | \n
\n \n | feature | \n target | \n target | \n target | \n target | \n
\n \n | timestamp | \n | \n | \n | \n | \n
\n \n \n \n | 2019-01-01 | \n 170 | \n 102 | \n 92 | \n 238 | \n
\n \n | 2019-01-02 | \n 243 | \n 123 | \n 107 | \n 358 | \n
\n \n | 2019-01-03 | \n 267 | \n 130 | \n 103 | \n 366 | \n
\n \n | 2019-01-04 | \n 287 | \n 138 | \n 103 | \n 385 | \n
\n \n | 2019-01-05 | \n 279 | \n 137 | \n 104 | \n 384 | \n
\n \n
\n