{ "cells": [ { "cell_type": "markdown", "id": "55b73472-831c-45c7-acb1-8b7ed5ceb21a", "metadata": {}, "source": [ "# Scrapping Meneame.net" ] }, { "cell_type": "code", "execution_count": 1, "id": "bae700ff-2ef8-493c-9ccb-bcb2f76c10a4", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from datetime import datetime\n", "import time\n", "\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "pd.options.display.float_format = '{:.2f}'.format #Desactivar notación científica en pandas:\n", "np.set_printoptions(suppress=True) #Desactivar notación científica en numpy:\n", "pd.set_option('display.max_columns', None) #comando para mostrar todas las columnas" ] }, { "cell_type": "code", "execution_count": 2, "id": "6476875d-a047-4a46-bae0-b3f9a05466a0", "metadata": {}, "outputs": [], "source": [ "from bs4 import BeautifulSoup\n", "import requests" ] }, { "cell_type": "code", "execution_count": 3, "id": "59abd17c-9c4c-496a-bfca-e28a8ce4c862", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "b'\\r\\n