{
"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",
"* [Sequence outliers](#chapter3)\n",
"* [Interactive visualization](#chapter4)\n",
"* [Outliers imputation](#chapter5)"
]
},
{
"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": {
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