{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Arche allows you to compare two data sets. All you have to do is call the `Arche` with a `source` (that is the data source to validate) and a `target` (a data source to compare with)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from arche import *\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://raw.githubusercontent.com/scrapinghub/arche/master/docs/source/nbs/data\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = Arche(source=pd.read_csv(f\"{url}/items_products_8.csv\"), target=pd.read_csv(f\"{url}/items_products_7.csv\"),\n",
    "          schema=f\"{url}/products.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a.report_all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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